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OneVsOneClassifier — scikit-learn 1.7.0 documen...
shuffle = True , random_state = 0 ) >>> clf = OneVsOneClassifier...LinearSVC >>> X , y = load_iris ( return_X_y = True ) >>> X_train...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html -
Isotonic Regression — scikit-learn 1.7.0 docume...
check_random_state n = 100 x = np . arange ( n ) rs = check_random_state...models: ir = IsotonicRegression ( out_of_bounds = "clip" ) y_ = ir ....scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html -
GridSearchCV — scikit-learn 1.7.0 documentation
scoring = None , n_jobs = None , refit = True , cv = None , verbose...verbose = 0 , pre_dispatch = '2*n_jobs' , error_score = nan , return_train_score...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html -
An example of K-Means++ initialization — scikit...
data n_samples = 4000 n_components = 4 X , y_true = make_blobs (...n_samples = n_samples , centers = n_components , cluster_std = 0.60...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_plusplus.html -
shuffle — scikit-learn 1.7.0 documentation
random_state = None , n_samples = None ) [source] # Shuffle...X_sparse , y = shuffle ( X , X_sparse , y , random_state = 0 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.shuffle.html -
load_svmlight_files — scikit-learn 1.7.0 docume...
zero_based='auto' , query_id=False , offset=0 , length=-1 ) [source]...n_features=None , dtype=<class 'numpy.float64'> , multilabel=False...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_files.html -
SelectPercentile — scikit-learn 1.7.0 documenta...
score_func=<function f_classif> , * , percentile=10 ) [source]..., chi2 >>> X , y = load_digits ( return_X_y = True ) >>> X . shape...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html -
SelectFdr — scikit-learn 1.7.0 documentation
SelectFdr ( score_func=<function f_classif> , * , alpha=0.05 ) [source]...chi2 >>> X , y = load_breast_cancer ( return_X_y = True ) >>> X...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFdr.html -
SelectFwe — scikit-learn 1.7.0 documentation
SelectFwe ( score_func=<function f_classif> , * , alpha=0.05 ) [source]...chi2 >>> X , y = load_breast_cancer ( return_X_y = True ) >>> X...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFwe.html -
1.8. Cross decomposition — scikit-learn 1.7.0 d...
transformed(X) = XU and transformed(Y) = YV . If n_components == 1 , PLSSVD...\(\Omega = \alpha \Xi\) . Then, we have \(Y = \Omega \Delta^T = \alpha...scikit-learn.org/stable/modules/cross_decomposition.html