From f370983e652f3d7cf2a53f6b7984630839ce5605 Mon Sep 17 00:00:00 2001 From: Vladimir Mijic Date: Sat, 20 Aug 2022 19:28:58 +0200 Subject: [PATCH 1/3] fix anchor link --- get-started/quickstart.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/get-started/quickstart.md b/get-started/quickstart.md index 6a17019..bd79ac4 100644 --- a/get-started/quickstart.md +++ b/get-started/quickstart.md @@ -18,7 +18,7 @@ Select your use case: * [Anomaly Detection](quickstart.md#anomaly-detection) * [Natural Language Processing](quickstart.md#natural-language-processing) * [Association Rules Mining](quickstart.md#association-rules-mining) -* [Time Series (beta)](quickstart.md#time-series-beta) +* [Time Series (beta)](quickstart.md#time-series) ## Classification From 24635312e6cf306980ca82e0f65bc361f400f4e2 Mon Sep 17 00:00:00 2001 From: Vladimir Mijic Date: Sat, 20 Aug 2022 19:32:09 +0200 Subject: [PATCH 2/3] fixed broken links --- get-started/modules.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/get-started/modules.md b/get-started/modules.md index f50587f..7925ce7 100644 --- a/get-started/modules.md +++ b/get-started/modules.md @@ -68,12 +68,12 @@ Association rule learning is a rule-based machine learning method for discoverin {% endtab %} {% tab title="Time Series" %} -### [Time Series (beta)](quickstart.md#time-series-beta) +### [Time Series (beta)](quickstart.md#time-series) Time series forecasting is the process of analyzing time series data using statistics and modeling to make predictions and inform strategic decision-making -* ****[**Quickstart**](quickstart.md#time-series-beta)**** -* ****[**API Docs**](https://pycaret.readthedocs.io/en/time\_series/api/time\_series.html)**** +* ****[**Quickstart**](quickstart.md#time-series)**** +* ****[**API Docs**](https://pycaret.readthedocs.io/en/latest/api/time_series.html)**** * ****[**Tutorial**](tutorials.md) {% endtab %} From f7eb0d8a651d90d378c26342ff62b0f5457dd6d4 Mon Sep 17 00:00:00 2001 From: Vladimir Mijic Date: Sat, 20 Aug 2022 19:36:54 +0200 Subject: [PATCH 3/3] fixed broken links --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index b3e9e7c..eb20c55 100644 --- a/README.md +++ b/README.md @@ -74,9 +74,9 @@ PyCaret and its Machine Learning capabilities are seamlessly integrated with env ### Time Series -PyCaret **new time series module** is now available in the `3.0-rc`. Staying true to the simplicity of PyCaret, it is consistent with the existing API and fully loaded with functionalities. Statistical testing, model training and selection (30+ algorithms), model analysis, automated hyperparameter tuning, experiment logging, deployment on cloud, and more. All of this with only a few lines of code. If you would like to give it a try, check out our official [quick start](https://nbviewer.org/github/pycaret/pycaret/blob/time\_series\_beta/time\_series\_101.ipynb) notebook. +PyCaret **new time series module** is now available in the `3.0-rc`. Staying true to the simplicity of PyCaret, it is consistent with the existing API and fully loaded with functionalities. Statistical testing, model training and selection (30+ algorithms), model analysis, automated hyperparameter tuning, experiment logging, deployment on cloud, and more. All of this with only a few lines of code. If you would like to give it a try, check out our official [quick start](https://nbviewer.org/github/pycaret/pycaret/blob/master/examples/time_series/forecasting/time_series_101.ipynb) notebook. -* 📚 [Time Series Docs](https://pycaret.readthedocs.io/en/time\_series/api/time\_series.html) +* 📚 [Time Series Docs](https://pycaret.readthedocs.io/en/latest/api/time_series.html) * ❓ [Time Series FAQs](https://github.com/pycaret/pycaret/discussions/categories/faqs?discussions\_q=category%3AFAQs+label%3Atime\_series) * 🚀 [Features and Roadmap](https://github.com/pycaret/pycaret/issues/1648)