Methods for training supervised models on timeseries data
Project description
Introduction
This project mostly expands the idea of a skikit-learn pipeline to accept bivariate pipelines, this makes it much easier to make a single pipeline with all aspects of feature engineering and supervised training, and this in turn makes it much easier to support the creation of walk-forward trained-models.
For more information on the aika project see the aika webpage
Installation
python -m pip install aika-ml
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