Tools to extend sklearn's cross-validation classes and functions

Project description

README

Description

cvextend extends the functionality offered by the Model Selection module of scikit-learn:

cvextend.generate_param_grid helps with permutating models in steps and their hyperparameters in your sklearn.pipeline. See the example here

cvextend.ScoreGrid helps you keep track of the scores you want to use in cross-validations with different optimisation objectives in parallel. See the example here and also cvextend.EvaluationGrid.

cvextend.EvaluationGrid

Installation

To install the cvextend library use pip:

pip install cvextend

or install directly from source:

python setup.py install

Usage

[WIP]

Questions and comments

In case of questions or comments, write an email:
ldanov@users.noreply.github.com

Project details

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This version

0.2.2

Apr 1, 2021

0.2.1

Aug 9, 2020

0.2.0

Aug 9, 2020

0.1.0

Aug 9, 2020

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