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max_error — scikit-learn 1.7.1 documentation
1 ] >>> y_pred = [ 4 , 2 , 7 , 1 ] >>> max_error...max_error ( y_true , y_pred ) 1.0 On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.metrics.max_error.html -
Species distribution modeling — scikit-learn 1....
subplot ( 1 , 2 , i + 1 ) if basemap : print ( "...Returns ------- (xgrid, ygrid) : 1-D arrays The grid corresponding...scikit-learn.org/stable/auto_examples/applications/plot_species_distribution_modeling.html -
Hierarchical clustering: structured vs unstruct...
1 ] *= 0.5 Compute clustering #...set_position ([ 0 , 0 , 0.95 , 1 ]) for l in np . unique ( label...scikit-learn.org/stable/auto_examples/cluster/plot_ward_structured_vs_unstructured.html -
Clustering text documents using k-means — sciki...
assigned to each cluster: [ 1 1 1 3384] Number of elements assigned...n_features: { X_tfidf . shape [ 1 ] } " ) vectorization done in...scikit-learn.org/stable/auto_examples/text/plot_document_clustering.html -
8.4. Loading other datasets — scikit-learn 1.7....
1. Sample images # Scikit-learn...forget to scale to the range 0 - 1 as done in the following example....scikit-learn.org/stable/datasets/loading_other_datasets.html -
Kernel Density Estimation — scikit-learn 1.7.1 ...
logspace ( - 1 , 1 , 20 )} grid = GridSearchCV...new_data . reshape (( 4 , 11 , - 1 )) real_data = digits . data [:...scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html -
load_diabetes — scikit-learn 1.7.1 documentation
Added in version 1.1. Returns : data Bunch Dictionary-like...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 On this...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_diabetes.html -
Univariate Feature Selection — scikit-learn 1.7...
shape [ - 1 ]) plt . figure ( 1 ) plt . clf () plt ....RandomState ( 42 ) . uniform ( 0 , 0.1 , size = ( X . shape [ 0 ], 20...scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection.html -
SVM with custom kernel — scikit-learn 1.7.1 doc...
T (0 1) """ M = np . array ([[ 2 , 0 ], [ 0 , 1.0 ]]) return.... scatter ( X [:, 0 ], X [:, 1 ], c = Y , cmap = plt . cm . Paired...scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html -
MNIST classification using multinomial logistic...
version = 1 , return_X_y = True , as_frame...reshape (( X . shape [ 0 ], - 1 )) X_train , X_test , y_train...scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html