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CCA — scikit-learn 1.7.1 documentation
[[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ], [ 11.9 , 12.3...], [ 1. , 0. , 0. ], [ 2. , 2. , 2. ], [ 3. , 5. , 4. ]] >>> y...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.CCA.html -
TransformedTargetRegressor — scikit-learn 1.7.1...
reshape ( - 1 , 1 ) >>> y = np . exp ( 2 * X ) . ravel () >>> tt...tt . fit ( X , y ) TransformedTargetReg(...) >>> tt . score ( X...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
ColumnTransformer — scikit-learn 1.7.1 document...
len(transformers_)==len(transformers)+1 , otherwise len(transformers_)==len(transformers)...remainder = 'drop' , sparse_threshold = 0.3 , n_jobs = None , transformer_weights...scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html -
FeatureHasher — scikit-learn 1.7.1 documentation
, 0., 0., 0., 2.], [ 0., 0., 0., -2., -5., 0., 0., 0., 0., 0.]])...transform ( D ) >>> f . toarray () array([[ 0., 0., -4., -1., 0., 0.,...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html -
silhouette_samples — scikit-learn 1.7.1 documen...
fit_predict ( X ) >>> silhouette_samples ( X , labels ) array([...]) Gallery...sklearn.metrics. silhouette_samples ( X , labels , * , metric = 'euclidean'...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_samples.html -
SpectralEmbedding — scikit-learn 1.7.1 document...
affinity {‘nearest_neighbors’, ‘rbf’, ‘precomputed’, ‘precomput...{‘arpack’, ‘lobpcg’, ‘amg’}, default=None The eigenvalue decomposition...scikit-learn.org/stable/modules/generated/sklearn.manifold.SpectralEmbedding.html -
consensus_score — scikit-learn 1.7.1 documentation
metrics. consensus_score ( a , b , * , similarity = 'jaccard' ) [source]...consensus_score ( a , b , similarity = 'jaccard' ) 1.0 Gallery examples...scikit-learn.org/stable/modules/generated/sklearn.metrics.consensus_score.html -
LabelSpreading — scikit-learn 1.7.1 documentation
label_prop_model . fit ( iris . data , labels ) LabelSpreading(...) fit (...rand ( len ( iris . target )) < 0.3 >>> labels = np . copy ( iris...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelSpreading.html -
ElasticNetCV — scikit-learn 1.7.1 documentation
in [.1, .5, .7, .9, .95, .99, 1] . eps float, default=1e-3 Length...close to 1 (i.e. Lasso) and less close to 0 (i.e. Ridge), as in...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
SequentialFeatureSelector — scikit-learn 1.7.1 ...
"auto" . Added in version 1.1. direction {‘forward’, ‘backward’},...shape (150, 3) fit ( X , y = None , ** params ) [source] # Learn...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html