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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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