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DOC add missing attributes in GaussianProcessClassifier (#14312) #17698

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Merged
merged 8 commits into from
Jun 24, 2020
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DOC add missing attributes in GaussianProcessClassifier (#14312) #17698

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52aa0f3
DOC add missing attributes in GaussianProcessClassifier (#14312)
kcetina-fujitsu Jun 24, 2020
76538d6
Merge branch 'master' of https://github.com/scikit-learn/scikit-learn…
kcetina-fujitsu Jun 24, 2020
231d60b
Update sklearn/gaussian_process/_gpc.py
kcetina-fujitsu Jun 24, 2020
f412610
Simplification of ``base_estimator_`` attribute description.
kcetina-fujitsu Jun 24, 2020
057c2e6
Error merge
kcetina-fujitsu Jun 24, 2020
10bf0aa
Merge branch 'doc_attributes' of https://github.com/kcetina-fujitsu/s…
kcetina-fujitsu Jun 24, 2020
924fff6
Simplification of ``base_estimator_`` attribute description.
kcetina-fujitsu Jun 24, 2020
0e217bc
Update sklearn/gaussian_process/_gpc.py
kcetina-fujitsu Jun 24, 2020
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4 changes: 4 additions & 0 deletions sklearn/gaussian_process/_gpc.py
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Expand Up @@ -555,6 +555,10 @@ def optimizer(obj_func, initial_theta, bounds):

Attributes
----------
base_estimator_ : ``Estimator`` instance
The estimator instance that defines the likelihood function
using the observed data.

kernel_ : kernel instance
The kernel used for prediction. In case of binary classification,
the structure of the kernel is the same as the one passed as parameter
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2 changes: 1 addition & 1 deletion sklearn/tests/test_docstring_parameters.py
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Expand Up @@ -229,7 +229,7 @@ def test_fit_docstring_attributes(name, Estimator):
assert hasattr(est, attr.name)

IGNORED = {'BayesianRidge', 'Birch', 'CCA', 'CategoricalNB', 'ElasticNet',
'ElasticNetCV', 'GaussianProcessClassifier',
'ElasticNetCV',
'HistGradientBoostingClassifier',
'HistGradientBoostingRegressor',
'KernelCenterer', 'KernelDensity',
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