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repos: | ||
- repo: https://github.com/psf/black | ||
rev: 23.1.0 | ||
hooks: | ||
- id: black | ||
# It is recommended to specify the latest version of Python | ||
# supported by your project here, or alternatively use | ||
# pre-commit's default_language_version, see | ||
# https://pre-commit.com/#top_level-default_language_version | ||
language_version: python3.9 |
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name: Recommender-Models | ||
channels: | ||
- pytorch | ||
- nvidia | ||
- conda-forge | ||
- defaults | ||
dependencies: | ||
- _libgcc_mutex=0.1=main | ||
- _openmp_mutex=5.1=1_gnu | ||
- absl-py=1.3.0=py39h06a4308_0 | ||
- aiohttp=3.8.3=py39h5eee18b_0 | ||
- aiosignal=1.2.0=pyhd3eb1b0_0 | ||
- anyio=3.5.0=py39h06a4308_0 | ||
- appdirs=1.4.4=pyh9f0ad1d_0 | ||
- argon2-cffi=21.3.0=pyhd3eb1b0_0 | ||
- argon2-cffi-bindings=21.2.0=py39h7f8727e_0 | ||
- asttokens=2.0.5=pyhd3eb1b0_0 | ||
- async-timeout=4.0.2=py39h06a4308_0 | ||
- attrs=22.1.0=py39h06a4308_0 | ||
- babel=2.11.0=py39h06a4308_0 | ||
- backcall=0.2.0=pyhd3eb1b0_0 | ||
- beautifulsoup4=4.11.1=py39h06a4308_0 | ||
- black=22.6.0=py39h06a4308_0 | ||
- blas=1.0=mkl | ||
- bleach=4.1.0=pyhd3eb1b0_0 | ||
- blinker=1.4=py39h06a4308_0 | ||
- bottleneck=1.3.5=py39h7deecbd_0 | ||
- brotlipy=0.7.0=py39h27cfd23_1003 | ||
- bzip2=1.0.8=h7b6447c_0 | ||
- c-ares=1.18.1=h7f8727e_0 | ||
- ca-certificates=2023.01.10=h06a4308_0 | ||
- cachetools=4.2.2=pyhd3eb1b0_0 | ||
- certifi=2022.12.7=py39h06a4308_0 | ||
- cffi=1.15.1=py39h5eee18b_3 | ||
- charset-normalizer=2.0.4=pyhd3eb1b0_0 | ||
- click=8.1.3=unix_pyhd8ed1ab_2 | ||
- comm=0.1.2=py39h06a4308_0 | ||
- cryptography=38.0.4=py39h9ce1e76_0 | ||
- cuda=11.7.1=0 | ||
- cuda-cccl=11.7.91=0 | ||
- cuda-command-line-tools=11.7.1=0 | ||
- cuda-compiler=11.7.1=0 | ||
- cuda-cudart=11.7.99=0 | ||
- cuda-cudart-dev=11.7.99=0 | ||
- cuda-cuobjdump=11.7.91=0 | ||
- cuda-cupti=11.7.101=0 | ||
- cuda-cuxxfilt=11.7.91=0 | ||
- cuda-demo-suite=12.0.140=0 | ||
- cuda-documentation=12.0.140=0 | ||
- cuda-driver-dev=11.7.99=0 | ||
- cuda-gdb=12.0.140=0 | ||
- cuda-libraries=11.7.1=0 | ||
- cuda-libraries-dev=11.7.1=0 | ||
- cuda-memcheck=11.8.86=0 | ||
- cuda-nsight=12.0.140=0 | ||
- cuda-nsight-compute=12.0.1=0 | ||
- cuda-nvcc=11.7.99=0 | ||
- cuda-nvdisasm=12.0.140=0 | ||
- cuda-nvml-dev=11.7.91=0 | ||
- cuda-nvprof=12.0.146=0 | ||
- cuda-nvprune=11.7.91=0 | ||
- cuda-nvrtc=11.7.99=0 | ||
- cuda-nvrtc-dev=11.7.99=0 | ||
- cuda-nvtx=11.7.91=0 | ||
- cuda-nvvp=12.0.146=0 | ||
- cuda-runtime=11.7.1=0 | ||
- cuda-sanitizer-api=12.0.140=0 | ||
- cuda-toolkit=11.7.1=0 | ||
- cuda-tools=11.7.1=0 | ||
- cuda-visual-tools=11.7.1=0 | ||
- dbus=1.13.18=hb2f20db_0 | ||
- debugpy=1.5.1=py39h295c915_0 | ||
- decorator=5.1.1=pyhd3eb1b0_0 | ||
- defusedxml=0.7.1=pyhd3eb1b0_0 | ||
- docker-pycreds=0.4.0=py_0 | ||
- entrypoints=0.4=py39h06a4308_0 | ||
- executing=0.8.3=pyhd3eb1b0_0 | ||
- expat=2.4.9=h6a678d5_0 | ||
- ffmpeg=4.3=hf484d3e_0 | ||
- flit-core=3.6.0=pyhd3eb1b0_0 | ||
- fontconfig=2.14.1=h52c9d5c_1 | ||
- freetype=2.12.1=h4a9f257_0 | ||
- frozenlist=1.3.3=py39h5eee18b_0 | ||
- gds-tools=1.5.1.14=0 | ||
- giflib=5.2.1=h5eee18b_1 | ||
- gitdb=4.0.10=pyhd8ed1ab_0 | ||
- gitpython=3.1.30=pyhd8ed1ab_0 | ||
- glib=2.69.1=he621ea3_2 | ||
- gmp=6.2.1=h295c915_3 | ||
- gnutls=3.6.15=he1e5248_0 | ||
- google-auth=2.6.0=pyhd3eb1b0_0 | ||
- google-auth-oauthlib=0.4.4=pyhd3eb1b0_0 | ||
- grpcio=1.42.0=py39hce63b2e_0 | ||
- gst-plugins-base=1.14.0=h8213a91_2 | ||
- gstreamer=1.14.0=h28cd5cc_2 | ||
- icu=58.2=he6710b0_3 | ||
- idna=3.4=py39h06a4308_0 | ||
- importlib-metadata=4.11.3=py39h06a4308_0 | ||
- intel-openmp=2021.4.0=h06a4308_3561 | ||
- ipykernel=6.19.2=py39hb070fc8_0 | ||
- ipython=8.8.0=py39h06a4308_0 | ||
- ipython_genutils=0.2.0=pyhd3eb1b0_1 | ||
- ipywidgets=7.6.5=pyhd3eb1b0_1 | ||
- jedi=0.18.1=py39h06a4308_1 | ||
- jinja2=3.1.2=py39h06a4308_0 | ||
- jpeg=9e=h7f8727e_0 | ||
- json5=0.9.6=pyhd3eb1b0_0 | ||
- jsonschema=4.16.0=py39h06a4308_0 | ||
- jupyter=1.0.0=py39h06a4308_8 | ||
- jupyter_client=7.4.9=py39h06a4308_0 | ||
- jupyter_console=6.4.4=py39h06a4308_0 | ||
- jupyter_core=5.1.1=py39h06a4308_0 | ||
- jupyter_server=1.23.4=py39h06a4308_0 | ||
- jupyterlab=3.5.3=py39h06a4308_0 | ||
- jupyterlab_pygments=0.1.2=py_0 | ||
- jupyterlab_server=2.16.5=py39h06a4308_0 | ||
- jupyterlab_widgets=1.0.0=pyhd3eb1b0_1 | ||
- krb5=1.19.4=h568e23c_0 | ||
- lame=3.100=h7b6447c_0 | ||
- lcms2=2.12=h3be6417_0 | ||
- ld_impl_linux-64=2.38=h1181459_1 | ||
- lerc=3.0=h295c915_0 | ||
- libclang=10.0.1=default_hb85057a_2 | ||
- libcublas=11.10.3.66=0 | ||
- libcublas-dev=11.10.3.66=0 | ||
- libcufft=10.7.2.124=h4fbf590_0 | ||
- libcufft-dev=10.7.2.124=h98a8f43_0 | ||
- libcufile=1.5.1.14=0 | ||
- libcufile-dev=1.5.1.14=0 | ||
- libcurand=10.3.1.124=0 | ||
- libcurand-dev=10.3.1.124=0 | ||
- libcusolver=11.4.0.1=0 | ||
- libcusolver-dev=11.4.0.1=0 | ||
- libcusparse=11.7.4.91=0 | ||
- libcusparse-dev=11.7.4.91=0 | ||
- libdeflate=1.8=h7f8727e_5 | ||
- libedit=3.1.20221030=h5eee18b_0 | ||
- libevent=2.1.12=h8f2d780_0 | ||
- libffi=3.4.2=h6a678d5_6 | ||
- libgcc-ng=11.2.0=h1234567_1 | ||
- libgomp=11.2.0=h1234567_1 | ||
- libiconv=1.16=h7f8727e_2 | ||
- libidn2=2.3.2=h7f8727e_0 | ||
- libllvm10=10.0.1=hbcb73fb_5 | ||
- libnpp=11.7.4.75=0 | ||
- libnpp-dev=11.7.4.75=0 | ||
- libnvjpeg=11.8.0.2=0 | ||
- libnvjpeg-dev=11.8.0.2=0 | ||
- libpng=1.6.37=hbc83047_0 | ||
- libpq=12.9=h16c4e8d_3 | ||
- libprotobuf=3.20.3=he621ea3_0 | ||
- libsodium=1.0.18=h7b6447c_0 | ||
- libstdcxx-ng=11.2.0=h1234567_1 | ||
- libtasn1=4.16.0=h27cfd23_0 | ||
- libtiff=4.5.0=h6a678d5_1 | ||
- libunistring=0.9.10=h27cfd23_0 | ||
- libuuid=1.41.5=h5eee18b_0 | ||
- libwebp=1.2.4=h11a3e52_0 | ||
- libwebp-base=1.2.4=h5eee18b_0 | ||
- libxcb=1.15=h7f8727e_0 | ||
- libxkbcommon=1.0.1=hfa300c1_0 | ||
- libxml2=2.9.14=h74e7548_0 | ||
- libxslt=1.1.35=h4e12654_0 | ||
- lxml=4.9.1=py39h1edc446_0 | ||
- lz4-c=1.9.4=h6a678d5_0 | ||
- markdown=3.4.1=py39h06a4308_0 | ||
- markupsafe=2.1.1=py39h7f8727e_0 | ||
- matplotlib-inline=0.1.6=py39h06a4308_0 | ||
- mistune=0.8.4=py39h27cfd23_1000 | ||
- mkl=2021.4.0=h06a4308_640 | ||
- mkl-service=2.4.0=py39h7f8727e_0 | ||
- mkl_fft=1.3.1=py39hd3c417c_0 | ||
- mkl_random=1.2.2=py39h51133e4_0 | ||
- multidict=6.0.2=py39h5eee18b_0 | ||
- mypy_extensions=0.4.3=py39h06a4308_1 | ||
- nbclassic=0.4.8=py39h06a4308_0 | ||
- nbclient=0.5.13=py39h06a4308_0 | ||
- nbconvert=6.5.4=py39h06a4308_0 | ||
- nbformat=5.7.0=py39h06a4308_0 | ||
- ncurses=6.4=h6a678d5_0 | ||
- nest-asyncio=1.5.6=py39h06a4308_0 | ||
- nettle=3.7.3=hbbd107a_1 | ||
- notebook=6.5.2=py39h06a4308_0 | ||
- notebook-shim=0.2.2=py39h06a4308_0 | ||
- nsight-compute=2022.4.1.6=0 | ||
- nspr=4.33=h295c915_0 | ||
- nss=3.74=h0370c37_0 | ||
- numexpr=2.8.4=py39he184ba9_0 | ||
- numpy=1.23.5=py39h14f4228_0 | ||
- numpy-base=1.23.5=py39h31eccc5_0 | ||
- oauthlib=3.2.1=py39h06a4308_0 | ||
- openh264=2.1.1=h4ff587b_0 | ||
- openssl=1.1.1t=h7f8727e_0 | ||
- packaging=22.0=py39h06a4308_0 | ||
- pandas=1.5.2=py39h417a72b_0 | ||
- pandocfilters=1.5.0=pyhd3eb1b0_0 | ||
- parso=0.8.3=pyhd3eb1b0_0 | ||
- pathspec=0.10.3=py39h06a4308_0 | ||
- pathtools=0.1.2=py_1 | ||
- pcre=8.45=h295c915_0 | ||
- pexpect=4.8.0=pyhd3eb1b0_3 | ||
- pickleshare=0.7.5=pyhd3eb1b0_1003 | ||
- pillow=9.3.0=py39h6a678d5_2 | ||
- pip=22.3.1=py39h06a4308_0 | ||
- platformdirs=2.5.2=py39h06a4308_0 | ||
- ply=3.11=py39h06a4308_0 | ||
- prometheus_client=0.14.1=py39h06a4308_0 | ||
- prompt-toolkit=3.0.36=py39h06a4308_0 | ||
- prompt_toolkit=3.0.36=hd3eb1b0_0 | ||
- protobuf=3.20.3=py39h6a678d5_0 | ||
- psutil=5.9.0=py39h5eee18b_0 | ||
- ptyprocess=0.7.0=pyhd3eb1b0_2 | ||
- pure_eval=0.2.2=pyhd3eb1b0_0 | ||
- pyasn1=0.4.8=pyhd3eb1b0_0 | ||
- pyasn1-modules=0.2.8=py_0 | ||
- pycparser=2.21=pyhd3eb1b0_0 | ||
- pygments=2.11.2=pyhd3eb1b0_0 | ||
- pyjwt=2.4.0=py39h06a4308_0 | ||
- pyopenssl=22.0.0=pyhd3eb1b0_0 | ||
- pyqt=5.15.7=py39h6a678d5_1 | ||
- pyqt5-sip=12.11.0=py39h6a678d5_1 | ||
- pyrsistent=0.18.0=py39heee7806_0 | ||
- pysocks=1.7.1=py39h06a4308_0 | ||
- python=3.9.16=h7a1cb2a_0 | ||
- python-dateutil=2.8.2=pyhd3eb1b0_0 | ||
- python-fastjsonschema=2.16.2=py39h06a4308_0 | ||
- python_abi=3.9=2_cp39 | ||
- pytorch=1.13.1=py3.9_cuda11.7_cudnn8.5.0_0 | ||
- pytorch-cuda=11.7=h67b0de4_1 | ||
- pytorch-mutex=1.0=cuda | ||
- pytz=2022.7=py39h06a4308_0 | ||
- pyyaml=6.0=py39hb9d737c_4 | ||
- pyzmq=23.2.0=py39h6a678d5_0 | ||
- qt-main=5.15.2=h327a75a_7 | ||
- qt-webengine=5.15.9=hd2b0992_4 | ||
- qtconsole=5.4.0=py39h06a4308_0 | ||
- qtpy=2.2.0=py39h06a4308_0 | ||
- qtwebkit=5.212=h4eab89a_4 | ||
- readline=8.2=h5eee18b_0 | ||
- requests=2.28.1=py39h06a4308_0 | ||
- requests-oauthlib=1.3.0=py_0 | ||
- rsa=4.7.2=pyhd3eb1b0_1 | ||
- send2trash=1.8.0=pyhd3eb1b0_1 | ||
- sentry-sdk=1.15.0=pyhd8ed1ab_0 | ||
- setproctitle=1.2.2=py39hb9d737c_2 | ||
- setuptools=65.6.3=py39h06a4308_0 | ||
- sip=6.6.2=py39h6a678d5_0 | ||
- six=1.16.0=pyhd3eb1b0_1 | ||
- smmap=3.0.5=pyh44b312d_0 | ||
- sniffio=1.2.0=py39h06a4308_1 | ||
- soupsieve=2.3.2.post1=py39h06a4308_0 | ||
- sqlite=3.40.1=h5082296_0 | ||
- stack_data=0.2.0=pyhd3eb1b0_0 | ||
- tensorboard=2.10.0=py39h06a4308_0 | ||
- tensorboard-data-server=0.6.1=py39h52d8a92_0 | ||
- tensorboard-plugin-wit=1.8.1=py39h06a4308_0 | ||
- terminado=0.17.1=py39h06a4308_0 | ||
- tinycss2=1.2.1=py39h06a4308_0 | ||
- tk=8.6.12=h1ccaba5_0 | ||
- toml=0.10.2=pyhd3eb1b0_0 | ||
- tomli=2.0.1=py39h06a4308_0 | ||
- torchaudio=0.13.1=py39_cu117 | ||
- torchvision=0.14.1=py39_cu117 | ||
- tornado=6.2=py39h5eee18b_0 | ||
- traitlets=5.7.1=py39h06a4308_0 | ||
- typing-extensions=4.4.0=py39h06a4308_0 | ||
- typing_extensions=4.4.0=py39h06a4308_0 | ||
- tzdata=2022g=h04d1e81_0 | ||
- urllib3=1.26.14=py39h06a4308_0 | ||
- wandb=0.13.10=pyhd8ed1ab_0 | ||
- wcwidth=0.2.5=pyhd3eb1b0_0 | ||
- webencodings=0.5.1=py39h06a4308_1 | ||
- websocket-client=0.58.0=py39h06a4308_4 | ||
- werkzeug=2.2.2=py39h06a4308_0 | ||
- wheel=0.37.1=pyhd3eb1b0_0 | ||
- widgetsnbextension=3.5.2=py39h06a4308_0 | ||
- xz=5.2.10=h5eee18b_1 | ||
- yaml=0.2.5=h7f98852_2 | ||
- yarl=1.8.1=py39h5eee18b_0 | ||
- zeromq=4.3.4=h2531618_0 | ||
- zipp=3.11.0=py39h06a4308_0 | ||
- zlib=1.2.13=h5eee18b_0 | ||
- zstd=1.5.2=ha4553b6_0 | ||
prefix: /local/data1/pathi619/envs/Recommender-Models |
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import os | ||
import pickle | ||
import json | ||
import numpy as np | ||
import pandas as pd | ||
|
||
|
||
def get_low_frequency_items(data_dir, quantile, item_col_name): | ||
# Read data | ||
if "csv" in str(data_dir): | ||
data = pd.read_pickle(data_dir) | ||
elif "json" in str(data_dir): | ||
data = pd.read_json(data_dir, orient="records", lines=True) | ||
else: | ||
data = pd.read_pickle(data_dir) | ||
|
||
# Get sorted item frequency | ||
sorted_freq = data[item_col_name].value_counts().sort_values(ascending=False) | ||
freq_thresh = np.quantile(sorted_freq, q=quantile) | ||
|
||
# Get itemIDs with frequency smaller than thresh | ||
unpopular_items = sorted_freq[sorted_freq < freq_thresh].index.values | ||
|
||
return unpopular_items | ||
|
||
|
||
def save_freq_to_file(data_dir, target_dir, quantile=0.9, item_col_name="item_id"): | ||
unpopular_items = get_low_frequency_items( | ||
data_dir, quantile=quantile, item_col_name=item_col_name | ||
) | ||
|
||
unpopular_items = unpopular_items.tolist() | ||
|
||
with open(os.path.join(target_dir, "unpopular_items.json"), "w") as f: | ||
json.dump(unpopular_items, f) | ||
|
||
|
||
def load_unpopular_items(data_dir): | ||
""" | ||
Loads list from directory and returns it as set. | ||
""" | ||
if "pkl" in data_dir: | ||
with open(data_dir, "rb") as f: | ||
unpopular_items = pickle.load(f) | ||
else: | ||
with open(data_dir, "r") as f: | ||
unpopular_items = json.load(f) | ||
return set(unpopular_items) | ||
|
||
|
||
if __name__ == "__main__": | ||
import os | ||
import pathlib | ||
from argparse import ArgumentParser | ||
|
||
parser = ArgumentParser(description="Write unpopular items to file") | ||
|
||
parser.add_argument( | ||
"-f", | ||
"--filename", | ||
help="all events file path", | ||
metavar="FILE", | ||
required=True, | ||
) | ||
|
||
parser.add_argument( | ||
"-t", | ||
"--targetdir", | ||
help="target directory where to save file", | ||
required=True, | ||
) | ||
|
||
parser.add_argument( | ||
"-q", | ||
"--quantile", | ||
help="quantile to check - e.g. 0.9, 90% of all items included", | ||
required=False, | ||
type=float, | ||
) | ||
|
||
parser.add_argument( | ||
"-i", | ||
"--item_col_name", | ||
help="name of itemID column in data file", | ||
required=False, | ||
) | ||
|
||
# Get filepath as arg | ||
args = parser.parse_args() | ||
config_path = pathlib.Path(args.filename) | ||
save_freq_to_file( | ||
config_path.absolute(), | ||
quantile=args.quantile, | ||
target_dir=args.targetdir, | ||
item_col_name=args.item_col_name, | ||
) |
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