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Out-of-core classification of text documents — ...
write ( " \r downloaded %s / %s " % ( current_sz_mb , total_sz_mb...[ "t0" ] s = " %20s classifier : \t " % cls_name s += " %(n_train)6d...scikit-learn.org/stable/auto_examples/applications/plot_out_of_core_classification.html -
Blind source separation using FastICA — scikit-...
normal ( size = S . shape ) # Add noise S /= S . std ( axis =...saw tooth signal S = np . c_ [ s1 , s2 , s3 ] S += 0.2 * np . random...scikit-learn.org/stable/auto_examples/decomposition/plot_ica_blind_source_separation.html -
bootstrap.js
s=e.elements[t];S(s)&&x(s)&&(Object.assign(s.style,i...i=t.x,n=t.y,s=e.devicePixelRatio||1;return{x:M(i*s)/s||0,y:M(n*s)/s|...scikit-learn.org/stable/_static/scripts/bootstrap.js -
plot_multi_metric_evaluation.zip
label="%s (%s)" % (scorer, sample), ) best_index...\"test\" else 0.7,\n label=\"%s (%s)\" % (scorer, sample),\n )\n\n...scikit-learn.org/stable/_downloads/535778bfbc9b4881da3e662bc2ea8484/plot_multi_metric_evaluation.zip -
ConvertingComparator (Spring Framework 7.0.5 API)
vertingComparator<S, T> Type Parameters: S - the source type...Comparator <S> public class ConvertingComparator<S, T extends...docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/core/convert/convert... -
social.rss
jp/entry/s/b.hatena.ne.jp/entry/s/anond.hatelabo.jp/20260223141436...atena.ne.jp/entry/s/b.hatena.ne.jp/entry/s/anond.hatelabo.jp/20260223141436...b.hatena.ne.jp/entrylist/social.rss -
Ray Security cuts data risk by 90% with Elastic...
and Ray Security Platform's enhanced detection accuracy and...Cybersecurity innovator uses Elastic's vector search to power its AI...www.elastic.co/customers/raysecurity -
economics.rss
jp/entry/s/togetter.com/li/2670134 https://s.tgstc.com/og...https://b.hatena.ne.jp/entry/s/togetter.com/li/2670145 https://s.tgstc.com/og...b.hatena.ne.jp/hotentry/economics.rss -
Demonstration of multi-metric evaluation on cro...
sample_score_mean = results [ "mean_ %s _ %s " % ( sample , scorer )] sample_score_std...sample_score_std = results [ "std_ %s _ %s " % ( sample , scorer )] ax...scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html -
One-class SVM with non-linear kernel (RBF) — sc...
s = s , edgecolors = "k" ) b2 = ax...[:, 1 ], c = "blueviolet" , s = s , edgecolors = "k" ) c = ax...scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html