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Comparison of Calibration of Classifiers — scik...
probability Gallery generated by Sphinx-Gallery On this page This Page...scikit-learn.org/stable/auto_examples/calibration/plot_compare_calibration.html -
GaussianNB — scikit-learn 1.7.1 documentation
feature names that are all strings. Added in version 1.0. var_...( X , Y ) GaussianNB() >>> print ( clf . predict ([[ - 0.8 ,...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html -
9.2. Computational Performance — scikit-learn 1...
SKLEARN_ASSUME_FINITE to a non-empty string before importing scikit-learn,...shape [ 0 ] * X . shape [ 1 ]) print ( "input sparsity ratio:" ,...scikit-learn.org/stable/computing/computational_performance.html -
LinearSVR — scikit-learn 1.7.1 documentation
feature names that are all strings. Added in version 1.0. n_iter_...LinearSVR(random_state=0, tol=1e-05))]) >>> print ( regr . named_steps [ 'linearsvr'...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVR.html -
IsolationForest — scikit-learn 1.7.1 documentation
scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html -
BernoulliNB — scikit-learn 1.7.1 documentation
feature names that are all strings. Added in version 1.0. See...( X , Y ) BernoulliNB() >>> print ( clf . predict ( X [ 2 : 3...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html -
Map data to a normal distribution — scikit-lear...
probability Gallery generated by Sphinx-Gallery This Page Download...scikit-learn.org/stable/auto_examples/preprocessing/plot_map_data_to_normal.html -
Multilabel classification using a classifier ch...
labels but also does not make strong assumptions about their correct...scikit-learn 0.22 Gallery generated by Sphinx-Gallery On this page This Page...scikit-learn.org/stable/auto_examples/multioutput/plot_classifier_chain_yeast.html -
Multilabel classification — scikit-learn 1.7.1 ...
dataset Gallery generated by Sphinx-Gallery This Page Download...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multilabel.html -
plot_pca_iris.zip
= load_iris(as_frame=True)\nprint(iris.keys())" ] }, { "cell_type":...= load_iris(as_frame=True) print(iris.keys()) # %% # Plot of...scikit-learn.org/stable/_downloads/99402c7ce7a6ab7fafcb48caa3c9447b/plot_pca_iris.zip