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Normal, Ledoit-Wolf and OAS Linear Discriminant...
centers = [[ - 2 ], [ 2 ]]) # add non-discriminative...features_samples_ratio , acc_clf1 , linewidth = 2 , label = "LDA" , color = "gold"...scikit-learn.org/stable/auto_examples/classification/plot_lda.html -
7.9. Transforming the prediction target (y) — s...
array([2, 2, 1]) >>> list ( le . inverse_transform ([ 2 , 2 , 1...y = [[ 2 , 3 , 4 ], [ 2 ], [ 0 , 1 , 3 ], [ 0 , 1 , 2 , 3 , 4...scikit-learn.org/stable/modules/preprocessing_targets.html -
has_fit_parameter — scikit-learn 1.7.2 document...
Skip to main content Back to top Ctrl + K GitHub Choose version has_fit_parameter # sklearn.utils.validation. has_fit...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.has_fit_parameter.html -
estimator_html_repr — scikit-learn 1.7.2 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version estimator_html_repr # sklearn.utils. estimator_html_r...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_html_repr.html -
13. Choosing the right estimator — scikit-learn...
Often the hardest part of solving a machine learning problem can be finding the right estimator for the job. Different estimators are better suited for different types of data and different problem...scikit-learn.org/stable/machine_learning_map.html -
make_swiss_roll — scikit-learn 1.7.2 documentation
Gallery examples: Hierarchical clustering: structured vs unstructured ward Swiss Roll And Swiss-Hole Reductionscikit-learn.org/stable/modules/generated/sklearn.datasets.make_swiss_roll.html -
fetch_olivetti_faces — scikit-learn 1.7.2 docum...
Gallery examples: Online learning of a dictionary of parts of faces Faces dataset decompositions Face completion with a multi-output estimatorsscikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_olivetti_faces.html -
permutation_test_score — scikit-learn 1.7.2 doc...
scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
sklearn.kernel_ridge — scikit-learn 1.7.2 docum...
Kernel ridge regression. User guide. See the Kernel ridge regression section for further details.scikit-learn.org/stable/api/sklearn.kernel_ridge.html -
Lasso model selection: AIC-BIC / cross-validati...
718747 2.850031 4805.989341 4867.358990 2.384338 4801.702266...4801.702266 4867.163224 2.296575 4802.594754 4872.147022 2.031555 4801.236720...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_model_selection.html