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OutputCodeClassifier — scikit-learn 1.7.0 docum...
code_size = 1.5 , random_state = None , n_jobs = None ) [source]..., y = make_classification ( n_samples = 100 , n_features = 4 ,...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html -
plot_release_highlights_1_7_0.ipynb
cv=5, return_estimator=True, return_indices=True)\n_ = Roc...uting=True)\n\nX, y = make_classification(random_state=0)\nX_train,...scikit-learn.org/stable/_downloads/b7d178d09f44d400894015228deb0ddb/plot_release_highlights_1_7_0... -
FixedThresholdClassifier — scikit-learn 1.7.0 d...
threshold = 'auto' , pos_label = None , response_method = 'auto'...weights = [ 0.9 , 0.1 ], class_sep = 0.8 , random_state = 42 ......scikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html -
MinMaxScaler — scikit-learn 1.7.0 documentation
feature_range = (0, 1) , * , copy = True , clip = False ) [source]...X_std = ( X - X . min ( axis = 0 )) / ( X . max ( axis = 0 ) -...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html -
mean_shift — scikit-learn 1.7.0 documentation
min_bin_freq = 1 , cluster_all = True , max_iter = 300 , n_jobs = None..., bandwidth = None , seeds = None , bin_seeding = False , min_bin_freq...scikit-learn.org/stable/modules/generated/sklearn.cluster.mean_shift.html -
MeanShift — scikit-learn 1.7.0 documentation
min_bin_freq = 1 , cluster_all = True , n_jobs = None , max_iter = 300..., bandwidth = None , seeds = None , bin_seeding = False , min_bin_freq...scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html -
make_gaussian_quantiles — scikit-learn 1.7.0 do...
mean = None , cov = 1.0 , n_samples = 100 , n_features = 2 , n_classes...n_classes = 3 , shuffle = True , random_state = None ) [source]...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html -
1.6. Nearest Neighbors — scikit-learn 1.7.0 doc...
nbrs = NearestNeighbors ( n_neighbors = 2 , algorithm = 'ball_tree'...]]) >>> kdt = KDTree ( X , leaf_size = 30 , metric = 'euclidean'...scikit-learn.org/stable/modules/neighbors.html -
randomized_svd — scikit-learn 1.7.0 documentation
n_oversamples = 10 , n_iter = 'auto' , power_iteration_normalizer = 'auto'...transpose = 'auto' , flip_sign = True , random_state = None , svd_lapack_driver...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_svd.html -
Displaying estimators and complex pipelines — s...
lr = LogisticRegression ( penalty = "l1" ) print (...num_proc = make_pipeline ( SimpleImputer ( strategy = "median"...scikit-learn.org/stable/auto_examples/miscellaneous/plot_estimator_representation.html