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[MRG + 1] Labels of clustering should start at 0 or -1 if noise #10015
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[MRG + 1] Labels of clustering should start at 0 or -1 if noise #10015
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sklearn/utils/estimator_checks.py
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assert_greater_equal(pred_sorted[0], -1) | ||
# labels_ should be less than n_clusters - 1 | ||
# Labels are expected to start at 0 (no noise) or -1 (if noise) | ||
assert_true((labels_sorted[0] == -1) or (labels_sorted[0] == 0)) |
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assert_true(labels_sorted[0] in [0, 1])
besides LGTM |
sklearn/utils/estimator_checks.py
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assert_greater_equal(pred_sorted[0], -1) | ||
# labels_ should be less than n_clusters - 1 | ||
# Labels are expected to start at 0 (no noise) or -1 (if noise) | ||
assert_true(labels_sorted[0] in [0, 1]) |
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assert_true(labels_sorted[0] in [0, -1])
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Interestingly, Travis does not fail
thanks @TomDLT ! I added noise to the dataset to make the test fail with [0, 1]. |
lgtm |
LGTM, waiting for appveyor before merging |
Might deserve a what's new for any clusterer developers. Maybe we should consider a what's new section Judy for estimator checks |
thx @albertcthomas |
…cs/donigian-update-contribution-guidelines * 'master' of github.com:scikit-learn/scikit-learn: (23 commits) fixes scikit-learn#10031: fix attribute name and shape in documentation (scikit-learn#10033) [MRG+1] add changelog entry for fixed and merged PR scikit-learn#10005 issue scikit-learn#9633 (scikit-learn#10025) [MRG] Fix LogisticRegression see also should include LogisticRegressionCV(scikit-learn#9995) (scikit-learn#10022) [MRG + 1] Labels of clustering should start at 0 or -1 if noise (scikit-learn#10015) MAINT Remove redundancy in scikit-learn#9552 (scikit-learn#9573) [MRG+1] correct comparison in GaussianNB for 'priors' (scikit-learn#10005) [MRG + 1] ENH add check_inverse in FunctionTransformer (scikit-learn#9399) [MRG] FIX bug in nested set_params usage (scikit-learn#9999) [MRG+1] Fix LOF and Isolation benchmarks (scikit-learn#9798) [MRG + 1] Fix negative inputs checking in mean_squared_log_error (scikit-learn#9968) DOC Fix typo (scikit-learn#9996) DOC Fix typo: x axis -> y axis (scikit-learn#9985) improve example plot_forest_iris.py (scikit-learn#9989) [MRG+1] Deprecate pooling_func unused parameter in AgglomerativeClustering (scikit-learn#9875) DOC update news DOC Fix three typos in manifold documentation (scikit-learn#9990) DOC add missing dot in docstring DOC Add what's new for 0.19.1 (scikit-learn#9983) Improve readability of outlier detection example. (scikit-learn#9973) DOC: Fixed typo (scikit-learn#9977) ...
…it-learn#10015) * test labels of clustering should start at 0 or -1 if noise * take into account agramfort's comment * fix test
…it-learn#10015) * test labels of clustering should start at 0 or -1 if noise * take into account agramfort's comment * fix test
Reference Issues/PRs
Addresses comments in PR #1984 about the first value of the clustering labels. It should start at 0 or -1 (if noise) for consistency.
What does this implement/fix? Explain your changes.
This adds a common test ensuring this behavior.