* fix error tuple passed to order
* fix linting
* Update sklearn/tests/test_multioutput.py
Co-authored-by: Roman Yurchak <rth.yurchak@gmail.com>
* updated test and whatsnew
* doc fix
* Update doc/whats_new/v0.24.rst
Co-authored-by: Roman Yurchak <rth.yurchak@gmail.com>
* Update sklearn/tests/test_multioutput.py
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
* Update sklearn/tests/test_multioutput.py
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
* code review fix
* code review fix
* added test
* code review fix
* Update sklearn/multioutput.py
Co-authored-by: Joel Nothman <joel.nothman@gmail.com>
Co-authored-by: Roman Yurchak <rth.yurchak@gmail.com>
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
Co-authored-by: Joel Nothman <joel.nothman@gmail.com>
Co-Authored-By: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>
Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>
Co-authored-by: Thomas J Fan <thomasjpfan@gmail.com>
* 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 v0.19.1 and wip v0.19
* finished adding vchanged strings for v0.19
Towards #15426
@adrinjalali #wimlds #scikitlearnsprint
* fixing linter issues
* caught line issues with flake8
* caught the last line issue
* added lines and cleaned gtiignore
* Update sklearn/multiclass.py
Co-Authored-By: Thomas J Fan <thomasjpfan@gmail.com>
* Update sklearn/multiclass.py
Co-Authored-By: Thomas J Fan <thomasjpfan@gmail.com>
Co-authored-by: Thomas J Fan <thomasjpfan@gmail.com>
* removed warn_on_dtype
* removed parameters to check_is_fitted
* all_estimators parameters
* deprecated n_components attribute in AgglomerativeClustering
* change default of base.score for multioutput
* removed lots of useless decorators?
* changed default of copy in quantil_transform
* removed six.py
* nmf default value of init param
* raise error instead of warning in LinearDiscriminantAnalysis
* removed label param in hamming_loss
* updated method parameter of power_transform
* pep8
* changed default value of min_impurity_split
* removed assert_false and assert_true
* added and fixed versionchanged directives
* reset min_impurity_split default to None
* fixed LDA issue
* fixed some test
* more docstrings updates
* set min_impurity_decrease for test to pass
* upate docstring example
* fixed doctest
* removed multiouput.score since it's now consistent with the default
* deprecate least_angle parameter combination
* remove support for l1 or l2 loss in svm
* removed linear_assignment.py
* add test
#### Reference Issues/PRs
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This PR addresses issue #12466.
#### What does this implement/fix? Explain your changes.
This PR does the 3 following things:
- Rewrite the `cv` parameter description in `GridSearchCV`
- Link the new `CV splitter` description to an existing example
- Add an example with a custom iterable
Thanks for reviewing this!
Close#12466
In order to fix#11408, this swaps `joblib` and `_joblib`. It however, allows users to access joblib's `Memory` or `Parallel` functionality without accessing `sklearn.externals._joblib` by importing `Memory`, `Parallel`, etc. into `sklearn.utils`.
Albert Villanova del Moral
Hanmin Qin