v.2.2
Minor Release
This release includes functions for clustering, forecasting and linear correlations.
- 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.2.2:
Qlik-Py-Init.bat
now imports an additional librarygrpcio-tools
due to a change in dependencies.Qlik-Py-Init.bat
now copies the project files to the Python virtual environment instead of moving them. This makes it a bit easier to delete the environment and run the initialization again if required.
qlik-py-tools-2.2.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.