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Concatenating multiple feature extraction metho...
0s [CV 2/5; 2/18] START features__pca__n_components=1,...features__univ_select__k=1, svm__C=1 [CV 2/5; 2/18] END features__pca__n_components=1,...scikit-learn.org/stable/auto_examples/compose/plot_feature_union.html -
inplace_row_scale — scikit-learn 1.8.0 do...
2 , 5 , 6 ]) >>> scale = np . array ([ 2 , 3 ,...>>> indptr = np . array ([ 0 , 2 , 3 , 4 , 5 ]) >>> indices...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_row_scale.html -
make_blobs — scikit-learn 1.8.0 documenta...
2) >>> y array([0, 1, 2, 0, 2, 2, 2, 1, 1, 0])...shape ) (10, 2) >>> y array([0, 0, 1, 0, 2, 2, 2, 1, 1, 0])...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_blobs.html -
LabelEncoder — scikit-learn 1.8.0 documen...
2 , 2 , 6 ]) LabelEncoder() >>>...array([1, 2, 6]) >>> le . transform ([ 1 , 1 , 2 , 6 ])...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html -
mean_tweedie_deviance — scikit-learn 1.8....
= [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2....y_pred > 0. 1 < p < 2 : Compound Poisson distribution....scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
d2_tweedie_score — scikit-learn 1.8.0 doc...
Like R^2, D^2 score may be negative (it need..., power = 0 ) [source] # \(D^2\) regression score function, fraction...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_tweedie_score.html -
Illustration of prior and posterior Gaussian pr...
0 ] - 2.5 ) ** 2 ) n_samples = 5 Kernel cookbook...0.799**2 * ExpSineSquared(length_scale=0.791, periodicity=2.87)...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_prior_posterior.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 -
GroupShuffleSplit — scikit-learn 1.8.0 do...
0: Train: index=[2 3 4 5 6 7], group=[2 2 2 3 3 3] Test: index=[0...3 3 3] Test: index=[2 3 4], group=[2 2 2] get_metadata_routing...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
auto_examples_python.zip
- l / 2.0) ** 2 + (y - l / 2.0) ** 2 < (l / 2.0) ** 2 mask =...+ 1, figsize=(4 * 2.2, n_classifiers * 2.2), ) evaluation_results...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip