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type_of_target — scikit-learn 1.7.0 documentation
input_name = '' , raise_unknown = False ) [source] #...matrix. input_name str, default=”” The data name used to construct...scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.type_of_target.html -
Plot class probabilities calculated by the Voti...
random_state = 123 ) clf2 = RandomForestClassifi ( n_estimators = 100..., random_state = 123 ) clf3 = GaussianNB () X = np . array ([[...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_probas.html -
plot_multi_metric_evaluation.rst.txt
py: ========== Demonstration of multi-metric...cross_val_score and GridSearchCV ========== Multiple metric parameter...scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt -
export_graphviz — scikit-learn 1.7.0 documentation
out_file = None , * , max_depth = None , feature_names = None ,..., class_names = None , label = 'all' , filled = False , leaves_parallel...scikit-learn.org/stable/modules/generated/sklearn.tree.export_graphviz.html -
SGD: Weighted samples — scikit-learn 1.7.0 docu...
c = y , s = sample_weight , alpha = 0.9 , cmap = plt . cm...alpha = 0.01 , max_iter = 100 ) clf . fit ( X , y ) Z = clf ....scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html -
GroupShuffleSplit — scikit-learn 1.7.0 document...
splits=2, random_state=42, test_size=None, train_size=0.7) >>>...n_splits = 5 , * , test_size = None , train_size = None , random_state...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
Principal Component Regression vs Partial Least...
mean = [ 0 , 0 ], cov = cov , size = n_samples ) pca = PCA ( n_components...label = f "Component { i } " , linewidth = 5 , color = f "C {...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
load_files — scikit-learn 1.7.0 documentation
description = None , categories = None , load_content = True , shuffle...shuffle = True , encoding = None , decode_error = 'strict' , random_state...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_files.html -
SVM Tie Breaking Example — scikit-learn 1.7.0 d...
()): svm = SVC ( kernel = "linear" , C = 1 , break_ties = break_ties...SVC X , y = make_blobs ( random_state = 27 ) fig , sub = plt . subplots...scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html -
Sparse inverse covariance estimation — scikit-l...
cov /= d cov /= d [:, np . newaxis ] prec *= d prec *= d [:,..., size = n_samples ) X -= X . mean ( axis = 0 ) X /= X . std...scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html