v.2.4
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.2.4:
- Added a new parameter for Prophet that allows multiplicative seasonality. This is useful if the seasonality is not a constant additive factor as assumed by default in Prophet.
- Fixed a bug for the Prophet functions which gave unexpected behavior for the
return=y_then_yhat
parameter withtake_log=true
.
qlik-py-tools-2.4.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.