scikit-learn/sklearn/gaussian_process/tests
Nicolas Hug ac8cbb3799
[MRG] More deprecation for 0.24 (#17142)
* 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
2020-05-20 16:04:14 -04:00
..
__init__.py Move project directory from scikits.learn to sklearn 2011-09-02 12:06:57 +02:00
_mini_sequence_kernel.py ENH Allowing Gaussian process kernels on structured data (#15557) 2019-11-15 16:07:36 -08:00
test_gpc.py ENH Allowing Gaussian process kernels on structured data (#15557) 2019-11-15 16:07:36 -08:00
test_gpr.py FIX Predicted standard deviation values of Gaussian Processes are only within [0, 1] (#15782) 2020-02-25 09:53:50 +01:00
test_kernels.py [MRG] More deprecation for 0.24 (#17142) 2020-05-20 16:04:14 -04:00