Bug fix in the classification report

Minor documentation revisions

What's new in version 0.3.0

Testing

• Pytest is used instead of nosetests. :issue:321 by Joan Massich_.

Documentation

• Added a User Guide and extended some examples. :issue:295 by Guillaume Lemaitre_.

Bug fixes

• Fixed a bug in :func:utils.check_ratio such that an error is raised when the number of samples required is negative. :issue:312 by Guillaume Lemaitre_.

• Fixed a bug in :class:under_sampling.NearMiss version 3. The indices returned were wrong. :issue:312 by Guillaume Lemaitre_.

• Fixed bug for :class:ensemble.BalanceCascade and :class:combine.SMOTEENN and :class:SMOTETomek. :issue:295 by Guillaume Lemaitre_.`

• Fixed bug for check_ratio to be able to pass arguments when ratio is a callable. :issue:307 by Guillaume Lemaitre_.`

New features

• Turn off steps in :class:pipeline.Pipeline using the None object. By Christos Aridas_.

• Add a fetching function :func:datasets.fetch_datasets in order to get some imbalanced datasets useful for benchmarking. :issue:249 by Guillaume Lemaitre_.

Enhancement

• All samplers accepts sparse matrices with defaulting on CSR type. :issue:316 by Guillaume Lemaitre_.

• :func:datasets.make_imbalance take a ratio similarly to other samplers. It supports multiclass. :issue:312 by Guillaume Lemaitre_.

• All the unit tests have been factorized and a :func:utils.check_estimators has been derived from scikit-learn. By Guillaume Lemaitre_.

• Script for automatic build of conda packages and uploading. :issue:242 by Guillaume Lemaitre_

• Remove seaborn dependence and improve the examples. :issue:264 by Guillaume Lemaitre_.

• adapt all classes to multi-class resampling. :issue:290 by Guillaume Lemaitre_

API changes summary

• __init__ has been removed from the :class:base.SamplerMixin to create a real mixin class. :issue:242 by Guillaume Lemaitre_.

• creation of a module :mod:exceptions to handle consistant raising of errors. :issue:242 by Guillaume Lemaitre_.

• creation of a module utils.validation to make checking of recurrent patterns. :issue:242 by Guillaume Lemaitre_.

• move the under-sampling methods in prototype_selection and prototype_generation submodule to make a clearer dinstinction. :issue:277 by Guillaume Lemaitre_.

• change ratio such that it can adapt to multiple class problems. :issue:290 by Guillaume Lemaitre_.

Deprecation

• Deprecation of the use of min_c_ in :func:datasets.make_imbalance. :issue:312 by Guillaume Lemaitre_

• Deprecation of the use of float in :func:datasets.make_imbalance for the ratio parameter. :issue:290 by Guillaume Lemaitre_.

• deprecate the use of float as ratio in favor of dictionary, string, or callable. :issue:290 by Guillaume Lemaitre_.

Release 0.2.0