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classification_report — scikit-learn 1.7.2 docu...
2 , 2 , 2 ] >>> y_pred = [ 0 , 0 , 2 , 2 , 1 ] >>>...sample_weight = None , digits = 2 , output_dict = False , zero_division...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html -
範囲指定検索
時間の範囲指定検索をするためには、「last_modified:[日時1 TO 日時2]」(日時1＜日時2) を検索フォームに入力します。 日時はISO 8601を基準にしています。...たとえば、last_modified フィールドに対して、2016年2月21日20時(現在日時とする)から30日前までに更新された...fess.codelibs.org/ja/15.3/user/search-range.html -
アンインストール手順
2 ステップ 2: OpenSearch の削除 OpenSearch...rm -rf /path/to/opensearch-3.3.2 ステップ 3: データディレクトリの削除（オプション） デフォルトでは、データディレクトリは...fess.codelibs.org/ja/15.3/install/uninstall.html -
Classification of text documents using sparse f...
(training set) 1353 documents - 2.87MB (test set) 4 categories vectorize...= RidgeClassifier ( tol = 1e-2 , solver = "sparse_cg" ) clf ....scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html -
Balance model complexity and cross-validated sc...
performance (best score - 1 std) 2. best_low_complexity : Selects...Dimensionality reduction using PCA 2. Classification using LogisticRegression...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_refit_callable.html -
StratifiedGroupKFold — scikit-learn 1.7.2 docum...
index=[ 0 1 2 3 15 16] group=[1 1 2 2 8 8] Fold 2: Train: index=[...index=[ 0 1 2 3 7 8 9 10 11 15 16] group=[1 1 2 2 4 5 5 5 5 8...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
shuffle — scikit-learn 1.7.2 documentation
2)> >>> X_sparse . toarray () array([[0., 0.], [2., 1.],...y array([2, 1, 0]) >>> shuffle ( y , n_samples = 2 , random_state...scikit-learn.org/stable/modules/generated/sklearn.utils.shuffle.html -
Multiclass Receiver Operating Characteristic (R...
This can be done in 2 different ways: the One-vs-Rest...linearly separable from the other 2; the latter are not linearly separable...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
KMeans — scikit-learn 1.7.2 documentation
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ], [ 10 , 4...cluster_centers_ array([[10., 2.], [ 1., 2.]]) For examples of common...scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html -
sklearn.cluster — scikit-learn 1.7.2 documentation
Popular unsupervised clustering algorithms. User guide. See the Clustering and Biclustering sections for further details.scikit-learn.org/stable/api/sklearn.cluster.html