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make_friedman1 — scikit-learn 1.8.0 docum...
2 ] - 0.5 ) ** 2 + 10 * X [:, 3 ] + 5 *...in Friedman [1] and Breiman [2]. Inputs X are independent features...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman1.html -
StratifiedGroupKFold — scikit-learn 1.8.0...
index=[ 0 1 2 3 15 16] group=[1 1 2 2 8 8] Fold 2: Train: index=[...index=[ 0 1 2 3 7 8 9 10 11 15 16] group=[1 1 2 2 4 5 5 5 5 8...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
plot_classifier_comparison.py
make_classification( n_features=2, n_redundant=0, n_informative=2, random_state=1,...rng = np.random.RandomState(2) X += 2 * rng.uniform(size=X.shape)...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
all_estimators — scikit-learn 1.8.0 docum...
'tuple'> >>> estimators [: 2 ] [('ARDRegression', <class...) >>> classifiers [: 2 ] [('AdaBoostClassifier',...scikit-learn.org/stable/modules/generated/sklearn.utils.discovery.all_estimators.html -
Ordinary Least Squares and Ridge Regression ...
[ 2 ]] # Use only one feature X_train...ax = plt . subplots ( ncols = 2 , figsize = ( 10 , 5 ), sharex...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge.html -
KNeighborsTransformer — scikit-learn 1.8....
array([[2]])) As you can see, it returns [[0.5]], and [[2]], which..., metric = 'minkowski' , p = 2 , metric_params = None , n_jobs...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsTransformer.html -
Normal, Ledoit-Wolf and OAS Linear Discriminant...
centers = [[ - 2 ], [ 2 ]]) # add non-discriminative...features_samples_ratio , acc_clf1 , linewidth = 2 , label = "LDA" , color...scikit-learn.org/stable/auto_examples/classification/plot_lda.html -
Robust covariance estimation and Mahalanobis di...
standard deviation equal to 2 and feature 2 has a standard deviation...n_features = 2 # generate Gaussian data of shape (125, 2) gen_cov...scikit-learn.org/stable/auto_examples/covariance/plot_mahalanobis_distances.html -
feature_extraction.rst.txt
2.0986]}{\sqrt{\big(3^2 + 0^2 + 2.0986^2\big)}} = [...(one_image, (2, 2)) >>> patches.shape (9, 2, 2, 3) >>> patches[4,...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
Plot the decision surfaces of ensembles of tree...
2 , w_pad = 0.2 , pad = 2.5 ) plt . show ()...pair in ([ 0 , 1 ], [ 0 , 2 ], [ 2 , 3 ]): for model in models...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_iris.html