Metadata-Version: 2.1
Name: aika-ml
Version: 1.0.0
Summary: Methods for training supervised models on timeseries data
Home-page: https://github.com/phil20686/aika/
Author: Philip Stephens, Dominic Kennedy
Author-email: philip.stephens@sjc.oxon.org
License: GNU LGPLv3
Project-URL: Source, https://github.com/phil20686/aika/
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Win32 (MS Windows)
Classifier: Environment :: MacOS X
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Natural Language :: English
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Software Development :: Libraries
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: test
Provides-Extra: all
License-File: doc/LICENSE.rst

# 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](https://github.com/phil20686/aika/)

# Installation
``python -m pip install aika-ml``
