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「第3弾 専用アプリで音声収集業務」の仕事依頼【ジョブハブ】
2018年1月10日(水)~2018年2月5日(月) ■納期 一次納品:2018年2月 5日(月) 最終納品:2018年2月15日(木) ■納品...最終納品日:2018年2月15日 単価:600円 ※最終納品日について、処理の関係上2018年2月15日を選択していただ...jobhub.jp/jobs/33232 -
One-Class SVM versus One-Class SVM using Stocha...
2 ) X_train = np . r_ [ X + 2 , X - 2 ] # Generate...randn ( 20 , 2 ) X_test = np . r_ [ X + 2 , X - 2 ] # Generate...scikit-learn.org/stable/auto_examples/linear_model/plot_sgdocsvm_vs_ocsvm.html -
1.13. Feature selection — scikit-learn 1.6.0 do...
2. Univariate feature selection...SelectKBest ( f_classif , k = 2 ) . fit_transform ( X , y ) >>>...scikit-learn.org/stable/modules/feature_selection.html -
gen_batches — scikit-learn 1.6.0 documentation
list ( gen_batches ( 2 , 3 )) [slice(0, 2, None)] >>> list ( gen_batches...gen_batches ( 7 , 3 , min_batch_size = 2 )) [slice(0, 3, None), slice(3,...scikit-learn.org/stable/modules/generated/sklearn.utils.gen_batches.html -
Displaying estimators and complex pipelines — s...
('pipeline-2', Pipeline(steps=[('simpleimputer',...('feat1', 'feat3')), ('pipeline-2', Pipeline(steps=[('simpleimputer',...scikit-learn.org/stable/auto_examples/miscellaneous/plot_estimator_representation.html -
Robust linear estimator fitting — scikit-learn ...
2 ) plt . ylim ( - 2 , 10.2 ) plt . title ( title...time of the script: (0 minutes 2.105 seconds) Download Jupyter...scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html -
ward_tree — scikit-learn 1.6.0 documentation
s)^2 + \frac{|v|+|t|} {T}d(v,t)^2 - \frac{|v|} {T}d(s,t)^2}\]...array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 4...scikit-learn.org/stable/modules/generated/sklearn.cluster.ward_tree.html -
mean_variance_axis — scikit-learn 1.6.0 documen...
2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5 ]) >>>...>>> scale = np . array ([ 2 , 3 , 2 ]) >>> csr = sparse . csr_matrix...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html -
ParameterGrid — scikit-learn 1.6.0 documentation
{ 'a' : 2 , 'b' : True }, { 'a' : 2 , 'b' : False }])...>>> param_grid = { 'a' : [ 1 , 2 ], 'b' : [ True , False ]} >>>...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html -
make_friedman3 — scikit-learn 1.6.0 documentation
in Friedman [1] and Breiman [2]. Inputs X are 4 independent features...1 ] <= 560 * pi , 0 <= X [:, 2 ] <= 1 , 1 <= X [:, 3 ] <= 11....scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman3.html