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Comparing Target Encoder with Other Encoders — ...
scikit-learn 1.4 Release Highlights for scikit-learn 1.4 Gallery...points price province region_1 region_2 variety winery 0 US This...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html -
Selecting dimensionality reduction with Pipelin...
n_jobs=1, param_grid=[{'classify__C': [1, 10, 100, 1000],...= [ 2 , 4 , 8 ] C_OPTIONS = [ 1 , 10 , 100 , 1000 ] param_grid...scikit-learn.org/stable/auto_examples/compose/plot_compare_reduction.html -
d2_pinball_score — scikit-learn 1.7.2 documenta...
Added in version 1.1. Parameters : y_true array-like...d2_pinball_score >>> y_true = [ 1 , 2 , 3 ] >>> y_pred = [ 1 , 3 , 3 ] >>> d2_pinball_score...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_pinball_score.html -
paired_euclidean_distances — scikit-learn 1.7.2...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...paired_euclidean_distances ( X , Y ) array([1., 1.]) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_euclidean_distances.html -
LatentDirichletAllocation — scikit-learn 1.7.2 ...
evaluate_every = -1 , total_samples = 1000000.0 , perp_tol = 0.1 , mean_change_tol...None, defaults to 1 / n_components . In [1] , this is called...scikit-learn.org/stable/modules/generated/sklearn.decomposition.LatentDirichletAllocation.html -
APIヘルプ (DBFlute Maven Plugin 1.0.0 API)
メソッドの詳細 各概要エントリには、その項目の詳細な説明の中から1行目の文が表示されます。詳細な説明はソース・コードに現れる順...dbflute.seasar.org/maven/plugin/apidocs/help-doc.html -
Exponentiation — scikit-learn 1.7.2 documentation
predict ( X [: 1 ,:], return_std = True ) (array([635.5]),...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Exponentiation.html -
mean_variance_axis — scikit-learn 1.7.2 documen...
1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5 ])...of CSR or CSC format. axis {0, 1} Axis along which the axis should...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html -
TfidfVectorizer — scikit-learn 1.7.2 documentation
ngram_range=(1 , 1) , max_df=1.0 , min_df=1 , max_features=None...ngram_range of (1, 1) means only unigrams, (1, 2) means unigrams...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html -
GaussianNB — scikit-learn 1.7.2 documentation
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> Y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html