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@nabeel-oz nabeel-oz released this 13 Jun 02:57
· 107 commits to master since this release
4.4
046a5ab

Maintenance Release

Additional fix for regression models.

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. In addition, models can be interpreted using Skater.
  • Unsupervised Machine Learning: Also implemented using scikit-learn. This provides capabilities for dimensionality reduction and clustering.
  • 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.4.4:

  • Fixed the numeric return type failing for the prediction function.
  • New docker image released with the changes.

qlik-py-tools-4.4.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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