Automated Machine Learning for Supervised tasks

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License: MIT

Author: Piotr Plonski

Tags automl, machine learning, random forest, keras, xgboost

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Project description

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mljar-supervised

Collection of supervised methods (including processing), used in MLJAR AutoML solution.

With this package you can handle any supervised ML algorithm with the same interface.

The package is under active development! Please expect a lot of changes!

Please check our platform!

Development

Installation

git clone https://github.com/mljar/mljar-supervised.git
virtualenv venv --python=python3.6
source venv/bin/activate
pip install -r requirements.txt

Testing

cd supervised
python -m tests.run_all

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for pplonski from gravatar.com pplonski

Unverified details

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Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT

Author: Piotr Plonski

Tags automl, machine learning, random forest, keras, xgboost

Classifiers

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This version

0.1.0

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