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imbalanced-learn - 0.3.4

Published by glemaitre about 6 years ago

Just for switching documentation

imbalanced-learn - 0.3.3

Published by glemaitre over 6 years ago

Bug fix in the classification report

imbalanced-learn - 0.3.2

Published by glemaitre almost 7 years ago

imbalanced-learn - 0.3.1

Published by glemaitre about 7 years ago

Minor documentation revisions

imbalanced-learn - 0.3.0

Published by glemaitre about 7 years ago

What's new in version 0.3.0

Testing

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

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_.`

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_.

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_

__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 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_.