Data-science-utils

Latest version: v1.8.0

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1.2

Added
- visualization_aids::print_decision_paths a method that converts decision tree to a python function.
Changed
- visualization_aids::draw_tree parameter features_names changed to feature_names.
- visualization_aids::draw_tree parameters feature_names and class_names received default value.
Fixed
- Changed import of sklearn.tree.tree to sklearn.tree due to FutureWarning.

1.1

Added
- added matplotlib testing
Changed
- removed metrics::plot_precision_recall and metrics::plot_roc_curve due duplication with Yellowbrick package
- changed metrics::print_confusion_matrix to plot_confusion_matrix which returns a matplotlib figure
- visualization_aids now do not require ipython
- visualization_aids returns matplotlib figure objects
- metrics returns matplotlib figure objects
Fixed
- docs
- minor changes

1.0.4

Added
- added install_requires, python_requires and license in setup.py
- added changelog
Changed
- add version dependencies to requirements
- changed tox virtualenv
- changed classifiers in setup.py
Fixed
- fix tests for strings
- minor changes

1.0.3

Added

Changed

Fixed
- handle DeprecationWarning when using visualization_aids::draw_tree
- fix tests for strings

1.0.2

Added
- added method for feature visualization as visualization_aids::visualize_features
Changed
- updated syntax for dropping index in preprocess::get_correlated_features
- updated documentation for new feature visualization in visualization_aids::visualize_features
Fixed

1.0.1

Added
- added module preprocess
- documentation for modules metrics, preprocess, strings and visualization_aids
Changed

Fixed
- minor changes to setup.py

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