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Permutation Importance with Multicollinear or C...
random_state = 42 , n_jobs = 2 ) perm_sorted_idx = result . importances_mean..., y = load_breast_cancer ( return_X_y = True , as_frame = True...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance_multicollinear.html -
Hashing feature transformation using Totally Ra...
y = make_circles ( factor = 0.5 , random_state = 0 , noise...random_state = 0 , max_depth = 3 ) X_transformed = hasher . fit_transform...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_embedding.html -
Feature importances with a forest of trees — sc...
n_repeated = 0 , n_classes = 2 , random_state = 0 , shuffle = False ,...n_repeats = 10 , random_state = 42 , n_jobs = 2 ) elapsed_time = time...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances.html -
Perceptron — scikit-learn 1.6.1 documentation
fit_intercept = True , max_iter = 1000 , tol = 0.001 , shuffle = True...verbose = 0 , eta0 = 1.0 , n_jobs = None , random_state = 0 , early_stopping...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html -
RepeatedKFold — scikit-learn 1.6.1 documentation
n_splits = 5 , n_repeats = 10 , random_state = None ) [source]...RepeatedKFold ( n_splits = 2 , n_repeats = 2 , random_state = 2652124 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
MLPClassifier — scikit-learn 1.6.1 documentation
learning_rate_init = 0.001 , power_t = 0.5 , max_iter = 200 , shuffle = True...random_state = None , tol = 0.0001 , verbose = False , warm_start = False...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html -
Neighborhood Components Analysis Illustration —...
y = make_classification ( n_samples = 9 , n_features = 2 ,...n_informative = 2 , n_redundant = 0 , n_classes = 3 , n_clusters_per_class...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_illustration.html -
about.rst.txt
_about: ======== About us ======== History ======= This project...contribution. Governance ========== The decision making process...scikit-learn.org/stable/_sources/about.rst.txt -
TfidfVectorizer — scikit-learn 1.6.1 documentation
min_df=1 , max_features=None , vocabulary=None , binary=False..., input='content' , encoding='utf-8' , decode_error='strict'...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html -
Test with permutations the significance of a cl...
clf = SVC ( kernel = "linear" , random_state = 7 ) cv = StratifiedKFold...load_iris iris = load_iris () X = iris . data y = iris . target...scikit-learn.org/stable/auto_examples/model_selection/plot_permutation_tests_for_classification.html