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@nabeel-oz nabeel-oz released this 05 Sep 01:16
· 170 commits to master since this release
3.0
86baef9

Major Release

This is a major release that introduces functions for predictive analytics in 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.3.0:

  • New functions for training, testing and evaluating predictive models and then using them for making predictions in real-time.
  • Updated installation script and steps to avoid issues in Windows with Python 3.7, pystan, and C++ compilers.
  • Changed how the SSE converts strings to numbers so that it is independent of the system's locale settings.

qlik-py-tools-3.0.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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