[MRG] DOC covariance doctest examples#12124
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Removed the elliptic example, it shows the same issue as what I saw in PR #11732 |
rth
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Very nice, thanks @adrinjalali ! Actually the cov.location_ is not documented in the docstring, maybe add it as well?
| >>> np.random.seed(0) | ||
| >>> X = np.random.multivariate_normal(mean=[0, 0], | ||
| ... cov=real_cov, | ||
| ... size=300) |
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You put 300 here, whereas it should be 500 if you want to have the same output as for MinCovDet, see comment
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Thanks @adrinjalali ! |
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@adrinjalali I think you might have missed my comment about the EllipticEnveloppe issue: you put n_samples=300, whereas it should be 500 if you want to have the same output as for MinCovDet. |
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@albertcthomas I haven't missed it. The issue I report there is not the inconsistency between the two methods, and is rather just for the EllipticEnvelope. However, if the two methods are supposed to give the same results, it would mean EllipticEnvelope should also be stable if the number of samples is increased to 500. For that I need to do more tests on different systems/servers and haven't had the chance to do so yet. I'll respond to your comment on the issue #12127 once I run the tests. |
* tag '0.20.0': (77 commits) ColumnTransformer generalization to work on empty lists (scikit-learn#12084) add sparse_threshold to make_columns_transformer (scikit-learn#12152) [MRG] Convert ColumnTransformer input list to numpy array (scikit-learn#12104) Change version to 0.20.0 BUG: check equality instead of identity in check_cv (scikit-learn#12155) [MRG] Fix FutureWarnings in logistic regression examples (scikit-learn#12114) [MRG] Update test_metaestimators to pass y parameter when calling score (scikit-learn#12089) DOC Removed duplicated doc in tree.rst (scikit-learn#11922) [MRG] DOC covariance doctest examples (scikit-learn#12124) typo and formatting fixes in 0.20 doc (scikit-learn#11963) DOC Replaced the deprecated early_stopping parameter with n_iter_no_change. (scikit-learn#12133) [MRG +1] ColumnTransformer: store evaluated function column specifier during fit (scikit-learn#12107) Fix typo (scikit-learn#12126) DOC Typo in OneHotEncoder DOC Update fit_transform docstring of OneHotEncoder (scikit-learn#12117) DOC Removing quotes from variant names. (scikit-learn#12113) DOC BaggingRegressor missing default value for oob_score in docstring (scikit-learn#12108) [MRG] MNT Re-enable PyPy CI (scikit-learn#12039) MNT Only checks warnings on latest depedendencies versions in CI (scikit-learn#12048) TST Ignore warnings in common test to avoid collection errors (scikit-learn#12093) ...
* releases: (77 commits) ColumnTransformer generalization to work on empty lists (scikit-learn#12084) add sparse_threshold to make_columns_transformer (scikit-learn#12152) [MRG] Convert ColumnTransformer input list to numpy array (scikit-learn#12104) Change version to 0.20.0 BUG: check equality instead of identity in check_cv (scikit-learn#12155) [MRG] Fix FutureWarnings in logistic regression examples (scikit-learn#12114) [MRG] Update test_metaestimators to pass y parameter when calling score (scikit-learn#12089) DOC Removed duplicated doc in tree.rst (scikit-learn#11922) [MRG] DOC covariance doctest examples (scikit-learn#12124) typo and formatting fixes in 0.20 doc (scikit-learn#11963) DOC Replaced the deprecated early_stopping parameter with n_iter_no_change. (scikit-learn#12133) [MRG +1] ColumnTransformer: store evaluated function column specifier during fit (scikit-learn#12107) Fix typo (scikit-learn#12126) DOC Typo in OneHotEncoder DOC Update fit_transform docstring of OneHotEncoder (scikit-learn#12117) DOC Removing quotes from variant names. (scikit-learn#12113) DOC BaggingRegressor missing default value for oob_score in docstring (scikit-learn#12108) [MRG] MNT Re-enable PyPy CI (scikit-learn#12039) MNT Only checks warnings on latest depedendencies versions in CI (scikit-learn#12048) TST Ignore warnings in common test to avoid collection errors (scikit-learn#12093) ...
* dfsg: (77 commits) ColumnTransformer generalization to work on empty lists (scikit-learn#12084) add sparse_threshold to make_columns_transformer (scikit-learn#12152) [MRG] Convert ColumnTransformer input list to numpy array (scikit-learn#12104) Change version to 0.20.0 BUG: check equality instead of identity in check_cv (scikit-learn#12155) [MRG] Fix FutureWarnings in logistic regression examples (scikit-learn#12114) [MRG] Update test_metaestimators to pass y parameter when calling score (scikit-learn#12089) DOC Removed duplicated doc in tree.rst (scikit-learn#11922) [MRG] DOC covariance doctest examples (scikit-learn#12124) typo and formatting fixes in 0.20 doc (scikit-learn#11963) DOC Replaced the deprecated early_stopping parameter with n_iter_no_change. (scikit-learn#12133) [MRG +1] ColumnTransformer: store evaluated function column specifier during fit (scikit-learn#12107) Fix typo (scikit-learn#12126) DOC Typo in OneHotEncoder DOC Update fit_transform docstring of OneHotEncoder (scikit-learn#12117) DOC Removing quotes from variant names. (scikit-learn#12113) DOC BaggingRegressor missing default value for oob_score in docstring (scikit-learn#12108) [MRG] MNT Re-enable PyPy CI (scikit-learn#12039) MNT Only checks warnings on latest depedendencies versions in CI (scikit-learn#12048) TST Ignore warnings in common test to avoid collection errors (scikit-learn#12093) ...
See #3846
Adds examples to all
sklearn/covarianceclasses except the ones being handled in PR #11732