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Scikit-Garden\n\n[![Build\nStatus](https://travis-ci.org/scikit-garden/scikit-garden.svg?branch=master)](https://travis-ci.org/scikit-garden/scikit-garden)\n[![Build Status](https://circleci.com/gh/scikit-garden/scikit-garden/tree/master.svg?style=shield\u0026circle-token=:circle-token)](https://circleci.com/gh/scikit-garden/scikit-garden)\n\nScikit-Garden or skgarden (pronounced as skarden) is a garden for Scikit-Learn compatible decision trees and forests.\n\n#### Weights at different depths of a MondrianTree\n\u003cimg src=\"docs/mondrian_tree/plot3.png\" height=\"300\" /\u003e\n\n#### Ordered prediction intervals on the Boston dataset.\n\u003cimg src=\"docs/quantile/boston.png\" height=\"300\" /\u003e\n\n\n## Installation\n\nScikit-Garden can be installed using pip.\n\n```\npip install scikit-garden\n```\n\n## Available models\n\n### Regressors\n* MondrianForestRegressor\n* ExtraTreesRegressor (with `return_std` support)\n* ExtraTreesQuantileRegressor\n* RandomForestRegressor (with `return_std` support)\n* RandomForestQuantileRegressor\n\n### Classifiers\n* MondrianForestClassifier\n\n## Usage\n\nThe estimators in Scikit-Garden are Scikit-Learn compatible and can serve as a drop-in replacement for Scikit-Learn's trees and forests.\n\n```python\nfrom sklearn.datasets import load_boston\nX, y = load_boston()\n\n### Use MondrianForests for variance estimation\nfrom skgarden import MondrianForestRegressor\nmfr = MondrianForestRegressor()\nmfr.fit(X, y)\ny_mean, y_std = mfr.predict(X, return_std=True)\n\n### Use QuantileForests for quantile estimation\nfrom skgarden import RandomForestQuantileRegressor\nrfqr = RandomForestQuantileRegressor(random_state=0)\nrfqr.fit(X, y)\ny_mean = rfqr.predict(X)\ny_median = rfqr.predict(X, 50)\n```\n\n## Important links\n-  API Reference: https://scikit-garden.github.io/api/\n-  Examples: https://scikit-garden.github.io/examples/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscikit-garden%2Fscikit-garden","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fscikit-garden%2Fscikit-garden","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscikit-garden%2Fscikit-garden/lists"}