Metadata-Version: 2.1
Name: sksearchspace
Version: 2020.7.0.0.23.1.dev0
Summary: Defines search spaces for scikit-lean estimators
Home-page: https://github.com/thomasjpfan/sksearchspace
Author: Thomas J. Fan
Author-email: thomasjpfan@gmail.com
License: MIT
Description: # sksearchspace
        
        ![.github/workflows/ci.yml](https://github.com/thomasjpfan/sksearchspace/workflows/.github/workflows/ci.yml/badge.svg) [![codecov](https://codecov.io/gh/thomasjpfan/sksearchspace/branch/master/graph/badge.svg)](https://codecov.io/gh/thomasjpfan/sksearchspace)
        
        Scikit-learn Search Space Configurations with curated search spaces for [scikit-learn estimators](http://github.com/scikit-learn/scikit-learn).
        
        ## Usage
        
        ```py
        from sksearchspace import SearchSpace
        from sklearn.tree import DecisionTreeClassifier
        
        estimator_space = SearchSpace.for_sklearn_estimator(DecisionTreeClassifier, seed=42)
        estimator_space.sample()
        # {'criterion': 'entropy','min_samples_leaf': 15, 'min_samples_split': 11}
        
        estimator_space.sample()
        # {'criterion': 'entropy', 'min_samples_leaf': 12, 'min_samples_split': 4}
        ```
        
        `sksearchspace` uses [ConfigSpace](https://automl.github.io/ConfigSpace/master/) for sampling. The `ConfigSpace` configuration can be accessed through an attribute:
        
        ```py
        estimator_space.configuration
        # Configuration space object:
        # Hyperparameters:
        #   criterion, Type: Categorical, Choices: {gini, entropy}, Default: gini
        #   min_samples_leaf, Type: UniformInteger, Range: [1, 20], Default: 1
        #   min_samples_split, Type: UniformInteger, Range: [2, 20], Default: 2
        ```
        
        # License
        
        Copyright (c) 2020 Thomas J. Fan
        
        Distributed under the terms of the MIT license, pytest is free and open source software.
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
