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plot_pca_iris.ipynb
1].mean() + 1.5,\n X[y == label, 2].mean(),\n...np.choose(y, [1, 2, 0]).astype(float)\nax.scatter(X[:, 0], X[:, 1], X[:,...scikit-learn.org/stable/_downloads/46b6a23d83637bf0f381ce9d8c528aa2/plot_pca_iris.ipynb -
colors.css
--sk-cyan-tint-1: #4bb4e5; --sk-cyan: #29abe2; --sk-cyan-shades-1: #2294c4;...--sk-orange-tint-1: #f99f44; --sk-orange: #f7931e; --sk-orange-shades-1: #d77f19;...scikit-learn.org/dev/_static/styles/colors.css -
sg_gallery.css
sphinx themes Tested for Sphinx 1.3.1 for all themes: default, alabaster,...--sg-download-a-hover-box-shadow-1: rgba(255, 255, 255, 0.1); --sg-download-...scikit-learn.org/dev/_static/sg_gallery.css -
タイトル
Shinsuke Sugaya Shinsuke Sugaya 1 2009-06-26T21:41:00Z 2014-07-05T01:08:00Z...Normal.dotm タイトル 1800000000 タグ 1...raw.githubusercontent.com/codelibs/fess-testdata/master/msoffice/test.doc -
plot_multi_metric_evaluation.py
1) # Get the regular numpy array...sample_score_mean + sample_score_std, alpha=0.1 if sample == "test" else 0, color=color,...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
custom.css
font-weight: 500; margin-bottom: 1.5rem; } .bd-article img { height:...height: unset !important; padding: 1%; } .bd-article li.toctree-l1...scikit-learn.org/stable/_static/styles/custom.css -
slashdotMain
org/dc/elements/1.1/ http://purl.org/rss/1.0/modules/slash/...1.0 ISO-8859-1 http://www.w3.org/1999/02/22-rdf-syntax-ns# h...rss.slashdot.org/Slashdot/slashdotMain -
pydata-sphinx-theme.css
h3:1.75rem;--pst-font-size-h4:1.5rem;--pst-font-size-h5:1.25...ze-mobile:1.1rem;--pst-sidebar-header-font-size:1.2rem;--pst...scikit-learn.org/stable/_static/styles/pydata-sphinx-theme.css -
feed.xml
confidence intervals: $$1 - 1/(dimensions+1)$$ and $$1-(dimensions/10)/(dimensions...1.0 utf-8 2.0 http://purl.org/dc/elements/1.1/ http://purl.o...www.elastic.co/search-labs/rss/feed.xml -
plot_discretization_strategies.ipynb
8]])\ncenters_1 = np.array([[0, 0], [3, 1]])\n\n# construct...len(strategies) + 1, i)\n ax.scatter(X[:, 0], X[:, 1], edgecolors=\"k\")\n...scikit-learn.org/stable/_downloads/adc9be3b7acc279025dad9ee4ce92038/plot_discretization_strategie...