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Spectral clustering for image segmentation — sc...
mask = mask ) Take a decreasing function...np . full ( mask . shape , - 1.0 ) label_im [ mask ] = labels...scikit-learn.org/stable/auto_examples/cluster/plot_segmentation_toy.html -
Demo of DBSCAN clustering algorithm — scikit-le...
class_member_mask = labels == k xy = X [ class_member_mask & core_samples_mask...X [ class_member_mask & ~ core_samples_mask ] plt . plot ( xy...scikit-learn.org/stable/auto_examples/cluster/plot_dbscan.html -
RandomizedSearchCV — scikit-learn 1.5.0 documen...
'param_kernel' : masked_array ( data = [ 'rbf' , 'rbf' , 'rbf' ], mask = False...'param_gamma' : masked_array ( data = [ 0.1 0.2 0.3 ], mask = False ),...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html -
SelectorMixin — scikit-learn 1.5.0 documentation
def _get_support_mask ( self ): ... mask = np . zeros ( self...feature selection given a support mask This mixin provides a feature...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectorMixin.html -
GridSearchCV — scikit-learn 1.5.0 documentation
'param_gamma' : masked_array ( data = [ -- -- 0.1 0.2 ], mask = [ True...'param_degree' : masked_array ( data = [ 2.0 3.0 -- -- ], mask = [ False...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html -
Post-tuning the decision threshold for cost-sen...
fraudulent_refuse = ( mask_true_positive . sum () * 50 ) + amount [ mask_true_positive...y_true , y_pred , amount ): mask_true_positive = ( y_true ==...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html -
Plot classification probability — scikit-learn ...
scatter ( X [ mask_y_pred , 0 ], X [ mask_y_pred , 1 ], marker...predicted to belong to given class mask_y_pred = y_pred == label axes...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
SelectFpr — scikit-learn 1.5.0 documentation
input_features = None ) [source] # Mask feature names according to selected...array-like, then input_features must match feature_names_in_ if feature_names_in_...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFpr.html -
EllipticEnvelope — scikit-learn 1.5.0 documenta...
) A mask of the observations that have...ndarray of shape (n_samples,) A mask of the observations that have...scikit-learn.org/stable/modules/generated/sklearn.covariance.EllipticEnvelope.html -
HistGradientBoostingRegressor — scikit-learn 1....
quantile to be estimated and must be between 0 and 1. learning_rate...number of leaves for each tree. Must be strictly greater than 1....scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html