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Metadata Routing — scikit-learn 1.7.2 documenta...
2 , size = n_samples ) my_groups...scikit-learn.org/stable/auto_examples/miscellaneous/plot_metadata_routing.html -
Robust vs Empirical covariance estimate — sciki...
subplot ( 2 , 1 , 1 ) lw = 2 plt . errorbar ( range_n_outliers..."Error ($||\mu - \hat{\mu}||_2^2$)" ) plt . legend ( loc = "upper...scikit-learn.org/stable/auto_examples/covariance/plot_robust_vs_empirical_covariance.html -
Gaussian Mixture Model Sine Curve — scikit-lear...
eigh ( covar ) v = 2.0 * np . sqrt ( 2.0 ) * np . sqrt ( v )...mean_precision_prior = 1e-2 , covariance_prior = 1e0 * np . eye ( 2 ), init_params...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_sin.html -
inplace_swap_column — scikit-learn 1.7.2 docume...
2 , 3 , 3 , 3 ]) >>> indices = np . array ([ 0 , 2 , 2 ])...>>> data = np . array ([ 8 , 2 , 5 ]) >>> csr = sparse . csr_matrix...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_column.html -
inplace_row_scale — scikit-learn 1.7.2 document...
2 , 3 , 4 , 5 ]) >>> indices = np . array ([ 0 , 1 , 2 , 3...([ 8 , 1 , 2 , 5 , 6 ]) >>> scale = np . array ([ 2 , 3 , 4 ,...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_row_scale.html -
Lagged features for time series forecasting — s...
2) season count cat u32 "0" 4496 "3" 4232 "2" 4409 "1"...3.5" "39.1 ± 2.3" "17.7 ± 1.3" "19.5 ± 1.1" "21.4 ± 2.4" "poisson"...scikit-learn.org/stable/auto_examples/applications/plot_time_series_lagged_features.html -
Tags — scikit-learn 1.7.2 documentation
Gallery examples: Release Highlights for scikit-learn 1.6scikit-learn.org/stable/modules/generated/sklearn.utils.Tags.html -
Inspection — scikit-learn 1.7.2 documentation
Examples related to the sklearn.inspection module. Common pitfalls in the interpretation of coefficients of linear models Failure of Machine Learning to infer causal effects Partial Dependence and ...scikit-learn.org/stable/auto_examples/inspection/index.html -
Preprocessing — scikit-learn 1.7.2 documentation
Examples concerning the sklearn.preprocessing module. Compare the effect of different scalers on data with outliers Comparing Target Encoder with Other Encoders Demonstrating the different strategi...scikit-learn.org/stable/auto_examples/preprocessing/index.html -
Clustering — scikit-learn 1.7.2 documentation
Examples concerning the sklearn.cluster module. A demo of K-Means clustering on the handwritten digits data A demo of structured Ward hierarchical clustering on an image of coins A demo of the mean...scikit-learn.org/stable/auto_examples/cluster/index.html