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sklearn.ensemble.HistGradientBoostingClassifier...
Must be strictly greater than 1....reserved for missing values. Must be no larger than 255. categorical_features...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html -
Compressive sensing: tomography reconstruction ...
logical_and ( mask > mask . mean (), mask_outer ) return np...list ( w [ mask ]) camera_inds += list ( inds [ mask ] + i * l_x...scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.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 -
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 -
Plotting Validation Curves — scikit-learn 1.4.2...
y = X [ subset_mask ], y [ subset_mask ] disp = ValidationCurveDispl...( return_X_y = True ) subset_mask = np . isin ( y , [ 1 , 2 ])...scikit-learn.org/stable/auto_examples/model_selection/plot_validation_curve.html -
sklearn.cluster.AgglomerativeClustering — sciki...
n_clusters must be None and compute_full_tree must be True . New...number of clusters to find. It must be None if distance_threshold...scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html -
sklearn.cluster.FeatureAgglomeration — scikit-l...
n_clusters must be None and compute_full_tree must be True . New...number of clusters to find. It must be None if distance_threshold...scikit-learn.org/stable/modules/generated/sklearn.cluster.FeatureAgglomeration.html -
sklearn.metrics.silhouette_samples — scikit-lea...
it must be one of the options allowed...Precomputed distance matrices must have 0 along the diagonal. **kwds...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_samples.html -
sklearn.preprocessing.FunctionTransformer — sci...
then it must take two positional arguments:...names ( input_features ). It must return an array-like of output...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html -
sklearn.feature_extraction.FeatureHasher — scik...
Feature values must be (finite) numbers. This class...input_type="string" , the input must be an iterable over iterables...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html