Metadata-Version: 1.1
Name: yellowbrick
Version: 0.1
Summary: A suite of visual analysis and diagnostic tools for machine learning.
Home-page: https://github.com/districtdatalabs/yellowbrick
Author: Rebecca Bilbro
Author-email: rbilbro@districtdatalabs.com
License: Apache 2
Download-URL: https://github.com/districtdatalabs/yellowbrick/tarball/v0.1
Description: Yellowbrick is a suite of visual analysis and diagnostic tools designed to facilitate machine learning with Scikit-Learn. The package includes visualizations that can help users navigate the feature selection process, build intuition around model selection, diagnose common problems like bias, heteroscedasticity, underfit, and overtraining, and support hyperparameter tuning to steer predictive models toward more successful results.
        
        Some of the available tools include:
        
        - histograms
        - scatter plot matrices
        - parallel coordinates
        - jointplots
        - ROC curves
        - classification heatmaps
        - residual plots
        - validation curves
        - gridsearch heatmaps
        
        For more, please see the full documentation at: http://yellowbrick.readthedocs.org/en/latest/
        
Keywords: visualization,machine learning,scikit-learn,matplotlib,data science
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Visualization
