8000 Fix indentation errors and username links by kluangkote · Pull Request #8121 · scikit-learn/scikit-learn · GitHub
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Fix indentation errors and username links #8121

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Dec 27, 2016
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Fix indentation errors and username links #8121

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27 changes: 15 additions & 12 deletions doc/whats_new.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -60,7 +60,7 @@ Enhancements

- Added ``classes_`` attribute to :class:`model_selection.GridSearchCV`
that matches the ``classes_`` attribute of ``best_estimator_``. :issue:`7661`
by :user:`Alyssa Batula <abatula>`_ and :user:`Dylan Werner-Meier <unautre>`.
by :user:`Alyssa Batula <abatula>` and :user:`Dylan Werner-Meier <unautre>`.

- The ``min_weight_fraction_leaf`` constraint in tree construction is now
more efficient, taking a fast path to declare a node a leaf if its weight
Expand Down Expand Up @@ -123,7 +123,7 @@ Bug fixes

- Fixed a bug where :class:`sklearn.linear_model.LassoLars` does not give
the same result as the LassoLars implementation available
in R (lars library). :issue:`7849` by `Jair Montoya Martinez`_
in R (lars library). :issue:`7849` by :user:`Jair Montoya Martinez <jmontoyam>`
- Some ``fetch_`` functions in `sklearn.datasets` were ignoring the
``download_if_missing`` keyword. This was fixed in :issue:`7944` by
:user:`Ralf Gommers <rgommers>`.
Expand Down Expand Up @@ -196,16 +196,19 @@ Changelog
---------

Enhancements
.........
............

- Improved ``sample_without_replacement`` speed by utilizing
numpy.random.permutation for most cases. As a result,
samples may differ in this release for a fixed random state.
Affected estimators:
- :class:`ensemble.BaggingClassifier`
- :class:`ensemble.BaggingRegressor`
- :class:`linear_model.RANSACRegressor`
- :class:`model_selection.RandomizedSearchCV`
- :class:`random_projection.SparseRandomProjection`

- :class:`ensemble.BaggingClassifier`
- :class:`ensemble.BaggingRegressor`
- :class:`linear_model.RANSACRegressor`
- :class:`model_selection.RandomizedSearchCV`
- :class:`random_projection.SparseRandomProjection`

This also affects the :meth:`datasets.make_classification`
method.

Expand All @@ -229,7 +232,7 @@ Bug fixes

- Fixes issue in :ref:`univariate_feature_selection` where score
functions were not accepting multi-label targets. :issue:`7676`
by `Mohammed Affan`_
by :user:`Mohammed Affan <affanv14>`

- Fixed setting parameters when calling ``fit`` multiple times on
:class:`feature_selection.SelectFromModel`. :issue:`7756` by `Andreas Müller`_
Expand Down Expand Up @@ -297,11 +300,11 @@ Trees and forests
- The ``min_weight_fraction_leaf`` parameter of tree-based classifiers and
regressors now assumes uniform sample weights by default if the
``sample_weight`` argument is not passed to the ``fit`` function.
Previously, the parameter was silently ignored. :issue:`7301` by `Nelson
Liu`_.
Previously, the parameter was silently ignored. :issue:`7301` by :user:`Nelson
Liu <nelson-liu>`.

- Tree splitting criterion classes' cloning/pickling is now memory safe.
:issue:`7680` by `Ibraim Ganiev`_.
:issue:`7680` by :user:`Ibraim Ganiev <olologin>`.


Linear, kernelized and related models
Expand Down
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