Metadata-Version: 2.1
Name: marmot
Version: 0.1.2
Summary: Ensemble modeling with hyperparameter tuner
License: MIT
Author: horoiwa
Author-email: horoiwa195@gmail.com
Requires-Python: >=3.7,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: matplotlib (>=3.1,<4.0)
Requires-Dist: numpy (>=1.17,<2.0)
Requires-Dist: optuna (>=0.18.1,<0.19.0)
Requires-Dist: pandas (>=0.25.3,<0.26.0)
Requires-Dist: scikit-learn (>=0.21.3,<0.22.0)
Requires-Dist: scipy (>=1.3,<2.0)
Requires-Dist: xgboost (>=0.90.0,<0.91.0)
Description-Content-Type: text/x-rst

=====================================================
Marmot: Ensemble modeling with hyperparameter tuner
=====================================================

.. image:: https://travis-ci.org/horoiwa/marmot.svg?branch=master
    :target: https://travis-ci.org/horoiwa/marmot


Overview
========


Key Features
============

- Ready to use ensemble models extended from sklearn

- Rapid hyperparameter tuning powered by `optuna`


Getting started
===============

Example: Boston housing dataset

