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移行 1.0.4H to 1.0.4J | DBFlute
dbflute.seasar.org/ja/environment/upgrade/migration/migrate104Hto104J.html -
silhouette_score — scikit-learn 1.7.2 doc...
The best value is 1 and the worst value is -1. Values near 0 indicate...<= n_labels <= n_samples - 1 . This function returns the mean...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html -
FeatureUnion — scikit-learn 1.7.2 documen...
svd__n_components = 1 ) . fit_transform ( X ) array([[-1.5 , 3.04], [ 1.5 , 5.72]])...unchanged. Added in version 1.1: Added the option "passthrough"...scikit-learn.org/stable/modules/generated/sklearn.pipeline.FeatureUnion.html -
Release Highlights for scikit-learn 1.5 —...
array([[-1.1, 1.1, 1.1], [ 3.9, -1.2, 1.1], [ 0.1, 1.3, 1.1], [-0.1,...[-0.1, -1.4, -1.4], [-4.9, 1.5, -1.5], [ 0.1, 1.6, 1.6]]) Pairwise...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html -
Elasticsearch for Apache Hadoop version 8.1.1 |...
1.1 ES-Hadoop 8.1.1 is a version compatibility...Elasticsearch 8.1.1. « Elasticsearch for Apache Hadoop version 8.1.2 Elasticsearch...www.elastic.co/guide/en/elasticsearch/hadoop/8.19/eshadoop-8.1.1.html -
CountVectorizer — scikit-learn 1.7.2 docu...
[[0 1 1 1 0 0 1 0 1] [0 2 0 1 0 1 1 0 1] [1 0 0 1 1 0 1 1 1] [0...[[0 0 1 1 0 0 1 0 0 0 0 1 0] [0 1 0 1 0 1 0 1 0 0 1 0 0] [1 0 0...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html -
completeness_score — scikit-learn 1.7.2 d...
1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Non-perfect labelings...completeness_score ([ 0 , 0 , 1 , 1 ], [ 0 , 1 , 0 , 1 ])) 0.0 >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.completeness_score.html -
Matern — scikit-learn 1.7.2 documentation
kernel = 1.0 * Matern ( length_scale = 1.0 , nu = 1.5 ) >>>...length_scale = 1.0 , length_scale_bounds = (1e-05, 100000.0) , nu = 1.5 )...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
brier_score_loss — scikit-learn 1.7.2 doc...
y_true in {-1, 1} or {0, 1}, pos_label defaults to 1; else if y_true...defined as: \[\frac{1}{N}\sum_{i=1}^{N}\sum_{c=1}^{C}(y_{ic} - \hat{p}_{ic})^{2}\]...scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html -
LabelBinarizer — scikit-learn 1.7.2 docum...
array([[1, 0, 0], [0, 1, 0], [0, 0, 1], [0, 1, 0]]) fit ( y )...fit ( np . array ([[ 0 , 1 , 1 ], [ 1 , 0 , 0 ]])) LabelBinarizer()...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html