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Comparison between grid search and successive h...
1e-2 , 1e-3 , 1e-4 , 1e-5 , 1e-6 ,...param_grid = param_grid , factor = 2 , random_state = rng ) gsh . fit...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_heatmap.html -
Post-tuning the decision threshold for cost-sen...
# (2) in Elkan paper [2]_. gain_matrix = np...metric" , ) axs [ 2 ] . legend () axs [ 2 ] . set_xlabel ( "Decision...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html -
大味なコード補完 | DBFlute
実体(右辺)のセミコロンの右側にカーソルが置いてある状態で、 ctrl + 2 (Macは command + 2)を押した後(0.x秒)、 L を押します。...セミコロンの右側にカーソル置いて ctrl (or command) + 2 and L to MemberCB cb = new MemberCB();...dbflute.seasar.org/ja/manual/topic/programming/completion/bigcomp.html -
DBFlute with Jakarta | DBFlute
2.7) DBFluteをJakartaに まず必要かどうか？...DBFlute が自動生成しないようにしているので (@since 1.2.7) 、この後に紹介するプロパティを使わなくても利用できるかもしれません。...dbflute.seasar.org/ja/tutorial/dbkarta.html -
Elastic Observability Labs
Assistant Show more Filter Articles 2 October 2024 OpenTelemetry APM...this blog post. Pawel Filipczak 2 September 2024 OpenTelemetry APM...www.elastic.co/observability-labs/blog/tag/apm -
Elastic Observability Labs
Assistant Show more Filter Articles 2 October 2024 OpenTelemetry APM...Shirazi Jonas Kunz Sylvain Juge 2 September 2024 OpenTelemetry APM...www.elastic.co/observability-labs/blog/tag/instrumentation -
SVM Tie Breaking Example — scikit-learn 1.6.0 d...
2 ), ( 1 , 2 )] line = np . linspace...fig , sub = plt . subplots ( 2 , 1 , figsize = ( 5 , 8 )) titles...scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html -
emecha-DfAssist-derivedprop.png
2"> <rdf:RDF xmlns:rdf="http...xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 5.1.2"> <rdf:RDF xmlns:rdf="http...dbflute.seasar.org/ja/data/model/emecha/emecha-DfAssist-derivedprop.png -
SGD: convex loss functions — scikit-learn 1.6.0...
] = ( 1 - z [ z >= - 1 ]) ** 2 loss [ z >= 1.0 ] = 0 return loss...linspace ( xmin , xmax , 100 ) lw = 2 plt . plot ([ xmin , 0 , 0 , xmax...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html -
LabelBinarizer — scikit-learn 1.6.0 documentation
2 , 6 , 4 , 2 ]) LabelBinarizer() >>>...array([0, 1, 2]) >>> lb . transform ([ 0 , 1 , 2 , 1 ]) array([[1,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html
