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7.4. Imputation of missing values — scikit-lear...
array ([[ - 1 , - 1 , 1 , 3 ], ... [ 4 , - 1 , 0 , - 1 ], ... [...= sp . csc_matrix ([[ 1 , 2 ], [ 0 , - 1 ], [ 8 , 4 ]]) >>> imp...scikit-learn.org/stable/modules/impute.html -
make_regression — scikit-learn 1.7.1 documentation
1.523], [-0.2341, -0.2341], [-0.4694, 0.5425], [ 1.579,...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 On this...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html -
Release Highlights for scikit-learn 0.24 — scik...
been removed in version 1.2. From 1.2, use # PartialDependenceDis...scikit-learn 1.0 Release Highlights for scikit-learn 1.0 Release...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html -
r_regression — scikit-learn 1.7.1 documentation
Added in version 1.1. Returns : correlation_coefficient...User Guide . Added in version 1.0. Parameters : X {array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.r_regression.html -
Gaussian Processes regression: basic introducto...
num = 1_000 ) . reshape ( - 1 , 1 ) y = np . squeeze...import RBF kernel = 1 * RBF ( length_scale = 1.0 , length_scale_bounds...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy_targets.html -
sklearn.preprocessing — scikit-learn 1.7.1 docu...
Scale each feature to the [-1, 1] range without breaking the...data (set feature values to 0 or 1) according to a threshold. FunctionTransformer...scikit-learn.org/stable/api/sklearn.preprocessing.html -
Nested versus non-nested cross-validation — sci...
= { "C" : [ 1 , 10 , 100 ], "gamma" : [ 0.01 , 0.1 ]} # We will...Iris Dataset" , x = 0.5 , y = 1.1 , fontsize = "15" , ) # Plot...scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html -
The Johnson-Lindenstrauss bound for embedding w...
by: \[(1 - eps) \|u - v\|^2 < \|p(u) - p(v)\|^2 < (1 + eps) \|u...matrix with size: 1.301 MB Mean distances rate: 1.02 (0.17) Projected...scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html -
GMM Initialization Methods — scikit-learn 1.7.1...
1 ], s = 75 , marker = "D" , c = "orange" , lw = 1.5 , edgecolors...random_state = 0 ) X = X [:, :: - 1 ] n_samples = 4000 n_components...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_init.html -
Outlier detection with Local Outlier Factor (LO...
n_neighbors ) is typically set 1) greater than the minimum number...ground_truth [ - n_outliers :] = - 1 Fit the model for outlier detection...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html