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Kernel Density Estimation — scikit-learn ...
logspace ( - 1 , 1 , 20 )} grid = GridSearchCV...new_data . reshape (( 4 , 11 , - 1 )) real_data = digits . data [:...scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html -
DBFlute : Migration : 0.8.8.1
1} 環境上の注意点 Sql2Entityも一緒に *いつもの注意点...dbflute.seasar.org/ja/oldmigration/migrate-088to0881.html -
One-Class SVM versus One-Class SVM using Stocha...
reshape ( - 1 , 1 ), yy . ravel () . reshape ( - 1 , 1 )], axis...reshape ( - 1 , 1 ), yy . ravel () . reshape ( - 1 , 1 )], axis...scikit-learn.org/stable/auto_examples/linear_model/plot_sgdocsvm_vs_ocsvm.html -
ハンズオン セクション 1 | DBFlute
Author's Blog (旧ページ)ハンズオン セクション 1 ページが移動しました ページが移動しました 絶賛ハンズオンリファクタリング中です。...絶賛ハンズオンリファクタリング中です。 ハンズオントレーニング Section 1 アーキテクトのチュートリアル 必要な知識 開発時にやるべきこと...dbflute.seasar.org/ja/tutorial/handson/phase1/hands-on01.html -
SVM with custom kernel — scikit-learn 1.8...
T (0 1) """ M = np . array...array ([[ 2 , 0 ], [ 0 , 1.0 ]]) return np . dot ( np . dot (...scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html -
sklearn.feature_selection — scikit-learn ...
Feature selection algorithms. These include univariate filter selection methods and the recursive feature elimination algorithm. User guide. See the Feature selection section for further details.scikit-learn.org/stable/api/sklearn.feature_selection.html -
sklearn.model_selection — scikit-learn 1....
Tools for model selection, such as cross validation and hyper-parameter tuning. User guide. See the Cross-validation: evaluating estimator performance, Tuning the hyper-parameters of an estimator, ...scikit-learn.org/stable/api/sklearn.model_selection.html -
sklearn.experimental — scikit-learn 1.8.0...
Importable modules that enable the use of experimental features or estimators.scikit-learn.org/stable/api/sklearn.experimental.html -
sklearn.neural_network — scikit-learn 1.8...
Models based on neural networks. User guide. See the Neural network models (supervised) and Neural network models (unsupervised) sections for further details.scikit-learn.org/stable/api/sklearn.neural_network.html -
sklearn.metrics — scikit-learn 1.8.0 docu...
Score functions, performance metrics, pairwise metrics and distance computations. User guide. See the Metrics and scoring: quantifying the quality of predictions and Pairwise metrics, Affinities an...scikit-learn.org/stable/api/sklearn.metrics.html