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Pipeline — scikit-learn 1.5.0 documentation
the pipeline must be ‘transforms’, that is, they must implement...all steps must define fit . All non-last steps must also define...scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html -
grid_to_graph — scikit-learn 1.5.0 documentation
mask = mask ) >>> print ( graph ) (0,...grid_to_graph ( n_x , n_y , n_z=1 , * , mask=None , return_as=<class 'sc...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.grid_to_graph.html -
BayesianGaussianMixture — scikit-learn 1.5.0 do...
Must be one of: 'full' ( each component...and the covariances. String must be one of: ‘kmeans’ : responsibilities...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
Glossary of Common Terms and API Elements — sci...
and must do so if it is transductive . A clusterer must implement:...attributes after fitting, and that we must be careful to make meta-estimators...scikit-learn.org/stable/glossary.html -
roc_auc_score — scikit-learn 1.5.0 documentation
The probability estimates must sum to 1 across the possible...the order of the class scores must correspond to the order of labels...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
Semi-supervised Classification on a Text Datase...
# select a mask of 20% of the train dataset y_mask = np . random...the non-masked subset to be unlabeled y_train [ ~ y_mask ] = -...scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.html -
Multiclass Receiver Operating Characteristic (R...
= a_mask [ ab_mask ] b_true = b_mask [ ab_mask ] idx_a = np ....label_b ab_mask = np . logical_or ( a_mask , b_mask ) a_true =...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
HDBSCAN — scikit-learn 1.5.0 documentation
it must be one of the options allowed...to be a distance matrix and must be square. metric_params dict,...scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html -
DistanceMetric — scikit-learn 1.5.0 documentation
the distance must be a true metric: i.e. it must satisfy the following...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html -
SVC — scikit-learn 1.5.0 documentation
Must be strictly positive. The penalty...polynomial kernel function (‘poly’). Must be non-negative. Ignored by...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html