Products_Recommender_1.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Products_Recommender_1.ipynb","provenance":[],"collapsed_sections":["RWZ1JxEWJR-4","3y3FPq27JlE9","Twxlar4fQxac","jRTGG1WRWR0D","4xbc0kQNWbLe"],"mount_file_id":"1P78nsYcj47MfQ5U2xh5C0U4O8IUlZQck","authorship_tag":"ABX9TyNPes6+vtzBvnha6Kt8b/j8"},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"markdown","metadata":{"id":"RWZ1JxEWJR-4"},"source":["#Importing Packages"]},{"cell_type":"code","metadata":{"id":"7O7MwxbZ_7Dx"},"source":["pip install turicreate"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"MW-jbkOR0viP"},"source":["import re\n","import turicreate as tc\n","import pandas as pd\n","from pandas import Series,DataFrame\n","import numpy as np\n","import matplotlib.pyplot as plt\n","from matplotlib import rcParams\n","import string\n","import random\n"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"6h345K0YJGIL"},"source":["import gc\n","import time\n","import seaborn as sns\n","from scipy.sparse import csr_matrix, hstack\n","from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer\n","from sklearn.preprocessing import LabelBinarizer\n","from sklearn.model_selection import train_test_split, cross_val_score\n","from sklearn.metrics import mean_squared_error\n","import lightgbm as lgb"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"3y3FPq27JlE9"},"source":["#Processing Dataset"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":204},"id":"WyaTbY8j00WA","executionInfo":{"status":"ok","timestamp":1619421498008,"user_tz":-330,"elapsed":76200,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"241a17a2-59b5-4208-93b5-cb677944d84d"},"source":["fashion = tc.SFrame.read_csv('/content/drive/My Drive/AMAZON_FASHION.csv',header = None)"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/html":["<pre>Finished parsing file /content/drive/My Drive/AMAZON_FASHION.csv</pre>"],"text/plain":["Finished parsing file /content/drive/My Drive/AMAZON_FASHION.csv"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Parsing completed. Parsed 100 lines in 3.10958 secs.</pre>"],"text/plain":["Parsing completed. Parsed 100 lines in 3.10958 secs."]},"metadata":{"tags":[]}},{"output_type":"stream","text":["------------------------------------------------------\n","Inferred types from first 100 line(s) of file as \n","column_type_hints=[str,str,float,int]\n","If parsing fails due to incorrect types, you can correct\n","the inferred type list above and pass it to read_csv in\n","the column_type_hints argument\n","------------------------------------------------------\n"],"name":"stdout"},{"output_type":"display_data","data":{"text/html":["<pre>Finished parsing file /content/drive/My Drive/AMAZON_FASHION.csv</pre>"],"text/plain":["Finished parsing file /content/drive/My Drive/AMAZON_FASHION.csv"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Parsing completed. Parsed 883636 lines in 1.10568 secs.</pre>"],"text/plain":["Parsing completed. Parsed 883636 lines in 1.10568 secs."]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":279},"id":"EBwjMBa1Pgv2","executionInfo":{"status":"ok","timestamp":1619421498014,"user_tz":-330,"elapsed":76182,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"dabfdffb-053a-4e00-b801-cd72a4972fc3"},"source":["fashion.rename({'X1':'ProdID','X2':'UserID','X3':'Rating','X4':'Timestamp'},inplace=True)\n","fashion.remove_column('Timestamp',inplace=True)\n","fashion"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\"><table frame=\"box\" rules=\"cols\">\n","    <tr>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">ProdID</th>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">UserID</th>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">Rating</th>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7106116521</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A1D4G1SNUZWQOT</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7106116521</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3DDWDH9PX2YX2</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7106116521</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A2MWC41EW7XL15</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7106116521</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A2UH2QQ275NV45</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7106116521</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A89F3LQADZBS5</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">3.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7106116521</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A29HLOUW0NS0EH</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7106116521</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A7QS961ROI6E0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00007GDFV</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A1BB77SEBQT8VX</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">3.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00007GDFV</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">AHWOW7D1ABO9C</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">3.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00007GDFV</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">AKS3GULZE0HFC</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">3.0</td>\n","    </tr>\n","</table>\n","[883636 rows x 3 columns]<br/>Note: Only the head of the SFrame is printed.<br/>You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.\n","</div>"],"text/plain":["Columns:\n","\tProdID\tstr\n","\tUserID\tstr\n","\tRating\tfloat\n","\n","Rows: 883636\n","\n","Data:\n","+------------+----------------+--------+\n","|   ProdID   |     UserID     | Rating |\n","+------------+----------------+--------+\n","| 7106116521 | A1D4G1SNUZWQOT |  5.0   |\n","| 7106116521 | A3DDWDH9PX2YX2 |  2.0   |\n","| 7106116521 | A2MWC41EW7XL15 |  4.0   |\n","| 7106116521 | A2UH2QQ275NV45 |  2.0   |\n","| 7106116521 | A89F3LQADZBS5  |  3.0   |\n","| 7106116521 | A29HLOUW0NS0EH |  5.0   |\n","| 7106116521 | A7QS961ROI6E0  |  4.0   |\n","| B00007GDFV | A1BB77SEBQT8VX |  3.0   |\n","| B00007GDFV | AHWOW7D1ABO9C  |  3.0   |\n","| B00007GDFV | AKS3GULZE0HFC  |  3.0   |\n","+------------+----------------+--------+\n","[883636 rows x 3 columns]\n","Note: Only the head of the SFrame is printed.\n","You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns."]},"metadata":{"tags":[]},"execution_count":5}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":289},"id":"QY4Lhx5Vqw0T","executionInfo":{"status":"ok","timestamp":1619421533505,"user_tz":-330,"elapsed":111651,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"7e73fa85-64f9-47b1-a789-a36385fad136"},"source":["fashion_meta = tc.SFrame.read_json('/content/drive/My Drive/meta_AMAZON_FASHION.json',orient='lines')"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/html":["<pre>Finished parsing file /content/drive/My Drive/meta_AMAZON_FASHION.json</pre>"],"text/plain":["Finished parsing file /content/drive/My Drive/meta_AMAZON_FASHION.json"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Parsing completed. Parsed 100 lines in 2.77741 secs.</pre>"],"text/plain":["Parsing completed. Parsed 100 lines in 2.77741 secs."]},"metadata":{"tags":[]}},{"output_type":"stream","text":["------------------------------------------------------\n","Inferred types from first 100 line(s) of file as \n","column_type_hints=[dict]\n","If parsing fails due to incorrect types, you can correct\n","the inferred type list above and pass it to read_csv in\n","the column_type_hints argument\n","------------------------------------------------------\n"],"name":"stdout"},{"output_type":"display_data","data":{"text/html":["<pre>Read 9221 lines. Lines per second: 3162.85</pre>"],"text/plain":["Read 9221 lines. Lines per second: 3162.85"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Read 45233 lines. Lines per second: 5368</pre>"],"text/plain":["Read 45233 lines. Lines per second: 5368"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Read 81028 lines. Lines per second: 5560.8</pre>"],"text/plain":["Read 81028 lines. Lines per second: 5560.8"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Read 116921 lines. Lines per second: 5795.16</pre>"],"text/plain":["Read 116921 lines. Lines per second: 5795.16"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Read 152574 lines. Lines per second: 5888.21</pre>"],"text/plain":["Read 152574 lines. Lines per second: 5888.21"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Finished parsing file /content/drive/My Drive/meta_AMAZON_FASHION.json</pre>"],"text/plain":["Finished parsing file /content/drive/My Drive/meta_AMAZON_FASHION.json"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Parsing completed. Parsed 186627 lines in 29.3405 secs.</pre>"],"text/plain":["Parsing completed. Parsed 186627 lines in 29.3405 secs."]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":432},"id":"I7mAHl6bQ7-x","executionInfo":{"status":"ok","timestamp":1619421533508,"user_tz":-330,"elapsed":111636,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"df9adc9b-b6a7-4337-b3b4-82356e951aa7"},"source":["fashion_meta.remove_columns(['tech1','price','also_buy','rank','also_view','description','feature','image','tech2','category','similar_item','details','main_cat','date','fit'],inplace = True)\n","fashion_meta.rename({'asin':'ProdID'},inplace=True)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\"><table frame=\"box\" rules=\"cols\">\n","    <tr>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">ProdID</th>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">brand</th>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">title</th>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">630456984X</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\"></td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">Dante&#x27;s Peak - Laserdisc</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7106116521</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\"></td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">Milliongadgets(TM)<br>Earring Safety Backs For ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">8037200124</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">Envirosax</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">Envirosax Kids Series<br>Jessie &amp;amp; Lulu ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">8037200221</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">Envirosax</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">Envirosax Greengrocer<br>Series Bag 7 Guava ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">8279996567</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">Gifts by Lulee</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">Blessed by Pope Benedetto<br>XVI Our Lady of Guada ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">9239282785</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">Tideclothes</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">Tideclothes ALAGIRLS<br>Strapless Beading ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">9239281533</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">Tideclothes</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">ALAGIRLS Strapless<br>Beading Homecoming Prom ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">9269808971</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\"></td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">Syma S107C 3channel<br>Coaxial Mini Spy Cam ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">9654263246</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">Roar Carbon</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">X. L. Carbon Fiber Money<br>Clip, made in the USA ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00004T3SN</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">Shimmer Anne Shine</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">Shimmer Anne Shine Clip<br>On Costume/Halloween Cat ...</td>\n","    </tr>\n","</table>\n","[186627 rows x 3 columns]<br/>Note: Only the head of the SFrame is printed.<br/>You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.\n","</div>"],"text/plain":["Columns:\n","\tProdID\tstr\n","\tbrand\tstr\n","\ttitle\tstr\n","\n","Rows: 186627\n","\n","Data:\n","+------------+--------------------+-------------------------------+\n","|   ProdID   |       brand        |             title             |\n","+------------+--------------------+-------------------------------+\n","| 630456984X |                    |    Dante's Peak - Laserdisc   |\n","| 7106116521 |                    | Milliongadgets(TM) Earring... |\n","| 8037200124 |     Envirosax      | Envirosax Kids Series Jess... |\n","| 8037200221 |     Envirosax      | Envirosax Greengrocer Seri... |\n","| 8279996567 |   Gifts by Lulee   | Blessed by Pope Benedetto ... |\n","| 9239282785 |    Tideclothes     | Tideclothes ALAGIRLS Strap... |\n","| 9239281533 |    Tideclothes     | ALAGIRLS Strapless Beading... |\n","| 9269808971 |                    | Syma S107C 3channel Coaxia... |\n","| 9654263246 |    Roar Carbon     | X. L. Carbon Fiber Money C... |\n","| B00004T3SN | Shimmer Anne Shine | Shimmer Anne Shine Clip On... |\n","+------------+--------------------+-------------------------------+\n","[186627 rows x 3 columns]\n","Note: Only the head of the SFrame is printed.\n","You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns."]},"metadata":{"tags":[]},"execution_count":7}]},{"cell_type":"markdown","metadata":{"id":"Twxlar4fQxac"},"source":["#Analyzing the data"]},{"cell_type":"markdown","metadata":{"id":"bWNI_EekeQ0F"},"source":["Rating associate with each Products"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"A3QPeplzeRdU","executionInfo":{"status":"ok","timestamp":1619421534233,"user_tz":-330,"elapsed":111309,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"604aad45-f757-4cc6-8cd7-1372aa05de7c"},"source":["fashion.groupby(key_column_names='ProdID',operations={'mean_rating': tc.aggregate.MEAN('Rating'),'std_rating': tc.aggregate.STD('Rating')})"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\"><table frame=\"box\" rules=\"cols\">\n","    <tr>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">ProdID</th>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">mean_rating</th>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">std_rating</th>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00LVYEEPG</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B0010TJ9FC</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.5</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.5</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00W0Z402M</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5.0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B01CTQJ2ZQ</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">3.0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00ZJD3FTG</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5.0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B015IRGGF2</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1.5</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.5</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B005HBIYIW</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">3.0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B01DVB0TO6</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">3.0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00NTJDUI8</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B017XEPI6G</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.5</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.5000000000000001</td>\n","    </tr>\n","</table>\n","[186189 rows x 3 columns]<br/>Note: Only the head of the SFrame is printed.<br/>You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.\n","</div>"],"text/plain":["Columns:\n","\tProdID\tstr\n","\tmean_rating\tfloat\n","\tstd_rating\tfloat\n","\n","Rows: 186189\n","\n","Data:\n","+------------+-------------+--------------------+\n","|   ProdID   | mean_rating |     std_rating     |\n","+------------+-------------+--------------------+\n","| B00LVYEEPG |     4.0     |        0.0         |\n","| B0010TJ9FC |     4.5     |        0.5         |\n","| B00W0Z402M |     5.0     |        0.0         |\n","| B01CTQJ2ZQ |     3.0     |        2.0         |\n","| B00ZJD3FTG |     5.0     |        0.0         |\n","| B015IRGGF2 |     1.5     |        0.5         |\n","| B005HBIYIW |     3.0     |        0.0         |\n","| B01DVB0TO6 |     3.0     |        2.0         |\n","| B00NTJDUI8 |     4.0     |        0.0         |\n","| B017XEPI6G |     4.5     | 0.5000000000000001 |\n","+------------+-------------+--------------------+\n","[186189 rows x 3 columns]\n","Note: Only the head of the SFrame is printed.\n","You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns."]},"metadata":{"tags":[]},"execution_count":8}]},{"cell_type":"markdown","metadata":{"id":"jPmBL7jkeWSp"},"source":["mean and standard deviation of ratings per user."]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"y8lS_BCleVwx","executionInfo":{"status":"ok","timestamp":1619421536757,"user_tz":-330,"elapsed":113815,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"c346928f-6997-4c22-e36e-46e0485cf35b"},"source":["fashion.groupby(key_column_names='UserID',operations={'mean_rating': tc.aggregate.MEAN('Rating'),'std_rating': tc.aggregate.STD('Rating')})"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\"><table frame=\"box\" rules=\"cols\">\n","    <tr>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">UserID</th>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">mean_rating</th>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">std_rating</th>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A1KTRP6I0YEPF4</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5.0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3FUPR2H79C8RL</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5.0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3A9LY4MT89JIY</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5.0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A1FA177XLVW2YC</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5.0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">AU52XXO3CA4QE</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5.0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A14WRMQHG2V84L</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5.0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A1B9W1YG8PH91L</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">3.0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A2JFIL3PTLSM4B</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5.0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">AKLLJXYE1PNUH</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2.0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.0</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3OS63ZWKSA33Y</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">3.4285714285714284</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1.178030178747903</td>\n","    </tr>\n","</table>\n","[749233 rows x 3 columns]<br/>Note: Only the head of the SFrame is printed.<br/>You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.\n","</div>"],"text/plain":["Columns:\n","\tUserID\tstr\n","\tmean_rating\tfloat\n","\tstd_rating\tfloat\n","\n","Rows: 749233\n","\n","Data:\n","+----------------+--------------------+-------------------+\n","|     UserID     |    mean_rating     |     std_rating    |\n","+----------------+--------------------+-------------------+\n","| A1KTRP6I0YEPF4 |        5.0         |        0.0        |\n","| A3FUPR2H79C8RL |        5.0         |        0.0        |\n","| A3A9LY4MT89JIY |        5.0         |        0.0        |\n","| A1FA177XLVW2YC |        5.0         |        0.0        |\n","| AU52XXO3CA4QE  |        5.0         |        0.0        |\n","| A14WRMQHG2V84L |        5.0         |        0.0        |\n","| A1B9W1YG8PH91L |        3.0         |        0.0        |\n","| A2JFIL3PTLSM4B |        5.0         |        0.0        |\n","| AKLLJXYE1PNUH  |        2.0         |        0.0        |\n","| A3OS63ZWKSA33Y | 3.4285714285714284 | 1.178030178747903 |\n","+----------------+--------------------+-------------------+\n","[749233 rows x 3 columns]\n","Note: Only the head of the SFrame is printed.\n","You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns."]},"metadata":{"tags":[]},"execution_count":9}]},{"cell_type":"markdown","metadata":{"id":"ZR6s4bjIeb68"},"source":["Max rated movie by each User"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3UpFA0MTebKv","executionInfo":{"status":"ok","timestamp":1619421540002,"user_tz":-330,"elapsed":117042,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"aa951f9f-563b-4e2d-d568-72fb8eefacc3"},"source":["fashion.groupby(key_column_names='UserID', operations={('max_rated_movie'): tc.aggregate.ARGMAX('Rating','ProdID')})\n"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\"><table frame=\"box\" rules=\"cols\">\n","    <tr>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">UserID</th>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">max_rated_movie</th>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A1KTRP6I0YEPF4</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00FN90O8G</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3FUPR2H79C8RL</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00M9O0FBE</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3A9LY4MT89JIY</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00XO8RUGC</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A1FA177XLVW2YC</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B01F4RWN9E</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">AU52XXO3CA4QE</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B002FVPQWY</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A14WRMQHG2V84L</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B015BNKNWU</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A1B9W1YG8PH91L</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B01401RV4M</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A2JFIL3PTLSM4B</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00NPORRFE</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">AKLLJXYE1PNUH</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B0183JQHCO</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3OS63ZWKSA33Y</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B009ERSRDM</td>\n","    </tr>\n","</table>\n","[749233 rows x 2 columns]<br/>Note: Only the head of the SFrame is printed.<br/>You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.\n","</div>"],"text/plain":["Columns:\n","\tUserID\tstr\n","\tmax_rated_movie\tstr\n","\n","Rows: 749233\n","\n","Data:\n","+----------------+-----------------+\n","|     UserID     | max_rated_movie |\n","+----------------+-----------------+\n","| A1KTRP6I0YEPF4 |    B00FN90O8G   |\n","| A3FUPR2H79C8RL |    B00M9O0FBE   |\n","| A3A9LY4MT89JIY |    B00XO8RUGC   |\n","| A1FA177XLVW2YC |    B01F4RWN9E   |\n","| AU52XXO3CA4QE  |    B002FVPQWY   |\n","| A14WRMQHG2V84L |    B015BNKNWU   |\n","| A1B9W1YG8PH91L |    B01401RV4M   |\n","| A2JFIL3PTLSM4B |    B00NPORRFE   |\n","| AKLLJXYE1PNUH  |    B0183JQHCO   |\n","| A3OS63ZWKSA33Y |    B009ERSRDM   |\n","+----------------+-----------------+\n","[749233 rows x 2 columns]\n","Note: Only the head of the SFrame is printed.\n","You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns."]},"metadata":{"tags":[]},"execution_count":10}]},{"cell_type":"markdown","metadata":{"id":"jRTGG1WRWR0D"},"source":["#Spilting Dataset"]},{"cell_type":"code","metadata":{"id":"Q2PrfZ_TBqOS"},"source":["train,test = tc.recommender.util.random_split_by_user(fashion,user_id='UserID',item_id='ProdID',random_seed= 8)"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"4xbc0kQNWbLe"},"source":["#Model Training"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"LRLjR53_9cy_","executionInfo":{"status":"ok","timestamp":1619421542929,"user_tz":-330,"elapsed":115889,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"c43326ae-3a89-4298-b391-7d75af172a85"},"source":["Popularity_model = tc.recommender.popularity_recommender.create(train,user_id ='UserID',item_id = 'ProdID',target = 'Rating')"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/html":["<pre>Preparing data set.</pre>"],"text/plain":["Preparing data set."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>    Data has 883378 observations with 749042 users and 186167 items.</pre>"],"text/plain":["    Data has 883378 observations with 749042 users and 186167 items."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>    Data prepared in: 1.90757s</pre>"],"text/plain":["    Data prepared in: 1.90757s"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>883378 observations to process; with 186167 unique items.</pre>"],"text/plain":["883378 observations to process; with 186167 unique items."]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"mMpkPPXA-fvf","executionInfo":{"status":"ok","timestamp":1619421546560,"user_tz":-330,"elapsed":119504,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"86c24f4b-9aee-4b3b-83fe-ca5285b324ac"},"source":["Popularity_model.evaluate(test)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\n","Precision and recall summary statistics by cutoff\n","+--------+----------------+-------------+\n","| cutoff | mean_precision | mean_recall |\n","+--------+----------------+-------------+\n","|   1    |      0.0       |     0.0     |\n","|   2    |      0.0       |     0.0     |\n","|   3    |      0.0       |     0.0     |\n","|   4    |      0.0       |     0.0     |\n","|   5    |      0.0       |     0.0     |\n","|   6    |      0.0       |     0.0     |\n","|   7    |      0.0       |     0.0     |\n","|   8    |      0.0       |     0.0     |\n","|   9    |      0.0       |     0.0     |\n","|   10   |      0.0       |     0.0     |\n","+--------+----------------+-------------+\n","[10 rows x 3 columns]\n","\n","\n","Overall RMSE: 1.2244830901109969\n","\n","Per User RMSE (best)\n","+----------------+------+-------+\n","|     UserID     | rmse | count |\n","+----------------+------+-------+\n","| A1HOVUWG6PI959 | 0.0  |   1   |\n","+----------------+------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per User RMSE (worst)\n","+----------------+--------------------+-------+\n","|     UserID     |        rmse        | count |\n","+----------------+--------------------+-------+\n","| A2IYTUT7X1AI0N | 3.8571428571428568 |   1   |\n","+----------------+--------------------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per Item RMSE (best)\n","+------------+------+-------+\n","|   ProdID   | rmse | count |\n","+------------+------+-------+\n","| B00FW5MMW2 | 0.0  |   1   |\n","+------------+------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per Item RMSE (worst)\n","+------------+--------------------+-------+\n","|   ProdID   |        rmse        | count |\n","+------------+--------------------+-------+\n","| B01DZ4JY2W | 3.8571428571428568 |   1   |\n","+------------+--------------------+-------+\n","[1 rows x 3 columns]\n","\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["{'precision_recall_by_user': Columns:\n"," \tUserID\tstr\n"," \tcutoff\tint\n"," \tprecision\tfloat\n"," \trecall\tfloat\n"," \tcount\tint\n"," \n"," Rows: 4464\n"," \n"," Data:\n"," +---------------+--------+-----------+--------+-------+\n"," |     UserID    | cutoff | precision | recall | count |\n"," +---------------+--------+-----------+--------+-------+\n"," | A17ST44YL27ER |   1    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   2    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   3    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   4    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   5    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   6    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   7    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   8    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   9    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   10   |    0.0    |  0.0   |   1   |\n"," +---------------+--------+-----------+--------+-------+\n"," [4464 rows x 5 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'precision_recall_overall': Columns:\n"," \tcutoff\tint\n"," \tprecision\tfloat\n"," \trecall\tfloat\n"," \n"," Rows: 18\n"," \n"," Data:\n"," +--------+-----------+--------+\n"," | cutoff | precision | recall |\n"," +--------+-----------+--------+\n"," |   1    |    0.0    |  0.0   |\n"," |   2    |    0.0    |  0.0   |\n"," |   3    |    0.0    |  0.0   |\n"," |   4    |    0.0    |  0.0   |\n"," |   5    |    0.0    |  0.0   |\n"," |   6    |    0.0    |  0.0   |\n"," |   7    |    0.0    |  0.0   |\n"," |   8    |    0.0    |  0.0   |\n"," |   9    |    0.0    |  0.0   |\n"," |   10   |    0.0    |  0.0   |\n"," +--------+-----------+--------+\n"," [18 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_by_item': Columns:\n"," \tProdID\tstr\n"," \trmse\tfloat\n"," \tcount\tint\n"," \n"," Rows: 252\n"," \n"," Data:\n"," +------------+---------------------+-------+\n"," |   ProdID   |         rmse        | count |\n"," +------------+---------------------+-------+\n"," | B00LVYEEPG |         0.0         |   1   |\n"," | B013FB9RW2 | 0.44444444444444464 |   1   |\n"," | B00K9JHTZG |         3.0         |   1   |\n"," | B00Z68OJXK |         0.5         |   1   |\n"," | B00NQVXCE6 | 0.29288702928870336 |   1   |\n"," | B00WM5JQ74 |         1.0         |   1   |\n"," | B00K5W6LCE |  0.666666666666667  |   1   |\n"," | B00KXQMKS6 |  0.5309734513274336 |   1   |\n"," | B01FO04LGE |  2.090447358460712  |   2   |\n"," | B00PDC2IWI |         1.6         |   1   |\n"," +------------+---------------------+-------+\n"," [252 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_by_user': Columns:\n"," \tUserID\tstr\n"," \trmse\tfloat\n"," \tcount\tint\n"," \n"," Rows: 248\n"," \n"," Data:\n"," +----------------+----------------------+-------+\n"," |     UserID     |         rmse         | count |\n"," +----------------+----------------------+-------+\n"," | A1O6V2SV0Z6SY0 |         0.0          |   1   |\n"," | AWMUCVT2EI6N9  |  0.833333333333333   |   1   |\n"," | A1Z448S2J1GMZW | 0.040920716112531785 |   1   |\n"," | A2YRF8IA75KYJQ |         2.75         |   1   |\n"," | A3KRV2PPC25YWL |         0.0          |   1   |\n"," | A3FED0M1J8NKZ9 |  1.7666666666666666  |   1   |\n"," | A3KACLHQEBFC8C |  0.7777777777777777  |   1   |\n"," | AN73KT2UO8WLW  |        1.0625        |   1   |\n"," | ALV1D55IYBK3U  |  0.6666666666666665  |   1   |\n"," | A3OV0HUD5MEXW6 |  0.6901072705601905  |   1   |\n"," +----------------+----------------------+-------+\n"," [248 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_overall': 1.2244830901109969}"]},"metadata":{"tags":[]},"execution_count":13}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3TowVBxN7Lxk","executionInfo":{"status":"ok","timestamp":1619421551883,"user_tz":-330,"elapsed":124811,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"abfc3e0b-181e-4c20-df13-3c2e87c6107b"},"source":["Cosine_similarity_model = tc.recommender.item_similarity_recommender.create(train,user_id='UserID', item_id= 'ProdID',target='Rating',similarity_type='cosine')"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/html":["<pre>Preparing data set.</pre>"],"text/plain":["Preparing data set."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>    Data has 883378 observations with 749042 users and 186167 items.</pre>"],"text/plain":["    Data has 883378 observations with 749042 users and 186167 items."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>    Data prepared in: 2.14586s</pre>"],"text/plain":["    Data prepared in: 2.14586s"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Training model from provided data.</pre>"],"text/plain":["Training model from provided data."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Gathering per-item and per-user statistics.</pre>"],"text/plain":["Gathering per-item and per-user statistics."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+--------------------------------+------------+</pre>"],"text/plain":["+--------------------------------+------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| Elapsed Time (Item Statistics) | % Complete |</pre>"],"text/plain":["| Elapsed Time (Item Statistics) | % Complete |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+--------------------------------+------------+</pre>"],"text/plain":["+--------------------------------+------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 9.131ms                        | 0          |</pre>"],"text/plain":["| 9.131ms                        | 0          |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 114.463ms                      | 100        |</pre>"],"text/plain":["| 114.463ms                      | 100        |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+--------------------------------+------------+</pre>"],"text/plain":["+--------------------------------+------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Setting up lookup tables.</pre>"],"text/plain":["Setting up lookup tables."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Processing data in one pass using sparse lookup tables.</pre>"],"text/plain":["Processing data in one pass using sparse lookup tables."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+-------------------------------------+------------------+-----------------+</pre>"],"text/plain":["+-------------------------------------+------------------+-----------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| Elapsed Time (Constructing Lookups) | Total % Complete | Items Processed |</pre>"],"text/plain":["| Elapsed Time (Constructing Lookups) | Total % Complete | Items Processed |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+-------------------------------------+------------------+-----------------+</pre>"],"text/plain":["+-------------------------------------+------------------+-----------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 2.22s                               | 0                | 0               |</pre>"],"text/plain":["| 2.22s                               | 0                | 0               |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 2.40s                               | 100              | 186167          |</pre>"],"text/plain":["| 2.40s                               | 100              | 186167          |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+-------------------------------------+------------------+-----------------+</pre>"],"text/plain":["+-------------------------------------+------------------+-----------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Finalizing lookup tables.</pre>"],"text/plain":["Finalizing lookup tables."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Generating candidate set for working with new users.</pre>"],"text/plain":["Generating candidate set for working with new users."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Finished training in 3.50437s</pre>"],"text/plain":["Finished training in 3.50437s"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"aV8J4fQS8doN","executionInfo":{"status":"ok","timestamp":1619421552640,"user_tz":-330,"elapsed":125552,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"0bb7e226-e491-4477-f6e6-ec99325ee986"},"source":["Cosine_similarity_model.evaluate(test)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\n","Precision and recall summary statistics by cutoff\n","+--------+-----------------------+----------------------+\n","| cutoff |     mean_precision    |     mean_recall      |\n","+--------+-----------------------+----------------------+\n","|   1    |  0.024193548387096774 | 0.024193548387096774 |\n","|   2    |  0.012096774193548387 | 0.024193548387096774 |\n","|   3    |  0.008064516129032258 | 0.024193548387096774 |\n","|   4    |  0.006048387096774193 | 0.024193548387096774 |\n","|   5    |  0.004838709677419355 | 0.024193548387096774 |\n","|   6    |  0.004032258064516129 | 0.024193548387096774 |\n","|   7    | 0.0034562211981566814 | 0.024193548387096774 |\n","|   8    | 0.0030241935483870967 | 0.024193548387096774 |\n","|   9    | 0.0026881720430107525 | 0.024193548387096774 |\n","|   10   | 0.0024193548387096775 | 0.024193548387096774 |\n","+--------+-----------------------+----------------------+\n","[10 rows x 3 columns]\n","\n","\n","Overall RMSE: 4.140294434292468\n","\n","Per User RMSE (best)\n","+----------------+----------------------+-------+\n","|     UserID     |         rmse         | count |\n","+----------------+----------------------+-------+\n","| A1E1WSW52PNACB | 0.004991888999938965 |   1   |\n","+----------------+----------------------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per User RMSE (worst)\n","+---------------+------+-------+\n","|     UserID    | rmse | count |\n","+---------------+------+-------+\n","| AWMUCVT2EI6N9 | 5.0  |   1   |\n","+---------------+------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per Item RMSE (best)\n","+------------+----------------------+-------+\n","|   ProdID   |         rmse         | count |\n","+------------+----------------------+-------+\n","| B000KPIHQ4 | 0.004991888999938965 |   1   |\n","+------------+----------------------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per Item RMSE (worst)\n","+------------+------+-------+\n","|   ProdID   | rmse | count |\n","+------------+------+-------+\n","| B013FB9RW2 | 5.0  |   1   |\n","+------------+------+-------+\n","[1 rows x 3 columns]\n","\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["{'precision_recall_by_user': Columns:\n"," \tUserID\tstr\n"," \tcutoff\tint\n"," \tprecision\tfloat\n"," \trecall\tfloat\n"," \tcount\tint\n"," \n"," Rows: 4464\n"," \n"," Data:\n"," +---------------+--------+---------------------+--------+-------+\n"," |     UserID    | cutoff |      precision      | recall | count |\n"," +---------------+--------+---------------------+--------+-------+\n"," | A17ST44YL27ER |   1    |         1.0         |  1.0   |   1   |\n"," | A17ST44YL27ER |   2    |         0.5         |  1.0   |   1   |\n"," | A17ST44YL27ER |   3    |  0.3333333333333333 |  1.0   |   1   |\n"," | A17ST44YL27ER |   4    |         0.25        |  1.0   |   1   |\n"," | A17ST44YL27ER |   5    |         0.2         |  1.0   |   1   |\n"," | A17ST44YL27ER |   6    | 0.16666666666666666 |  1.0   |   1   |\n"," | A17ST44YL27ER |   7    | 0.14285714285714285 |  1.0   |   1   |\n"," | A17ST44YL27ER |   8    |        0.125        |  1.0   |   1   |\n"," | A17ST44YL27ER |   9    |  0.1111111111111111 |  1.0   |   1   |\n"," | A17ST44YL27ER |   10   |         0.1         |  1.0   |   1   |\n"," +---------------+--------+---------------------+--------+-------+\n"," [4464 rows x 5 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'precision_recall_overall': Columns:\n"," \tcutoff\tint\n"," \tprecision\tfloat\n"," \trecall\tfloat\n"," \n"," Rows: 18\n"," \n"," Data:\n"," +--------+-----------------------+----------------------+\n"," | cutoff |       precision       |        recall        |\n"," +--------+-----------------------+----------------------+\n"," |   1    |  0.024193548387096774 | 0.024193548387096774 |\n"," |   2    |  0.012096774193548387 | 0.024193548387096774 |\n"," |   3    |  0.008064516129032258 | 0.024193548387096767 |\n"," |   4    |  0.006048387096774192 | 0.024193548387096767 |\n"," |   5    |  0.004838709677419355 | 0.024193548387096767 |\n"," |   6    |  0.004032258064516129 | 0.024193548387096767 |\n"," |   7    | 0.0034562211981566822 | 0.02419354838709677  |\n"," |   8    | 0.0030241935483870967 | 0.024193548387096774 |\n"," |   9    |  0.002688172043010753 | 0.02419354838709677  |\n"," |   10   | 0.0024193548387096775 | 0.02419354838709677  |\n"," +--------+-----------------------+----------------------+\n"," [18 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_by_item': Columns:\n"," \tProdID\tstr\n"," \trmse\tfloat\n"," \tcount\tint\n"," \n"," Rows: 252\n"," \n"," Data:\n"," +------------+--------------------+-------+\n"," |   ProdID   |        rmse        | count |\n"," +------------+--------------------+-------+\n"," | B00LVYEEPG |        4.0         |   1   |\n"," | B013FB9RW2 |        5.0         |   1   |\n"," | B00K9JHTZG |        5.0         |   1   |\n"," | B00Z68OJXK |        1.0         |   1   |\n"," | B00NQVXCE6 |        5.0         |   1   |\n"," | B00WM5JQ74 |        4.0         |   1   |\n"," | B00K5W6LCE |        4.0         |   1   |\n"," | B00KXQMKS6 |        2.0         |   1   |\n"," | B01FO04LGE | 2.9154759474226504 |   2   |\n"," | B00PDC2IWI |        2.0         |   1   |\n"," +------------+--------------------+-------+\n"," [252 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_by_user': Columns:\n"," \tUserID\tstr\n"," \trmse\tfloat\n"," \tcount\tint\n"," \n"," Rows: 248\n"," \n"," Data:\n"," +----------------+-------------------+-------+\n"," |     UserID     |        rmse       | count |\n"," +----------------+-------------------+-------+\n"," | A1O6V2SV0Z6SY0 |        4.0        |   1   |\n"," | AWMUCVT2EI6N9  |        5.0        |   1   |\n"," | A1Z448S2J1GMZW | 3.999986869096756 |   1   |\n"," | A2YRF8IA75KYJQ |        5.0        |   1   |\n"," | A3KRV2PPC25YWL |        5.0        |   1   |\n"," | A3FED0M1J8NKZ9 |        2.0        |   1   |\n"," | A3KACLHQEBFC8C |        5.0        |   1   |\n"," | AN73KT2UO8WLW  |        5.0        |   1   |\n"," | ALV1D55IYBK3U  |        3.0        |   1   |\n"," | A3OV0HUD5MEXW6 |        5.0        |   1   |\n"," +----------------+-------------------+-------+\n"," [248 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_overall': 4.140294434292468}"]},"metadata":{"tags":[]},"execution_count":15}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"r4YT0lTH7f9D","executionInfo":{"status":"ok","timestamp":1619421558115,"user_tz":-330,"elapsed":131014,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"693c2a75-3415-494a-9eb4-fc58d3849adc"},"source":["Pearson_model= tc.item_similarity_recommender.create(train,user_id='UserID',item_id = 'ProdID',target='Rating',similarity_type='pearson')"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/html":["<pre>Preparing data set.</pre>"],"text/plain":["Preparing data set."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>    Data has 883378 observations with 749042 users and 186167 items.</pre>"],"text/plain":["    Data has 883378 observations with 749042 users and 186167 items."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>    Data prepared in: 2.32222s</pre>"],"text/plain":["    Data prepared in: 2.32222s"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Training model from provided data.</pre>"],"text/plain":["Training model from provided data."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Gathering per-item and per-user statistics.</pre>"],"text/plain":["Gathering per-item and per-user statistics."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+--------------------------------+------------+</pre>"],"text/plain":["+--------------------------------+------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| Elapsed Time (Item Statistics) | % Complete |</pre>"],"text/plain":["| Elapsed Time (Item Statistics) | % Complete |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+--------------------------------+------------+</pre>"],"text/plain":["+--------------------------------+------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 10.313ms                       | 0          |</pre>"],"text/plain":["| 10.313ms                       | 0          |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 118.233ms                      | 100        |</pre>"],"text/plain":["| 118.233ms                      | 100        |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+--------------------------------+------------+</pre>"],"text/plain":["+--------------------------------+------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Setting up lookup tables.</pre>"],"text/plain":["Setting up lookup tables."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Processing data in one pass using sparse lookup tables.</pre>"],"text/plain":["Processing data in one pass using sparse lookup tables."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+-------------------------------------+------------------+-----------------+</pre>"],"text/plain":["+-------------------------------------+------------------+-----------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| Elapsed Time (Constructing Lookups) | Total % Complete | Items Processed |</pre>"],"text/plain":["| Elapsed Time (Constructing Lookups) | Total % Complete | Items Processed |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+-------------------------------------+------------------+-----------------+</pre>"],"text/plain":["+-------------------------------------+------------------+-----------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 2.54s                               | 0                | 0               |</pre>"],"text/plain":["| 2.54s                               | 0                | 0               |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 2.73s                               | 100              | 186167          |</pre>"],"text/plain":["| 2.73s                               | 100              | 186167          |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+-------------------------------------+------------------+-----------------+</pre>"],"text/plain":["+-------------------------------------+------------------+-----------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Finalizing lookup tables.</pre>"],"text/plain":["Finalizing lookup tables."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Generating candidate set for working with new users.</pre>"],"text/plain":["Generating candidate set for working with new users."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Finished training in 2.84032s</pre>"],"text/plain":["Finished training in 2.84032s"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"o5QlpLW-81J4","executionInfo":{"status":"ok","timestamp":1619421559009,"user_tz":-330,"elapsed":131894,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"7ff43766-17c5-4d79-b4d1-f93093fa89d0"},"source":["Pearson_model.evaluate(test)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\n","Precision and recall summary statistics by cutoff\n","+--------+----------------+-------------+\n","| cutoff | mean_precision | mean_recall |\n","+--------+----------------+-------------+\n","|   1    |      0.0       |     0.0     |\n","|   2    |      0.0       |     0.0     |\n","|   3    |      0.0       |     0.0     |\n","|   4    |      0.0       |     0.0     |\n","|   5    |      0.0       |     0.0     |\n","|   6    |      0.0       |     0.0     |\n","|   7    |      0.0       |     0.0     |\n","|   8    |      0.0       |     0.0     |\n","|   9    |      0.0       |     0.0     |\n","|   10   |      0.0       |     0.0     |\n","+--------+----------------+-------------+\n","[10 rows x 3 columns]\n","\n","\n","Overall RMSE: 1.7146226392963362\n","\n","Per User RMSE (best)\n","+----------------+------+-------+\n","|     UserID     | rmse | count |\n","+----------------+------+-------+\n","| A1HOVUWG6PI959 | 0.0  |   1   |\n","+----------------+------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per User RMSE (worst)\n","+----------------+------+-------+\n","|     UserID     | rmse | count |\n","+----------------+------+-------+\n","| A1UDGS32U1XUAB | 5.0  |   1   |\n","+----------------+------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per Item RMSE (best)\n","+------------+------+-------+\n","|   ProdID   | rmse | count |\n","+------------+------+-------+\n","| B00FW5MMW2 | 0.0  |   1   |\n","+------------+------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per Item RMSE (worst)\n","+------------+------+-------+\n","|   ProdID   | rmse | count |\n","+------------+------+-------+\n","| B00X32KLZ6 | 5.0  |   1   |\n","+------------+------+-------+\n","[1 rows x 3 columns]\n","\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["{'precision_recall_by_user': Columns:\n"," \tUserID\tstr\n"," \tcutoff\tint\n"," \tprecision\tfloat\n"," \trecall\tfloat\n"," \tcount\tint\n"," \n"," Rows: 4464\n"," \n"," Data:\n"," +---------------+--------+-----------+--------+-------+\n"," |     UserID    | cutoff | precision | recall | count |\n"," +---------------+--------+-----------+--------+-------+\n"," | A17ST44YL27ER |   1    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   2    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   3    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   4    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   5    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   6    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   7    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   8    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   9    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   10   |    0.0    |  0.0   |   1   |\n"," +---------------+--------+-----------+--------+-------+\n"," [4464 rows x 5 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'precision_recall_overall': Columns:\n"," \tcutoff\tint\n"," \tprecision\tfloat\n"," \trecall\tfloat\n"," \n"," Rows: 18\n"," \n"," Data:\n"," +--------+-----------+--------+\n"," | cutoff | precision | recall |\n"," +--------+-----------+--------+\n"," |   1    |    0.0    |  0.0   |\n"," |   2    |    0.0    |  0.0   |\n"," |   3    |    0.0    |  0.0   |\n"," |   4    |    0.0    |  0.0   |\n"," |   5    |    0.0    |  0.0   |\n"," |   6    |    0.0    |  0.0   |\n"," |   7    |    0.0    |  0.0   |\n"," |   8    |    0.0    |  0.0   |\n"," |   9    |    0.0    |  0.0   |\n"," |   10   |    0.0    |  0.0   |\n"," +--------+-----------+--------+\n"," [18 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_by_item': Columns:\n"," \tProdID\tstr\n"," \trmse\tfloat\n"," \tcount\tint\n"," \n"," Rows: 252\n"," \n"," Data:\n"," +------------+---------------------+-------+\n"," |   ProdID   |         rmse        | count |\n"," +------------+---------------------+-------+\n"," | B00LVYEEPG |         0.0         |   1   |\n"," | B013FB9RW2 | 0.44444444444444464 |   1   |\n"," | B00K9JHTZG |         3.0         |   1   |\n"," | B00Z68OJXK |         0.5         |   1   |\n"," | B00NQVXCE6 | 0.29288702928870336 |   1   |\n"," | B00WM5JQ74 |         1.0         |   1   |\n"," | B00K5W6LCE |  0.666666666666667  |   1   |\n"," | B00KXQMKS6 |  0.5309274091235316 |   1   |\n"," | B01FO04LGE |  2.090447358460713  |   2   |\n"," | B00PDC2IWI |         1.6         |   1   |\n"," +------------+---------------------+-------+\n"," [252 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_by_user': Columns:\n"," \tUserID\tstr\n"," \trmse\tfloat\n"," \tcount\tint\n"," \n"," Rows: 248\n"," \n"," Data:\n"," +----------------+----------------------+-------+\n"," |     UserID     |         rmse         | count |\n"," +----------------+----------------------+-------+\n"," | A1O6V2SV0Z6SY0 |         0.0          |   1   |\n"," | AWMUCVT2EI6N9  |  0.833333333333333   |   1   |\n"," | A1Z448S2J1GMZW | 0.040920434778604964 |   1   |\n"," | A2YRF8IA75KYJQ |         2.75         |   1   |\n"," | A3KRV2PPC25YWL |         0.0          |   1   |\n"," | A3FED0M1J8NKZ9 |  1.765729585006694   |   1   |\n"," | A3KACLHQEBFC8C |  0.7777777777777768  |   1   |\n"," | AN73KT2UO8WLW  |  1.0624999999999996  |   1   |\n"," | ALV1D55IYBK3U  |  0.6666666666666661  |   1   |\n"," | A3OV0HUD5MEXW6 |  0.6930795441571478  |   1   |\n"," +----------------+----------------------+-------+\n"," [248 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_overall': 1.7146226392963362}"]},"metadata":{"tags":[]},"execution_count":17}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"AQxXlI_w7jNO","executionInfo":{"status":"ok","timestamp":1619421563482,"user_tz":-330,"elapsed":136353,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"d96b653d-c1d4-46d9-9210-d1c917373b40"},"source":["Jaccard_model= tc.item_similarity_recommender.create(train,user_id='UserID',item_id = 'ProdID',target='Rating',similarity_type='jaccard')"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/html":["<pre>Preparing data set.</pre>"],"text/plain":["Preparing data set."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>    Data has 883378 observations with 749042 users and 186167 items.</pre>"],"text/plain":["    Data has 883378 observations with 749042 users and 186167 items."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>    Data prepared in: 2.07972s</pre>"],"text/plain":["    Data prepared in: 2.07972s"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Training model from provided data.</pre>"],"text/plain":["Training model from provided data."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Gathering per-item and per-user statistics.</pre>"],"text/plain":["Gathering per-item and per-user statistics."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+--------------------------------+------------+</pre>"],"text/plain":["+--------------------------------+------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| Elapsed Time (Item Statistics) | % Complete |</pre>"],"text/plain":["| Elapsed Time (Item Statistics) | % Complete |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+--------------------------------+------------+</pre>"],"text/plain":["+--------------------------------+------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 7.583ms                        | 0          |</pre>"],"text/plain":["| 7.583ms                        | 0          |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 116.662ms                      | 100        |</pre>"],"text/plain":["| 116.662ms                      | 100        |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+--------------------------------+------------+</pre>"],"text/plain":["+--------------------------------+------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Setting up lookup tables.</pre>"],"text/plain":["Setting up lookup tables."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Processing data in one pass using sparse lookup tables.</pre>"],"text/plain":["Processing data in one pass using sparse lookup tables."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+-------------------------------------+------------------+-----------------+</pre>"],"text/plain":["+-------------------------------------+------------------+-----------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| Elapsed Time (Constructing Lookups) | Total % Complete | Items Processed |</pre>"],"text/plain":["| Elapsed Time (Constructing Lookups) | Total % Complete | Items Processed |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+-------------------------------------+------------------+-----------------+</pre>"],"text/plain":["+-------------------------------------+------------------+-----------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 2.11s                               | 0                | 0               |</pre>"],"text/plain":["| 2.11s                               | 0                | 0               |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 2.30s                               | 100              | 186167          |</pre>"],"text/plain":["| 2.30s                               | 100              | 186167          |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+-------------------------------------+------------------+-----------------+</pre>"],"text/plain":["+-------------------------------------+------------------+-----------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Finalizing lookup tables.</pre>"],"text/plain":["Finalizing lookup tables."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Generating candidate set for working with new users.</pre>"],"text/plain":["Generating candidate set for working with new users."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Finished training in 2.39978s</pre>"],"text/plain":["Finished training in 2.39978s"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"iLQnLK3J84iI","executionInfo":{"status":"ok","timestamp":1619421564256,"user_tz":-330,"elapsed":137107,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"6764b3ef-fc18-4c98-8c2b-be31bd63e812"},"source":["Jaccard_model.evaluate(test)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\n","Precision and recall summary statistics by cutoff\n","+--------+-----------------------+----------------------+\n","| cutoff |     mean_precision    |     mean_recall      |\n","+--------+-----------------------+----------------------+\n","|   1    |  0.024193548387096774 | 0.024193548387096774 |\n","|   2    |  0.012096774193548387 | 0.024193548387096774 |\n","|   3    |  0.008064516129032258 | 0.024193548387096774 |\n","|   4    |  0.006048387096774193 | 0.024193548387096774 |\n","|   5    |  0.004838709677419355 | 0.024193548387096767 |\n","|   6    |  0.004032258064516129 | 0.024193548387096767 |\n","|   7    | 0.0034562211981566814 | 0.024193548387096763 |\n","|   8    | 0.0030241935483870967 | 0.024193548387096774 |\n","|   9    | 0.0026881720430107516 | 0.024193548387096763 |\n","|   10   | 0.0024193548387096775 | 0.024193548387096763 |\n","+--------+-----------------------+----------------------+\n","[10 rows x 3 columns]\n","\n","\n","Overall RMSE: 4.1733509231355415\n","\n","Per User RMSE (best)\n","+----------------+--------------------+-------+\n","|     UserID     |        rmse        | count |\n","+----------------+--------------------+-------+\n","| A2IAH2HY59QM83 | 0.9999901676177978 |   1   |\n","+----------------+--------------------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per User RMSE (worst)\n","+---------------+------+-------+\n","|     UserID    | rmse | count |\n","+---------------+------+-------+\n","| AWMUCVT2EI6N9 | 5.0  |   1   |\n","+---------------+------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per Item RMSE (best)\n","+------------+--------------------+-------+\n","|   ProdID   |        rmse        | count |\n","+------------+--------------------+-------+\n","| B01B3ZP0J6 | 0.9999901676177978 |   1   |\n","+------------+--------------------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per Item RMSE (worst)\n","+------------+------+-------+\n","|   ProdID   | rmse | count |\n","+------------+------+-------+\n","| B013FB9RW2 | 5.0  |   1   |\n","+------------+------+-------+\n","[1 rows x 3 columns]\n","\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["{'precision_recall_by_user': Columns:\n"," \tUserID\tstr\n"," \tcutoff\tint\n"," \tprecision\tfloat\n"," \trecall\tfloat\n"," \tcount\tint\n"," \n"," Rows: 4464\n"," \n"," Data:\n"," +---------------+--------+---------------------+--------+-------+\n"," |     UserID    | cutoff |      precision      | recall | count |\n"," +---------------+--------+---------------------+--------+-------+\n"," | A17ST44YL27ER |   1    |         1.0         |  1.0   |   1   |\n"," | A17ST44YL27ER |   2    |         0.5         |  1.0   |   1   |\n"," | A17ST44YL27ER |   3    |  0.3333333333333333 |  1.0   |   1   |\n"," | A17ST44YL27ER |   4    |         0.25        |  1.0   |   1   |\n"," | A17ST44YL27ER |   5    |         0.2         |  1.0   |   1   |\n"," | A17ST44YL27ER |   6    | 0.16666666666666666 |  1.0   |   1   |\n"," | A17ST44YL27ER |   7    | 0.14285714285714285 |  1.0   |   1   |\n"," | A17ST44YL27ER |   8    |        0.125        |  1.0   |   1   |\n"," | A17ST44YL27ER |   9    |  0.1111111111111111 |  1.0   |   1   |\n"," | A17ST44YL27ER |   10   |         0.1         |  1.0   |   1   |\n"," +---------------+--------+---------------------+--------+-------+\n"," [4464 rows x 5 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'precision_recall_overall': Columns:\n"," \tcutoff\tint\n"," \tprecision\tfloat\n"," \trecall\tfloat\n"," \n"," Rows: 18\n"," \n"," Data:\n"," +--------+-----------------------+----------------------+\n"," | cutoff |       precision       |        recall        |\n"," +--------+-----------------------+----------------------+\n"," |   1    |  0.02419354838709678  | 0.02419354838709678  |\n"," |   2    |  0.012096774193548387 | 0.024193548387096774 |\n"," |   3    |  0.008064516129032258 | 0.024193548387096767 |\n"," |   4    |  0.006048387096774192 | 0.024193548387096767 |\n"," |   5    |  0.004838709677419355 | 0.024193548387096767 |\n"," |   6    |  0.004032258064516129 | 0.024193548387096767 |\n"," |   7    | 0.0034562211981566814 | 0.024193548387096763 |\n"," |   8    | 0.0030241935483870967 | 0.024193548387096774 |\n"," |   9    | 0.0026881720430107538 | 0.024193548387096774 |\n"," |   10   | 0.0024193548387096775 | 0.024193548387096774 |\n"," +--------+-----------------------+----------------------+\n"," [18 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_by_item': Columns:\n"," \tProdID\tstr\n"," \trmse\tfloat\n"," \tcount\tint\n"," \n"," Rows: 252\n"," \n"," Data:\n"," +------------+--------------------+-------+\n"," |   ProdID   |        rmse        | count |\n"," +------------+--------------------+-------+\n"," | B00LVYEEPG |        4.0         |   1   |\n"," | B013FB9RW2 |        5.0         |   1   |\n"," | B00K9JHTZG |        5.0         |   1   |\n"," | B00Z68OJXK |        1.0         |   1   |\n"," | B00NQVXCE6 |        5.0         |   1   |\n"," | B00WM5JQ74 |        4.0         |   1   |\n"," | B00K5W6LCE |        4.0         |   1   |\n"," | B00KXQMKS6 |        2.0         |   1   |\n"," | B01FO04LGE | 2.9154759474226504 |   2   |\n"," | B00PDC2IWI |        2.0         |   1   |\n"," +------------+--------------------+-------+\n"," [252 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_by_user': Columns:\n"," \tUserID\tstr\n"," \trmse\tfloat\n"," \tcount\tint\n"," \n"," Rows: 248\n"," \n"," Data:\n"," +----------------+--------------------+-------+\n"," |     UserID     |        rmse        | count |\n"," +----------------+--------------------+-------+\n"," | A1O6V2SV0Z6SY0 |        4.0         |   1   |\n"," | AWMUCVT2EI6N9  |        5.0         |   1   |\n"," | A1Z448S2J1GMZW |        4.0         |   1   |\n"," | A2YRF8IA75KYJQ |        5.0         |   1   |\n"," | A3KRV2PPC25YWL |        5.0         |   1   |\n"," | A3FED0M1J8NKZ9 | 1.9998569548130036 |   1   |\n"," | A3KACLHQEBFC8C |        5.0         |   1   |\n"," | AN73KT2UO8WLW  |        5.0         |   1   |\n"," | ALV1D55IYBK3U  |        3.0         |   1   |\n"," | A3OV0HUD5MEXW6 |        5.0         |   1   |\n"," +----------------+--------------------+-------+\n"," [248 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_overall': 4.1733509231355415}"]},"metadata":{"tags":[]},"execution_count":19}]},{"cell_type":"markdown","metadata":{"id":"-tqfiliAW7t5"},"source":["#Training Factorization based models"]},{"cell_type":"markdown","metadata":{"id":"NjAs891rS479"},"source":["The factor terms model interactions between users and items. For example, if a user tends to love romance movies and hate action movies, the factor terms attempt to capture that, causing the model to predict lower scores for action movies and higher scores for romance movies. Learning good weights and factors is controlled by several options outlined below.\n","\n","More formally, when side data is not present, the predicted score for user i on item j is given by\n","\n","                   score(i,j)=μ+wi+wj+aTxi+bTyj+uTivj\n","\n","\n","where μ is a global bias term, wi is the weight term for user i, wj is the weight term for item j, xi and yj are respectively the user and item side feature vectors, and a and b are respectively the weight vectors for those side features. The latent factors, which are vectors of length num_factors, are given by ui and vj.\n","\n","When binary_target=True, the above score is passed through a logistic function:\n","\n","                   score(i,j)=1/(1+exp(−z))\n","\n","where z is the original linear score.\n","\n"]},{"cell_type":"markdown","metadata":{"id":"sz_s2UF0UqGy"},"source":["![image.png](data:image/png;base64,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)"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":918},"id":"NRHTOMHgI2Ad","executionInfo":{"status":"ok","timestamp":1619421603018,"user_tz":-330,"elapsed":174042,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"5180ccdf-f473-4492-fa75-263322d83e9c"},"source":["factorization_recommender_model_sgd = tc.recommender.factorization_recommender.create(train,user_id = 'UserID',item_id = 'ProdID',target= 'Rating',max_iterations=150,\n","                                                          regularization=1e-05,solver = 'sgd',linear_regularization = 1e-05)"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/html":["<pre>Preparing data set.</pre>"],"text/plain":["Preparing data set."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>    Data has 883378 observations with 749042 users and 186167 items.</pre>"],"text/plain":["    Data has 883378 observations with 749042 users and 186167 items."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>    Data prepared in: 2.04083s</pre>"],"text/plain":["    Data prepared in: 2.04083s"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Training factorization_recommender for recommendations.</pre>"],"text/plain":["Training factorization_recommender for recommendations."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+--------------------------------+--------------------------------------------------+----------+</pre>"],"text/plain":["+--------------------------------+--------------------------------------------------+----------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| Parameter                      | Description                                      | Value    |</pre>"],"text/plain":["| Parameter                      | Description                                      | Value    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+--------------------------------+--------------------------------------------------+----------+</pre>"],"text/plain":["+--------------------------------+--------------------------------------------------+----------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| num_factors                    | Factor Dimension                                 | 8        |</pre>"],"text/plain":["| num_factors                    | Factor Dimension                                 | 8        |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| regularization                 | L2 Regularization on Factors                     | 1e-05    |</pre>"],"text/plain":["| regularization                 | L2 Regularization on Factors                     | 1e-05    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| solver                         | Solver used for training                         | sgd      |</pre>"],"text/plain":["| solver                         | Solver used for training                         | sgd      |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| linear_regularization          | L2 Regularization on Linear Coefficients         | 1e-05    |</pre>"],"text/plain":["| linear_regularization          | L2 Regularization on Linear Coefficients         | 1e-05    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| max_iterations                 | Maximum Number of Iterations                     | 150      |</pre>"],"text/plain":["| max_iterations                 | Maximum Number of Iterations                     | 150      |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+--------------------------------+--------------------------------------------------+----------+</pre>"],"text/plain":["+--------------------------------+--------------------------------------------------+----------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>  Optimizing model using SGD; tuning step size.</pre>"],"text/plain":["  Optimizing model using SGD; tuning step size."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>  Using 110422 / 883378 points for tuning the step size.</pre>"],"text/plain":["  Using 110422 / 883378 points for tuning the step size."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+---------+-------------------+------------------------------------------+</pre>"],"text/plain":["+---------+-------------------+------------------------------------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| Attempt | Initial Step Size | Estimated Objective Value                |</pre>"],"text/plain":["| Attempt | Initial Step Size | Estimated Objective Value                |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+---------+-------------------+------------------------------------------+</pre>"],"text/plain":["+---------+-------------------+------------------------------------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 0       | 8.34067           | 0.895493                                 |</pre>"],"text/plain":["| 0       | 8.34067           | 0.895493                                 |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 1       | 4.17034           | 0.910325                                 |</pre>"],"text/plain":["| 1       | 4.17034           | 0.910325                                 |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 2       | 2.08517           | 0.875187                                 |</pre>"],"text/plain":["| 2       | 2.08517           | 0.875187                                 |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 3       | 1.04258           | 0.882723                                 |</pre>"],"text/plain":["| 3       | 1.04258           | 0.882723                                 |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 4       | 0.521292          | 0.908592                                 |</pre>"],"text/plain":["| 4       | 0.521292          | 0.908592                                 |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 5       | 0.260646          | 0.85509                                  |</pre>"],"text/plain":["| 5       | 0.260646          | 0.85509                                  |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 6       | 0.130323          | 0.814629                                 |</pre>"],"text/plain":["| 6       | 0.130323          | 0.814629                                 |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 7       | 0.0651615         | 0.890008                                 |</pre>"],"text/plain":["| 7       | 0.0651615         | 0.890008                                 |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 8       | 0.0325807         | 1.13805                                  |</pre>"],"text/plain":["| 8       | 0.0325807         | 1.13805                                  |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 9       | 0.0162904         | 1.4178                                   |</pre>"],"text/plain":["| 9       | 0.0162904         | 1.4178                                   |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+---------+-------------------+------------------------------------------+</pre>"],"text/plain":["+---------+-------------------+------------------------------------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| Final   | 0.130323          | 0.814629                                 |</pre>"],"text/plain":["| Final   | 0.130323          | 0.814629                                 |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+---------+-------------------+------------------------------------------+</pre>"],"text/plain":["+---------+-------------------+------------------------------------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Starting Optimization.</pre>"],"text/plain":["Starting Optimization."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+---------+--------------+-------------------+-----------------------+-------------+</pre>"],"text/plain":["+---------+--------------+-------------------+-----------------------+-------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| Iter.   | Elapsed Time | Approx. Objective | Approx. Training RMSE | Step Size   |</pre>"],"text/plain":["| Iter.   | Elapsed Time | Approx. Objective | Approx. Training RMSE | Step Size   |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+---------+--------------+-------------------+-----------------------+-------------+</pre>"],"text/plain":["+---------+--------------+-------------------+-----------------------+-------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| Initial | 122us        | 2.01158           | 1.4183                |             |</pre>"],"text/plain":["| Initial | 122us        | 2.01158           | 1.4183                |             |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+---------+--------------+-------------------+-----------------------+-------------+</pre>"],"text/plain":["+---------+--------------+-------------------+-----------------------+-------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 1       | 289.266ms    | 2.76825           | 1.36867               | 0.130323    |</pre>"],"text/plain":["| 1       | 289.266ms    | 2.76825           | 1.36867               | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 2       | 558.438ms    | 2.05063           | 1.11502               | 0.0605803   |</pre>"],"text/plain":["| 2       | 558.438ms    | 2.05063           | 1.11502               | 0.0605803   |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 3       | 814.46ms     | 1.85492           | 1.02992               | 0.039462    |</pre>"],"text/plain":["| 3       | 814.46ms     | 1.85492           | 1.02992               | 0.039462    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 4       | 1.07s        | 1.75187           | 0.986635              | 0.0280691   |</pre>"],"text/plain":["| 4       | 1.07s        | 1.75187           | 0.986635              | 0.0280691   |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 5       | 1.33s        | 1.69636           | 0.959739              | 0.022492    |</pre>"],"text/plain":["| 5       | 1.33s        | 1.69636           | 0.959739              | 0.022492    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 10      | 2.61s        | 1.60867           | 0.909827              | 0.011283    |</pre>"],"text/plain":["| 10      | 2.61s        | 1.60867           | 0.909827              | 0.011283    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 25      | 6.37s        | 1.56376           | 0.874748              | 0.00452211  |</pre>"],"text/plain":["| 25      | 6.37s        | 1.56376           | 0.874748              | 0.00452211  |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 50      | 12.69s       | 1.55075           | 0.858695              | 0.00223114  |</pre>"],"text/plain":["| 50      | 12.69s       | 1.55075           | 0.858695              | 0.00223114  |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 75      | 19.02s       | 1.54362           | 0.850689              | 0.000639197 |</pre>"],"text/plain":["| 75      | 19.02s       | 1.54362           | 0.850689              | 0.000639197 |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 100     | 25.33s       | 1.54128           | 0.848615              | 9.1066e-05  |</pre>"],"text/plain":["| 100     | 25.33s       | 1.54128           | 0.848615              | 9.1066e-05  |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 109     | 27.61s       | 1.54123           | 0.848531              | 8.53662e-05 |</pre>"],"text/plain":["| 109     | 27.61s       | 1.54123           | 0.848531              | 8.53662e-05 |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+---------+--------------+-------------------+-----------------------+-------------+</pre>"],"text/plain":["+---------+--------------+-------------------+-----------------------+-------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Optimization Complete: Convergence on objective within bounds.</pre>"],"text/plain":["Optimization Complete: Convergence on objective within bounds."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Computing final objective value and training RMSE.</pre>"],"text/plain":["Computing final objective value and training RMSE."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>       Final objective value: 1.54153</pre>"],"text/plain":["       Final objective value: 1.54153"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>       Final training RMSE: 0.848708</pre>"],"text/plain":["       Final training RMSE: 0.848708"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"omHvcnxqI_QZ","executionInfo":{"status":"ok","timestamp":1619421604433,"user_tz":-330,"elapsed":175440,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"7aa18bd8-f079-4441-8cb4-a26fbd44f93a"},"source":["factorization_recommender_model_sgd.evaluate(test)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\n","Precision and recall summary statistics by cutoff\n","+--------+-----------------------+----------------------+\n","| cutoff |     mean_precision    |     mean_recall      |\n","+--------+-----------------------+----------------------+\n","|   1    |          0.0          |         0.0          |\n","|   2    |  0.004032258064516129 | 0.008064516129032258 |\n","|   3    | 0.0026881720430107525 | 0.00806451612903226  |\n","|   4    |  0.002016129032258065 | 0.00806451612903226  |\n","|   5    |  0.002419354838709678 | 0.012096774193548392 |\n","|   6    | 0.0020161290322580645 | 0.012096774193548392 |\n","|   7    | 0.0017281105990783407 | 0.012096774193548392 |\n","|   8    | 0.0015120967741935488 | 0.01209677419354839  |\n","|   9    | 0.0013440860215053762 | 0.012096774193548392 |\n","|   10   | 0.0012096774193548388 | 0.012096774193548392 |\n","+--------+-----------------------+----------------------+\n","[10 rows x 3 columns]\n","\n","\n","Overall RMSE: 1.2181200904796254\n","\n","Per User RMSE (best)\n","+----------------+---------------------+-------+\n","|     UserID     |         rmse        | count |\n","+----------------+---------------------+-------+\n","| A39X63ZD7TGBCS | 0.00543949298378088 |   1   |\n","+----------------+---------------------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per User RMSE (worst)\n","+----------------+--------------------+-------+\n","|     UserID     |        rmse        | count |\n","+----------------+--------------------+-------+\n","| A2781NMCXB2PYH | 3.9344889101404323 |   1   |\n","+----------------+--------------------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per Item RMSE (best)\n","+------------+---------------------+-------+\n","|   ProdID   |         rmse        | count |\n","+------------+---------------------+-------+\n","| B00VBFQN2M | 0.01474861137751482 |   1   |\n","+------------+---------------------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per Item RMSE (worst)\n","+------------+--------------------+-------+\n","|   ProdID   |        rmse        | count |\n","+------------+--------------------+-------+\n","| B01DZ4JY2W | 3.4303510420787706 |   1   |\n","+------------+--------------------+-------+\n","[1 rows x 3 columns]\n","\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["{'precision_recall_by_user': Columns:\n"," \tUserID\tstr\n"," \tcutoff\tint\n"," \tprecision\tfloat\n"," \trecall\tfloat\n"," \tcount\tint\n"," \n"," Rows: 4464\n"," \n"," Data:\n"," +---------------+--------+-----------+--------+-------+\n"," |     UserID    | cutoff | precision | recall | count |\n"," +---------------+--------+-----------+--------+-------+\n"," | A17ST44YL27ER |   1    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   2    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   3    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   4    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   5    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   6    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   7    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   8    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   9    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   10   |    0.0    |  0.0   |   1   |\n"," +---------------+--------+-----------+--------+-------+\n"," [4464 rows x 5 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'precision_recall_overall': Columns:\n"," \tcutoff\tint\n"," \tprecision\tfloat\n"," \trecall\tfloat\n"," \n"," Rows: 18\n"," \n"," Data:\n"," +--------+-----------------------+----------------------+\n"," | cutoff |       precision       |        recall        |\n"," +--------+-----------------------+----------------------+\n"," |   1    |          0.0          |         0.0          |\n"," |   2    |  0.004032258064516129 | 0.008064516129032258 |\n"," |   3    | 0.0026881720430107525 | 0.00806451612903226  |\n"," |   4    |  0.002016129032258065 | 0.00806451612903226  |\n"," |   5    | 0.0024193548387096775 | 0.012096774193548392 |\n"," |   6    | 0.0020161290322580645 | 0.012096774193548392 |\n"," |   7    | 0.0017281105990783407 | 0.012096774193548392 |\n"," |   8    | 0.0015120967741935488 | 0.01209677419354839  |\n"," |   9    | 0.0013440860215053762 | 0.012096774193548392 |\n"," |   10   |  0.001209677419354839 | 0.012096774193548392 |\n"," +--------+-----------------------+----------------------+\n"," [18 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_by_item': Columns:\n"," \tProdID\tstr\n"," \trmse\tfloat\n"," \tcount\tint\n"," \n"," Rows: 252\n"," \n"," Data:\n"," +------------+---------------------+-------+\n"," |   ProdID   |         rmse        | count |\n"," +------------+---------------------+-------+\n"," | B00LVYEEPG | 0.12647225998159506 |   1   |\n"," | B013FB9RW2 |  0.6859513587486372 |   1   |\n"," | B00K9JHTZG |  1.8074071175586806 |   1   |\n"," | B00Z68OJXK |  1.903931760119237  |   1   |\n"," | B00NQVXCE6 | 0.33544335432168104 |   1   |\n"," | B00WM5JQ74 | 0.07815898291949175 |   1   |\n"," | B00K5W6LCE |  0.4854322307575121 |   1   |\n"," | B00KXQMKS6 |  0.6506502860057726 |   1   |\n"," | B01FO04LGE |  2.074823747782444  |   2   |\n"," | B00PDC2IWI |  1.7340225213039293 |   1   |\n"," +------------+---------------------+-------+\n"," [252 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_by_user': Columns:\n"," \tUserID\tstr\n"," \trmse\tfloat\n"," \tcount\tint\n"," \n"," Rows: 248\n"," \n"," Data:\n"," +----------------+---------------------+-------+\n"," |     UserID     |         rmse        | count |\n"," +----------------+---------------------+-------+\n"," | A1O6V2SV0Z6SY0 | 0.07847462791766979 |   1   |\n"," | AWMUCVT2EI6N9  |  1.2745206385087595 |   1   |\n"," | A1Z448S2J1GMZW | 0.05209253065470598 |   1   |\n"," | A2YRF8IA75KYJQ |  1.7981223828327284 |   1   |\n"," | A3KRV2PPC25YWL |  0.7505345559848795 |   1   |\n"," | A3FED0M1J8NKZ9 |  1.7713082813489809 |   1   |\n"," | A3KACLHQEBFC8C |  0.8530970505297191 |   1   |\n"," | AN73KT2UO8WLW  |  1.0788506084289775 |   1   |\n"," | ALV1D55IYBK3U  |  0.7389272832143678 |   1   |\n"," | A3OV0HUD5MEXW6 |  0.7099831468593703 |   1   |\n"," +----------------+---------------------+-------+\n"," [248 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_overall': 1.2181200904796254}"]},"metadata":{"tags":[]},"execution_count":21}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"p4oF16kyClaE","executionInfo":{"status":"ok","timestamp":1619421694211,"user_tz":-330,"elapsed":265202,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"f13c8dcb-6b6f-4486-cfd8-64d530015106"},"source":["factorization_recommender_model_adagrad = tc.recommender.factorization_recommender.create(train,user_id = 'UserID',item_id = 'ProdID',target= 'Rating',max_iterations=200,\n","                                                          regularization=1e-05,solver = 'adagrad',linear_regularization = 1e-05)"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/html":["<pre>Preparing data set.</pre>"],"text/plain":["Preparing data set."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>    Data has 883378 observations with 749042 users and 186167 items.</pre>"],"text/plain":["    Data has 883378 observations with 749042 users and 186167 items."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>    Data prepared in: 2.01932s</pre>"],"text/plain":["    Data prepared in: 2.01932s"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Training factorization_recommender for recommendations.</pre>"],"text/plain":["Training factorization_recommender for recommendations."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+--------------------------------+--------------------------------------------------+----------+</pre>"],"text/plain":["+--------------------------------+--------------------------------------------------+----------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| Parameter                      | Description                                      | Value    |</pre>"],"text/plain":["| Parameter                      | Description                                      | Value    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+--------------------------------+--------------------------------------------------+----------+</pre>"],"text/plain":["+--------------------------------+--------------------------------------------------+----------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| num_factors                    | Factor Dimension                                 | 8        |</pre>"],"text/plain":["| num_factors                    | Factor Dimension                                 | 8        |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| regularization                 | L2 Regularization on Factors                     | 1e-05    |</pre>"],"text/plain":["| regularization                 | L2 Regularization on Factors                     | 1e-05    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| solver                         | Solver used for training                         | adagrad  |</pre>"],"text/plain":["| solver                         | Solver used for training                         | adagrad  |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| linear_regularization          | L2 Regularization on Linear Coefficients         | 1e-05    |</pre>"],"text/plain":["| linear_regularization          | L2 Regularization on Linear Coefficients         | 1e-05    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| max_iterations                 | Maximum Number of Iterations                     | 200      |</pre>"],"text/plain":["| max_iterations                 | Maximum Number of Iterations                     | 200      |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+--------------------------------+--------------------------------------------------+----------+</pre>"],"text/plain":["+--------------------------------+--------------------------------------------------+----------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>  Optimizing model using SGD; tuning step size.</pre>"],"text/plain":["  Optimizing model using SGD; tuning step size."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>  Using 110422 / 883378 points for tuning the step size.</pre>"],"text/plain":["  Using 110422 / 883378 points for tuning the step size."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+---------+-------------------+------------------------------------------+</pre>"],"text/plain":["+---------+-------------------+------------------------------------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| Attempt | Initial Step Size | Estimated Objective Value                |</pre>"],"text/plain":["| Attempt | Initial Step Size | Estimated Objective Value                |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+---------+-------------------+------------------------------------------+</pre>"],"text/plain":["+---------+-------------------+------------------------------------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 0       | 8.34067           | No Decrease (3.08238 >= 2.00247)         |</pre>"],"text/plain":["| 0       | 8.34067           | No Decrease (3.08238 >= 2.00247)         |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 1       | 2.08517           | No Decrease (2.81617 >= 2.00247)         |</pre>"],"text/plain":["| 1       | 2.08517           | No Decrease (2.81617 >= 2.00247)         |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 2       | 0.521292          | 1.44414                                  |</pre>"],"text/plain":["| 2       | 0.521292          | 1.44414                                  |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 3       | 0.260646          | 1.29761                                  |</pre>"],"text/plain":["| 3       | 0.260646          | 1.29761                                  |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 4       | 0.130323          | 1.15412                                  |</pre>"],"text/plain":["| 4       | 0.130323          | 1.15412                                  |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 5       | 0.0651615         | 1.15422                                  |</pre>"],"text/plain":["| 5       | 0.0651615         | 1.15422                                  |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 6       | 0.0325807         | 1.37907                                  |</pre>"],"text/plain":["| 6       | 0.0325807         | 1.37907                                  |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 7       | 0.0162904         | 1.65477                                  |</pre>"],"text/plain":["| 7       | 0.0162904         | 1.65477                                  |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+---------+-------------------+------------------------------------------+</pre>"],"text/plain":["+---------+-------------------+------------------------------------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| Final   | 0.130323          | 1.15412                                  |</pre>"],"text/plain":["| Final   | 0.130323          | 1.15412                                  |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+---------+-------------------+------------------------------------------+</pre>"],"text/plain":["+---------+-------------------+------------------------------------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Starting Optimization.</pre>"],"text/plain":["Starting Optimization."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+---------+--------------+-------------------+-----------------------+-------------+</pre>"],"text/plain":["+---------+--------------+-------------------+-----------------------+-------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| Iter.   | Elapsed Time | Approx. Objective | Approx. Training RMSE | Step Size   |</pre>"],"text/plain":["| Iter.   | Elapsed Time | Approx. Objective | Approx. Training RMSE | Step Size   |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+---------+--------------+-------------------+-----------------------+-------------+</pre>"],"text/plain":["+---------+--------------+-------------------+-----------------------+-------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| Initial | 124us        | 2.01158           | 1.4183                |             |</pre>"],"text/plain":["| Initial | 124us        | 2.01158           | 1.4183                |             |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+---------+--------------+-------------------+-----------------------+-------------+</pre>"],"text/plain":["+---------+--------------+-------------------+-----------------------+-------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 1       | 418.041ms    | 2.4649            | 1.35596               | 0.130323    |</pre>"],"text/plain":["| 1       | 418.041ms    | 2.4649            | 1.35596               | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 2       | 826.563ms    | 2.09818           | 1.21186               | 0.130323    |</pre>"],"text/plain":["| 2       | 826.563ms    | 2.09818           | 1.21186               | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 3       | 1.22s        | 2.00358           | 1.10636               | 0.130323    |</pre>"],"text/plain":["| 3       | 1.22s        | 2.00358           | 1.10636               | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 4       | 1.61s        | 1.91871           | 1.02633               | 0.130323    |</pre>"],"text/plain":["| 4       | 1.61s        | 1.91871           | 1.02633               | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 5       | 2.01s        | 1.88637           | 0.980804              | 0.130323    |</pre>"],"text/plain":["| 5       | 2.01s        | 1.88637           | 0.980804              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 10      | 3.95s        | 1.77489           | 0.901242              | 0.130323    |</pre>"],"text/plain":["| 10      | 3.95s        | 1.77489           | 0.901242              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 20      | 7.86s        | 1.67598           | 0.876665              | 0.130323    |</pre>"],"text/plain":["| 20      | 7.86s        | 1.67598           | 0.876665              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 30      | 11.75s       | 1.63583           | 0.86204               | 0.130323    |</pre>"],"text/plain":["| 30      | 11.75s       | 1.63583           | 0.86204               | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 40      | 15.72s       | 1.62041           | 0.85266               | 0.130323    |</pre>"],"text/plain":["| 40      | 15.72s       | 1.62041           | 0.85266               | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 50      | 19.65s       | 1.6184            | 0.846074              | 0.130323    |</pre>"],"text/plain":["| 50      | 19.65s       | 1.6184            | 0.846074              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 60      | 23.57s       | 1.61447           | 0.83913               | 0.130323    |</pre>"],"text/plain":["| 60      | 23.57s       | 1.61447           | 0.83913               | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 70      | 27.55s       | 1.61166           | 0.833554              | 0.130323    |</pre>"],"text/plain":["| 70      | 27.55s       | 1.61166           | 0.833554              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 80      | 31.59s       | 1.61251           | 0.830253              | 0.130323    |</pre>"],"text/plain":["| 80      | 31.59s       | 1.61251           | 0.830253              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 90      | 35.57s       | 1.60979           | 0.825669              | 0.130323    |</pre>"],"text/plain":["| 90      | 35.57s       | 1.60979           | 0.825669              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 100     | 39.54s       | 1.60764           | 0.822562              | 0.130323    |</pre>"],"text/plain":["| 100     | 39.54s       | 1.60764           | 0.822562              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 110     | 43.53s       | 1.61136           | 0.821196              | 0.130323    |</pre>"],"text/plain":["| 110     | 43.53s       | 1.61136           | 0.821196              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 120     | 47.46s       | 1.60619           | 0.818004              | 0.130323    |</pre>"],"text/plain":["| 120     | 47.46s       | 1.60619           | 0.818004              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 130     | 51.41s       | 1.60653           | 0.817035              | 0.130323    |</pre>"],"text/plain":["| 130     | 51.41s       | 1.60653           | 0.817035              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 140     | 55.37s       | 1.60755           | 0.815112              | 0.130323    |</pre>"],"text/plain":["| 140     | 55.37s       | 1.60755           | 0.815112              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 150     | 59.34s       | 1.60916           | 0.813977              | 0.130323    |</pre>"],"text/plain":["| 150     | 59.34s       | 1.60916           | 0.813977              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 160     | 1m 3s        | 1.60832           | 0.812997              | 0.130323    |</pre>"],"text/plain":["| 160     | 1m 3s        | 1.60832           | 0.812997              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 170     | 1m 7s        | 1.60775           | 0.811355              | 0.130323    |</pre>"],"text/plain":["| 170     | 1m 7s        | 1.60775           | 0.811355              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 180     | 1m 11s       | 1.60974           | 0.810904              | 0.130323    |</pre>"],"text/plain":["| 180     | 1m 11s       | 1.60974           | 0.810904              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 190     | 1m 15s       | 1.60854           | 0.809118              | 0.130323    |</pre>"],"text/plain":["| 190     | 1m 15s       | 1.60854           | 0.809118              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>| 200     | 1m 19s       | 1.60899           | 0.809192              | 0.130323    |</pre>"],"text/plain":["| 200     | 1m 19s       | 1.60899           | 0.809192              | 0.130323    |"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>+---------+--------------+-------------------+-----------------------+-------------+</pre>"],"text/plain":["+---------+--------------+-------------------+-----------------------+-------------+"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Optimization Complete: Maximum number of passes through the data reached.</pre>"],"text/plain":["Optimization Complete: Maximum number of passes through the data reached."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>Computing final objective value and training RMSE.</pre>"],"text/plain":["Computing final objective value and training RMSE."]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>       Final objective value: 1.66571</pre>"],"text/plain":["       Final objective value: 1.66571"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<pre>       Final training RMSE: 0.843513</pre>"],"text/plain":["       Final training RMSE: 0.843513"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Ail7RkNON-rb","executionInfo":{"status":"ok","timestamp":1619421695672,"user_tz":-330,"elapsed":266649,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"5d3cc58b-0403-4b66-cc1f-6b26ae3d1df0"},"source":["factorization_recommender_model_adagrad.evaluate(test)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\n","Precision and recall summary statistics by cutoff\n","+--------+-----------------------+----------------------+\n","| cutoff |     mean_precision    |     mean_recall      |\n","+--------+-----------------------+----------------------+\n","|   1    |  0.00403225806451613  | 0.00403225806451613  |\n","|   2    |  0.008064516129032258 | 0.016129032258064516 |\n","|   3    |  0.005376344086021505 | 0.01612903225806452  |\n","|   4    |  0.00403225806451613  | 0.01612903225806452  |\n","|   5    | 0.0032258064516129032 | 0.01612903225806452  |\n","|   6    | 0.0026881720430107525 | 0.01612903225806452  |\n","|   7    |  0.002304147465437788 | 0.01612903225806452  |\n","|   8    |  0.002016129032258065 | 0.01612903225806452  |\n","|   9    | 0.0017921146953405018 | 0.01612903225806452  |\n","|   10   | 0.0016129032258064516 | 0.01612903225806452  |\n","+--------+-----------------------+----------------------+\n","[10 rows x 3 columns]\n","\n","\n","Overall RMSE: 1.2191286949013065\n","\n","Per User RMSE (best)\n","+----------------+----------------------+-------+\n","|     UserID     |         rmse         | count |\n","+----------------+----------------------+-------+\n","| A3EY7GFRFQNPM5 | 0.007985536830521056 |   1   |\n","+----------------+----------------------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per User RMSE (worst)\n","+----------------+------------------+-------+\n","|     UserID     |       rmse       | count |\n","+----------------+------------------+-------+\n","| A2781NMCXB2PYH | 3.91144506901691 |   1   |\n","+----------------+------------------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per Item RMSE (best)\n","+------------+----------------------+-------+\n","|   ProdID   |         rmse         | count |\n","+------------+----------------------+-------+\n","| B000V0IBDM | 0.007985536830521056 |   1   |\n","+------------+----------------------+-------+\n","[1 rows x 3 columns]\n","\n","\n","Per Item RMSE (worst)\n","+------------+--------------------+-------+\n","|   ProdID   |        rmse        | count |\n","+------------+--------------------+-------+\n","| B01DZ4JY2W | 3.4303987853992943 |   1   |\n","+------------+--------------------+-------+\n","[1 rows x 3 columns]\n","\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["{'precision_recall_by_user': Columns:\n"," \tUserID\tstr\n"," \tcutoff\tint\n"," \tprecision\tfloat\n"," \trecall\tfloat\n"," \tcount\tint\n"," \n"," Rows: 4464\n"," \n"," Data:\n"," +---------------+--------+-----------+--------+-------+\n"," |     UserID    | cutoff | precision | recall | count |\n"," +---------------+--------+-----------+--------+-------+\n"," | A17ST44YL27ER |   1    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   2    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   3    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   4    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   5    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   6    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   7    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   8    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   9    |    0.0    |  0.0   |   1   |\n"," | A17ST44YL27ER |   10   |    0.0    |  0.0   |   1   |\n"," +---------------+--------+-----------+--------+-------+\n"," [4464 rows x 5 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'precision_recall_overall': Columns:\n"," \tcutoff\tint\n"," \tprecision\tfloat\n"," \trecall\tfloat\n"," \n"," Rows: 18\n"," \n"," Data:\n"," +--------+-----------------------+----------------------+\n"," | cutoff |       precision       |        recall        |\n"," +--------+-----------------------+----------------------+\n"," |   1    |  0.00403225806451613  | 0.00403225806451613  |\n"," |   2    |  0.008064516129032258 | 0.016129032258064516 |\n"," |   3    |  0.005376344086021505 | 0.01612903225806452  |\n"," |   4    |  0.00403225806451613  | 0.01612903225806452  |\n"," |   5    | 0.0032258064516129032 | 0.01612903225806452  |\n"," |   6    | 0.0026881720430107525 | 0.01612903225806452  |\n"," |   7    |  0.002304147465437788 | 0.01612903225806452  |\n"," |   8    | 0.0020161290322580658 | 0.016129032258064526 |\n"," |   9    | 0.0017921146953405007 | 0.01612903225806452  |\n"," |   10   | 0.0016129032258064516 | 0.01612903225806452  |\n"," +--------+-----------------------+----------------------+\n"," [18 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_by_item': Columns:\n"," \tProdID\tstr\n"," \trmse\tfloat\n"," \tcount\tint\n"," \n"," Rows: 252\n"," \n"," Data:\n"," +------------+---------------------+-------+\n"," |   ProdID   |         rmse        | count |\n"," +------------+---------------------+-------+\n"," | B00LVYEEPG | 0.12043714999964195 |   1   |\n"," | B013FB9RW2 |  0.6960809297095771 |   1   |\n"," | B00K9JHTZG |  1.7509026891719337 |   1   |\n"," | B00Z68OJXK |  1.9627548687923912 |   1   |\n"," | B00NQVXCE6 |  0.3769976861011024 |   1   |\n"," | B00WM5JQ74 | 0.07914876274952931 |   1   |\n"," | B00K5W6LCE | 0.47021588020215077 |   1   |\n"," | B00KXQMKS6 |  0.7492182486523156 |   1   |\n"," | B01FO04LGE |  2.0530710854939325 |   2   |\n"," | B00PDC2IWI |  1.7403205566872124 |   1   |\n"," +------------+---------------------+-------+\n"," [252 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_by_user': Columns:\n"," \tUserID\tstr\n"," \trmse\tfloat\n"," \tcount\tint\n"," \n"," Rows: 248\n"," \n"," Data:\n"," +----------------+----------------------+-------+\n"," |     UserID     |         rmse         | count |\n"," +----------------+----------------------+-------+\n"," | A1O6V2SV0Z6SY0 | 0.07826843030562358  |   1   |\n"," | AWMUCVT2EI6N9  |  1.2434201008807655  |   1   |\n"," | A1Z448S2J1GMZW | 0.022134483682012984 |   1   |\n"," | A2YRF8IA75KYJQ |  1.7399864561091896  |   1   |\n"," | A3KRV2PPC25YWL |  0.7482490605842109  |   1   |\n"," | A3FED0M1J8NKZ9 |  1.7320722573269371  |   1   |\n"," | A3KACLHQEBFC8C |  0.8979009390975952  |   1   |\n"," | AN73KT2UO8WLW  |  1.120266263483071   |   1   |\n"," | ALV1D55IYBK3U  |  0.7447154604662423  |   1   |\n"," | A3OV0HUD5MEXW6 |  0.7556640870105262  |   1   |\n"," +----------------+----------------------+-------+\n"," [248 rows x 3 columns]\n"," Note: Only the head of the SFrame is printed.\n"," You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.,\n"," 'rmse_overall': 1.2191286949013065}"]},"metadata":{"tags":[]},"execution_count":23}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":245},"id":"Y_cQtt1RNxua","executionInfo":{"status":"ok","timestamp":1619421695677,"user_tz":-330,"elapsed":266638,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"5bc40f2c-097b-4816-c83d-000154bd2d9d"},"source":["factorization_recommender_model_adagrad.recommend([test['UserID'][100]])"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\"><table frame=\"box\" rules=\"cols\">\n","    <tr>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">UserID</th>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">ProdID</th>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">score</th>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">rank</th>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3FED0M1J8NKZ9</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B013SLWJJW</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.92935564451108</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3FED0M1J8NKZ9</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B0148B7EJ6</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.866838239954806</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3FED0M1J8NKZ9</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00STV1K9W</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.822460912989474</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">3</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3FED0M1J8NKZ9</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B014EB2ADA</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.822077357100344</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3FED0M1J8NKZ9</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B018RMQV2S</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.818664156721926</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3FED0M1J8NKZ9</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B005F0IBCO</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.8168168299664025</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">6</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3FED0M1J8NKZ9</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00U02CTZM</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.811502301024294</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3FED0M1J8NKZ9</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B0006HB4XE</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.8103407257069115</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">8</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3FED0M1J8NKZ9</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00123KGXU</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.804353319929934</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">9</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3FED0M1J8NKZ9</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00M21O9L6</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.802634977625704</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">10</td>\n","    </tr>\n","</table>\n","[10 rows x 4 columns]<br/>\n","</div>"],"text/plain":["Columns:\n","\tUserID\tstr\n","\tProdID\tstr\n","\tscore\tfloat\n","\trank\tint\n","\n","Rows: 10\n","\n","Data:\n","+----------------+------------+--------------------+------+\n","|     UserID     |   ProdID   |       score        | rank |\n","+----------------+------------+--------------------+------+\n","| A3FED0M1J8NKZ9 | B013SLWJJW |  4.92935564451108  |  1   |\n","| A3FED0M1J8NKZ9 | B0148B7EJ6 | 4.866838239954806  |  2   |\n","| A3FED0M1J8NKZ9 | B00STV1K9W | 4.822460912989474  |  3   |\n","| A3FED0M1J8NKZ9 | B014EB2ADA | 4.822077357100344  |  4   |\n","| A3FED0M1J8NKZ9 | B018RMQV2S | 4.818664156721926  |  5   |\n","| A3FED0M1J8NKZ9 | B005F0IBCO | 4.8168168299664025 |  6   |\n","| A3FED0M1J8NKZ9 | B00U02CTZM | 4.811502301024294  |  7   |\n","| A3FED0M1J8NKZ9 | B0006HB4XE | 4.8103407257069115 |  8   |\n","| A3FED0M1J8NKZ9 | B00123KGXU | 4.804353319929934  |  9   |\n","| A3FED0M1J8NKZ9 | B00M21O9L6 | 4.802634977625704  |  10  |\n","+----------------+------------+--------------------+------+\n","[10 rows x 4 columns]"]},"metadata":{"tags":[]},"execution_count":24}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"dw4L9c48RD7z","executionInfo":{"status":"ok","timestamp":1619421695680,"user_tz":-330,"elapsed":266624,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"bfe16960-3688-4a31-d1fc-580089c5f57a"},"source":["list(factorization_recommender_model_adagrad.recommend([test['UserID'][100]])['ProdID'])"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["['B013SLWJJW',\n"," 'B0148B7EJ6',\n"," 'B00STV1K9W',\n"," 'B014EB2ADA',\n"," 'B018RMQV2S',\n"," 'B005F0IBCO',\n"," 'B00U02CTZM',\n"," 'B0006HB4XE',\n"," 'B00123KGXU',\n"," 'B00M21O9L6']"]},"metadata":{"tags":[]},"execution_count":25}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":449},"id":"1SC5GbjYenWM","executionInfo":{"status":"ok","timestamp":1619421695682,"user_tz":-330,"elapsed":266611,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"3f300a55-8120-47a0-e9ba-6c6856c066a1"},"source":["factorization_recommender_model_adagrad.coefficients['UserID']"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\"><table frame=\"box\" rules=\"cols\">\n","    <tr>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">UserID</th>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">linear_terms</th>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">factors</th>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A1D4G1SNUZWQOT</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.1986227035522461</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[0.060564953833818436,<br>-0.05015077441930771, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A3DDWDH9PX2YX2</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-0.11359886825084686</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[-0.10572709888219833,<br>0.08819446712732315, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A2MWC41EW7XL15</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.03128080070018768</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[0.009506972506642342,<br>-0.007834040559828281, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A2UH2QQ275NV45</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-0.2996751666069031</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[-0.09011372923851013,<br>0.07516402006149292, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A89F3LQADZBS5</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-0.13726596534252167</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[-0.04159163311123848,<br>0.03432837128639221, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A29HLOUW0NS0EH</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.20097559690475464</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[0.06642847508192062,<br>-0.05616079270839691, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A7QS961ROI6E0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.03142938390374184</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[0.009675352834165096,<br>-0.007970898412168026, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">A1BB77SEBQT8VX</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-0.04814040660858154</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[-0.05222608149051666,<br>-0.05173157900571823, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">AHWOW7D1ABO9C</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.14858826994895935</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[-0.06644463539123535,<br>-0.06544028967618942, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">AKS3GULZE0HFC</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-0.04796642065048218</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[-0.052164215594530106,<br>-0.051669999957084656, ...</td>\n","    </tr>\n","</table>\n","[749042 rows x 3 columns]<br/>Note: Only the head of the SFrame is printed.<br/>You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.\n","</div>"],"text/plain":["Columns:\n","\tUserID\tstr\n","\tlinear_terms\tfloat\n","\tfactors\tarray\n","\n","Rows: 749042\n","\n","Data:\n","+----------------+----------------------+-------------------------------+\n","|     UserID     |     linear_terms     |            factors            |\n","+----------------+----------------------+-------------------------------+\n","| A1D4G1SNUZWQOT |  0.1986227035522461  | [0.060564953833818436, -0.... |\n","| A3DDWDH9PX2YX2 | -0.11359886825084686 | [-0.10572709888219833, 0.0... |\n","| A2MWC41EW7XL15 | 0.03128080070018768  | [0.009506972506642342, -0.... |\n","| A2UH2QQ275NV45 | -0.2996751666069031  | [-0.09011372923851013, 0.0... |\n","| A89F3LQADZBS5  | -0.13726596534252167 | [-0.04159163311123848, 0.0... |\n","| A29HLOUW0NS0EH | 0.20097559690475464  | [0.06642847508192062, -0.0... |\n","| A7QS961ROI6E0  | 0.03142938390374184  | [0.009675352834165096, -0.... |\n","| A1BB77SEBQT8VX | -0.04814040660858154 | [-0.05222608149051666, -0.... |\n","| AHWOW7D1ABO9C  | 0.14858826994895935  | [-0.06644463539123535, -0.... |\n","| AKS3GULZE0HFC  | -0.04796642065048218 | [-0.052164215594530106, -0... |\n","+----------------+----------------------+-------------------------------+\n","[749042 rows x 3 columns]\n","Note: Only the head of the SFrame is printed.\n","You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns."]},"metadata":{"tags":[]},"execution_count":26}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":449},"id":"D-oo6sDgfiwX","executionInfo":{"status":"ok","timestamp":1619421695690,"user_tz":-330,"elapsed":266604,"user":{"displayName":"hrushikesh malpekar","photoUrl":"","userId":"12958357008200083198"}},"outputId":"d3da3756-621b-46b4-dac4-07d25ebd74b7"},"source":["factorization_recommender_model_adagrad.coefficients['ProdID']"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\"><table frame=\"box\" rules=\"cols\">\n","    <tr>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">ProdID</th>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">linear_terms</th>\n","        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">factors</th>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7106116521</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-0.09033428877592087</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[0.2904115617275238,<br>-0.2454814612865448, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00007GDFV</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-0.2401818484067917</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[1.0440757274627686,<br>1.0336970090866089, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00008JOQI</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-0.21459487080574036</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[-0.6510534882545471,<br>0.6316325664520264, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00008JQF0</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-0.03333543241024017</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[-0.4331558346748352,<br>0.3797589838504791, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00008JVTT</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.33034348487854004</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[0.12328675389289856,<br>0.20447158813476562, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00008JPRZ</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.45138609409332275</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[-0.02316809818148613,<br>0.034053999930620193, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B0000AWHAA</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-0.12228750437498093</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[0.3477047383785248,<br>-0.34771597385406494, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B0000AWXMM</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.4358275830745697</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[-4.666737004299648e-05,<br>-4.467847975320183e-05, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B0000AWX3V</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-0.2122994065284729</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[0.25527769327163696,<br>-0.2552456855773926, ...</td>\n","    </tr>\n","    <tr>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">B00015VKT4</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0.5358326435089111</td>\n","        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">[-0.001390443998388946,<br>0.001354757696390152, ...</td>\n","    </tr>\n","</table>\n","[186167 rows x 3 columns]<br/>Note: Only the head of the SFrame is printed.<br/>You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.\n","</div>"],"text/plain":["Columns:\n","\tProdID\tstr\n","\tlinear_terms\tfloat\n","\tfactors\tarray\n","\n","Rows: 186167\n","\n","Data:\n","+------------+----------------------+-------------------------------+\n","|   ProdID   |     linear_terms     |            factors            |\n","+------------+----------------------+-------------------------------+\n","| 7106116521 | -0.09033428877592087 | [0.2904115617275238, -0.24... |\n","| B00007GDFV | -0.2401818484067917  | [1.0440757274627686, 1.033... |\n","| B00008JOQI | -0.21459487080574036 | [-0.6510534882545471, 0.63... |\n","| B00008JQF0 | -0.03333543241024017 | [-0.4331558346748352, 0.37... |\n","| B00008JVTT | 0.33034348487854004  | [0.12328675389289856, 0.20... |\n","| B00008JPRZ | 0.45138609409332275  | [-0.02316809818148613, 0.0... |\n","| B0000AWHAA | -0.12228750437498093 | [0.3477047383785248, -0.34... |\n","| B0000AWXMM |  0.4358275830745697  | [-4.666737004299648e-05, -... |\n","| B0000AWX3V | -0.2122994065284729  | [0.25527769327163696, -0.2... |\n","| B00015VKT4 |  0.5358326435089111  | [-0.001390443998388946, 0.... |\n","+------------+----------------------+-------------------------------+\n","[186167 rows x 3 columns]\n","Note: Only the head of the SFrame is printed.\n","You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns."]},"metadata":{"tags":[]},"execution_count":27}]},{"cell_type":"code","metadata":{"id":"B2Jhkr0RGwJB"},"source":["# below code is use to save model in drive\n","#factorization_recommender_model_adagrad.save(\"/content/drive/My Drive/recommender.model\")\n","#the final recommender is in Final_dataset notebook"],"execution_count":null,"outputs":[]}]}