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prism-toolbar.css
position: absolute; z-index: 10; top: .3em; right: .2em; transition:...fess.codelibs.org/ja/_static/assets/vendor/prismjs/plugins/toolbar/prism-toolbar.css -
plot_discretization_strategies.py
n_samples // 10, n_samples * 4 // 10, n_samples // 10, n_samples...n_samples * 4 // 10, ], cluster_std=0.5, centers=centers_0, random_state=random_state,...scikit-learn.org/stable/_downloads/43e84df0b93ff974da370e8da900f2ee/plot_discretization_strategie... -
plot_release_highlights_1_5_0.py
make_classification(n_samples=10_000, weights=[0.9, 0.1], random_state=0)...make_low_rank_matrix( n_samples=10_000, n_features=100, tail_strength=0.1,...scikit-learn.org/stable/_downloads/ba0cfc16d7953e1c2c6912b6beca1e91/plot_release_highlights_1_5_0.py -
plot_kmeans_digits.ipynb
\n zorder=10,\n)\nplt.title(\n \"K-means clustering...scikit-learn.org/stable/_downloads/6bf322ce1724c13e6e0f8f719ebd253c/plot_kmeans_digits.ipynb -
plot_discretization_strategies.ipynb
n_samples // 10,\n n_samples * 4 // 10,\n n_samples // 10,\n n_samples...n_samples * 4 // 10,\n ],\n cluster_std=0.5,\n centers=centers_0,\n...scikit-learn.org/stable/_downloads/adc9be3b7acc279025dad9ee4ce92038/plot_discretization_strategie... -
sg_gallery.css
--sg-tooltip-background: rgba(10, 10, 10, 0.9); --sg-tooltip-border:...--sg-tooltip-background: rgba(10, 10, 10, 0.9); --sg-tooltip-border:...scikit-learn.org/stable/_static/sg_gallery.css -
plot_release_highlights_1_4_0.py
sin(10 * np.pi * X[:, 0]) - noise rf_no_cst...e(7) groups = rng.randint(0, 10, size=n_samples) sample_weights...scikit-learn.org/stable/_downloads/c15cce0dbcd8722cb5638987eff985c0/plot_release_highlights_1_4_0.py -
pydata-sphinx-theme.js
10);return isNaN(t)?e:t},s=(e,t...etItem("sidebar-scroll-top"),10);if(isNaN(t)){var n=document...scikit-learn.org/stable/_static/scripts/pydata-sphinx-theme.js -
plot_multi_metric_evaluation.py
datasets import make_hastie_10_2 from sklearn.metrics import...---------- # X, y = make_hastie_10_2(n_samples=8000, random_state=42)...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
plot_classifier_comparison.py
n_estimators=10, max_features=1, random_state=42...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py