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Lasso on dense and sparse data — scikit-learn 1...
values lower than 2.5 with 0s Xs [ Xs < 2.5 ] = 0.0 # create...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html -
inplace_swap_row — scikit-learn 1.7.2 documenta...
2 , 3 , 3 , 3 ]) >>> indices = np . array ([ 0 , 2 , 2 ])...>>> data = np . array ([ 8 , 2 , 5 ]) >>> csr = sparse . csr_matrix...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_row.html -
Fess で作るエンタープライズサーチ環境 〜 導入編
rg/ja/ 以下のページ群を10秒間隔の2スレッドでクロールして(10秒に2ページ程度をクロール)、100ページ程度を検索対象にします。...ja/.*、最大アクセス数 : 100 、スレッド数 : 2 、間隔 : 10000 ミリ秒 とし、他はデフォルトにします。...fess.codelibs.org/ja/articles/article-1.html -
mutual_info_regression — scikit-learn 1.7.2 doc...
[ 2 ] ( 1 , 2 ) A. Kraskov, H. Stogbauer...neighbors distances as described in [2] and [3] . Both methods are based...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html -
mutual_info_classif — scikit-learn 1.7.2 docume...
[ 2 ] ( 1 , 2 ) A. Kraskov, H. Stogbauer...neighbors distances as described in [2] and [3] . Both methods are based...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_classif.html -
learning_curve — scikit-learn 1.7.2 documentation
str can be an expression like ‘2*n_jobs’. verbose int, default=0...scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html -
non_negative_factorization — scikit-learn 1.7.2...
||H||_{Fro}^2,\end{aligned}\end{align} \] where \(||A||_{Fro}^2 = \sum_{i,j}...array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...scikit-learn.org/stable/modules/generated/sklearn.decomposition.non_negative_factorization.html -
Blind source separation using FastICA — scikit-...
# Signal 2 : square signal s3 = signal . sawtooth ( 2 * np . pi...1 , 1 ], [ 0.5 , 2 , 1.0 ], [ 1.5 , 1.0 , 2.0 ]]) # Mixing matrix...scikit-learn.org/stable/auto_examples/decomposition/plot_ica_blind_source_separation.html -
median_absolute_error — scikit-learn 1.7.2 docu...
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>> m...]] >>> y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8 , - 5 ]] >>> median_absolute_error...scikit-learn.org/stable/modules/generated/sklearn.metrics.median_absolute_error.html -
Compare Stochastic learning strategies for MLPC...
subplots ( 2 , 2 , figsize = ( 15 , 10 )) # load...0 , "learning_rate_init" : 0.2 , }, { "solver" : "sgd" , "learning_rate"...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_training_curves.html