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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 -
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 -
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 -
sitemap-news
com/schemas/sitemap-image/1.1 https://www.nbcnews.com/news...1.0 UTF-8 http://www.sitemaps.org/schemas/sitemap/0.9 http:/...www.nbcnews.com/sitemap/nbcnews/sitemap-news -
6be697e76203f74d.css
1.61,.7,1),right .25s cubic-bezier(.34,1.61,.7,1);fill:#343741}.euiSwitch...cubic-bezier(.34,1.61,.7,1),background-color .25s cubic-bezier(.34,1.61,.7,1),left...www.elastic.co/_next/static/css/6be697e76203f74d.css -
4d05fc063d4c73a5.css
ontentPromoItem__xic4U{flex:1 1}}@media(min-width:992px){.Co...ign:left;font-size:1.125rem;line-height:1.75rem;font-weight:...www.elastic.co/_next/static/css/4d05fc063d4c73a5.css -
179b6d9fc22f33fe.css
1,.22,1)}.FooterCTACards_footerCtaCards__69efo...:all .5s cubic-bezier(.19,1,.22,1)}.FooterCTACards_footerCtaCards__69efo...www.elastic.co/_next/static/css/179b6d9fc22f33fe.css -
873de304b9bd7a1b.css
;grid-template-areas:"box-1 box-1 box-2" "box-3 box-3 box-3"...ZGJG{0%{opacity:0}to{opacity:1}}@keyframes AccordionFAQ_move...www.elastic.co/_next/static/css/873de304b9bd7a1b.css -
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... -
plot_adaboost_regression.py
random_state=rng ) regr_1.fit(X, y) regr_2.fit(X, y) y_1 = regr_1.predict(X)...plt.plot(X, y_1, color=colors[1], label="n_estimators=1", linewidth=2)...scikit-learn.org/stable/_downloads/2da78c80da33b4e0d313b0a90b923ec8/plot_adaboost_regression.py