[MRG] Improve readability of outlier detection example.#9973
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agramfort merged 1 commit intoscikit-learn:masterfrom Oct 24, 2017
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[MRG] Improve readability of outlier detection example.#9973agramfort merged 1 commit intoscikit-learn:masterfrom
agramfort merged 1 commit intoscikit-learn:masterfrom
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jnothman
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| # Compare given classifiers under given settings | ||
| xx, yy = np.meshgrid(np.linspace(-7, 7, 100), np.linspace(-7, 7, 100)) | ||
| n_inliers = int((1. - outliers_fraction) * n_samples) | ||
| xx, yy = np.meshgrid(np.linspace(-7, 7, n_samples / 2), |
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| xx, yy = np.meshgrid(np.linspace(-7, 7, 100), np.linspace(-7, 7, 100)) | ||
| n_inliers = int((1. - outliers_fraction) * n_samples) | ||
| xx, yy = np.meshgrid(np.linspace(-7, 7, n_samples // 2), | ||
| np.linspace(-7, 7, n_samples // 2)) |
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It's not clear to me why the precision of the grid should be related to the number of samples.
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Yes, thanks - that was just my being confused. I've now introduced a GRID_PRECISION constant instead.
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thx @hristog |
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…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) ...
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What does this implement/fix? Explain your changes.
Improves readability of the outlier detection example.
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