* normalize_components in sparsePCA
* changed default strategy of Dummy to prior and removed outputs_2d ttribute
* removed usage of None to drop estimator in ensemble and behaviour param of IsolationForest
* remove support for drop=None in Voting
* removed some warning decorators
* remove feature_extraction.extract_patches
* removed VectorizerMixin and copy parameter from TFIDFVectorizer
* kernel.set_params now raises attributeerror
* removed fig from plot_partial_dependence
* removed iid parameter of search estimators
* removed brier_scorer
* raise error in split when shuffle is False and random_state is not None
* removed MultiOutputEstimator
* removed base classes of NaiveBayes
* removed drop from pipeline
* removed utils in random_projection
* removed presort and classes_ in trees
* flake8
* fixed some tests
* flake
* fixed docstring
* fixed other one
* some left
* mmmm
* Added links to utils.Bunch and fixed format of the docstring in datasets
* Added links to utils.Bunch in sklearn.compose
* Added links to utils.Bunch in sklearn.tree
* Added links to utils.Bunch in sklearn.ensemble
* Added links to utils.Bunch in sklearn.inspection
* Added links to utils.Bunch in sklearn.pipeline
* modified docstring of Bunch
* Added links to utils.Bunch to index.rst of sklearn.datasets
* Fixed some docstrings because the lines are too long
* Fixed some points as reviewed.
* Add links and delete 'for more information...'
* Fixed indent
* Fixed forgotten points.
* Fixed some points as reviewed.
* Standardize sample weights validation in BaseDecisionTree
Co-authored-by: Sallie Walecka <sallie.walecka@gmail.com>
* Use DOUBLE var instead of np.float64 & refactored test
Co-authored-by: Sallie Walecka <sallie.walecka@gmail.com>
Thomas J. Fan