Skip to content

v.4.0
Compare
Choose a tag to compare
@nabeel-oz nabeel-oz released this 11 Apr 13:01
· 117 commits to master since this release
4.0
d830e4b
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Learn about vigilant mode.

Feature Release

The Prophet function now supports calls from the Qlik load script.

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.4.0:

  • Updated the Prophet function to allow usage from the Qlik load script.
  • Updated sample app to provide example of Prophet being used from the load script.
  • New image published to Docker Hub.

qlik-py-tools-4.0.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.

Assets 3
Loading