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@nabeel-oz nabeel-oz released this 05 Sep 11:57
· 167 commits to master since this release
3.1
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Learn about vigilant mode.

Minor Release

This release adds on to the predictive analytics functionality for Qlik.

This release includes:

  • Supervised Machine Learning : Implemented using scikit-learn, the go-to machine learning library for Python. This SSE implements the full machine learning flow from data preparation, model training and evaluation, to making predictions in Qlik.
  • Clustering : Implemented using HDBSCAN, a high performance algorithm that is great for exploratory data analysis.
  • Time series forecasting : Implemented using Facebook Prophet, a modern library for easily generating good quality forecasts.
  • Seasonality and holiday analysis : Also using Facebook Prophet.
  • Linear correlations : Implemented using Pandas.

Change Log v.3.1:

  • Added parameter tuning functionality for supervised machine learning.
  • Added a sample app for parameter tuning.

qlik-py-tools-3.1.zip

This zip archive only contains the files needed to deploy the SSE. To get the sample apps download the full source code above or get them from the docs.

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