DOC Fix some dead links in what's new 0.20
@@ -46,7 +46,7 @@ Classifiers and regressors
Model evaluation
-- Added the :func:`metrics.balanced_accuracy` metric and a corresponding
+- Added the :func:`metrics.balanced_accuracy_score` metric and a corresponding
``'balanced_accuracy'`` scorer for binary classification.
:issue:`8066` by :user:`xyguo` and :user:`Aman Dalmia <dalmia>`.
@@ -61,11 +61,11 @@ Classifiers and regressors
and :user:`Minghui Liu <minghui-liu>`.
- Add `named_estimators_` parameter in
- :class:`sklearn.ensemble.voting_classifier` to access fitted
+ :class:`ensemble.VotingClassifier` to access fitted
estimators. :issue:`9157` by :user:`Herilalaina Rakotoarison <herilalaina>`.
- Add `var_smoothing` parameter in
- :class:`sklearn.naive_bayes.GaussianNB` to give a precise control over
+ :class:`naive_bayes.GaussianNB` to give a precise control over
variances calculation. :issue:`9681` by :user:`Dmitry Mottl <Mottl>`.
- Add `n_iter_no_change` parameter in
@@ -75,9 +75,9 @@ Classifiers and regressors
maximum number of epochs to not meet ``tol`` improvement.
:issue:`9456` by :user:`Nicholas Nadeau <nnadeau>`.
-- A parameter ``check_inverse`` was added to :class:`FunctionTransformer`
- to ensure that ``func`` and ``inverse_func`` are the inverse of each
- other.
+- A parameter ``check_inverse`` was added to
+ :class:`preprocessing.FunctionTransformer` to ensure that ``func`` and
+ ``inverse_func`` are the inverse of each other.
:issue:`9399` by :user:`Guillaume Lemaitre <glemaitre>`.
Model evaluation and meta-estimators
@@ -133,7 +133,7 @@ Decomposition, manifold learning and clustering
:user:`James Bourbeau <jrbourbeau>`.
- Fixed a bug where the ``fit`` method of
- :class:`cluster.affinity_propagation_.AffinityPropagation` stored cluster
+ :class:`cluster.AffinityPropagation` stored cluster
centers as 3d array instead of 2d array in case of non-convergence. For the
same class, fixed undefined and arbitrary behavior in case of training data
where all samples had equal similarity.
