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Manifold Learning methods on a severed sphere —...
68 sec modified: 1.3 sec ISO: 0.19 sec MDS: 0.78...trans_data [ 0 ], trans_data [ 1 ], c = colors , cmap = plt . cm...scikit-learn.org/stable/auto_examples/manifold/plot_manifold_sphere.html -
Categorical Feature Support in Gradient Boostin...
will need 4 splits: 1 split to isolate A , 1 split to isolate F...include = "number" ) . shape [ 1 ] print ( f "Number of samples:...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_categorical.html -
Demonstration of k-means assumptions — scikit-l...
axs [ 1 , 0 ] . set_title ( "Unequal Variance" ) axs [ 1 , 1 ] ....X_filtered [:, 1 ], c = y_filtered ) axs [ 1 , 1 ] . set_title...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html -
load_svmlight_files — scikit-learn 1.7.2 docume...
shape[1] == X_test.shape[1]). This may not be the...query_id=False , offset=0 , length=-1 ) [source] # Load dataset from...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_files.html -
add_dummy_feature — scikit-learn 1.7.2 document...
1 ], [ 1 , 0 ]]) array([[1., 0., 1.], [1., 1., 0.]])...add_dummy_feature ( X , value = 1.0 ) [source] # Augment dataset...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.add_dummy_feature.html -
non_negative_factorization — scikit-learn 1.7.2...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...n\_samples * ||vec(H)||_1\\ &+ 0.5 * alpha\_W * (1 - l1\_ratio) * n\_features...scikit-learn.org/stable/modules/generated/sklearn.decomposition.non_negative_factorization.html -
Kernel Density Estimate of Species Distribution...
subplot ( 1 , 2 , i + 1 ) # construct a kernel density...Returns ------- (xgrid, ygrid) : 1-D arrays The grid corresponding...scikit-learn.org/stable/auto_examples/neighbors/plot_species_kde.html -
Recognizing hand-written digits — scikit-learn ...
0 0 0 1 0 0 0 0 0] [ 0 88 1 0 0 0 0 0 1 1] [ 0 0 85 1 0 0 0 0...0 0 88 1 0 0 2] [ 0 1 0 0 0 0 90 0 0 0] [ 0 0 0 0 0 1 0 88 0...scikit-learn.org/stable/auto_examples/classification/plot_digits_classification.html -
pair_confusion_matrix — scikit-learn 1.7.2 docu...
1 , 1 ], [ 1 , 1 , 0 , 0 ]) array([[8,...pair_confusion_matrix ([ 0 , 0 , 1 , 2 ], [ 0 , 0 , 1 , 1 ]) array([[8, 2],...scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.pair_confusion_matrix.html -
Ridge coefficients as a function of the L2 Regu...
random_state = 1 ) # Obtain the true coefficients...fig , axs = plt . subplots ( 1 , 2 , figsize = ( 20 , 6 )) coefs...scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_coeffs.html