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Miscellaneous — scikit-learn 1.7.0 documentation
Miscellaneous and introductory examples for scikit-learn. Advanced Plotting With Partial Dependence Comparing anomaly detection algorithms for outlier detection on toy datasets Comparison of kernel...scikit-learn.org/stable/auto_examples/miscellaneous/index.html -
FitFailedWarning — scikit-learn 1.7.0 documenta...
Skip to main content Back to top Ctrl + K GitHub Choose version FitFailedWarning # exception sklearn.exceptions. FitF...scikit-learn.org/stable/modules/generated/sklearn.exceptions.FitFailedWarning.html -
InputTags — scikit-learn 1.7.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version InputTags # class sklearn.utils. InputTags ( one_d_ar...scikit-learn.org/stable/modules/generated/sklearn.utils.InputTags.html -
ParameterGrid — scikit-learn 1.7.0 documentation
[{ 'a' : 1 , 'b' : True }, { 'a' : 1 , 'b' : False },...( grid )[ 1 ] == { 'kernel' : 'rbf' , 'gamma' : 1 } True On this...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html -
CategoricalNB — scikit-learn 1.7.0 documentation
Added in version 1.2. Changed in version 1.4: The default value... CategoricalNB ( * , alpha = 1.0 , force_alpha = True , fit_prior...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html -
RationalQuadratic — scikit-learn 1.7.0 document...
RationalQuadratic ( length_scale = 1.0 , alpha = 1.0 , length_scale_bounds...RationalQuadratic ( length_scale = 1.0 , alpha = 1.5 ) >>> gpc = GaussianProcessClass...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html -
KFold — scikit-learn 1.7.0 documentation
3] Test: index=[0 1] Fold 1: Train: index=[0 1] Test: index=[2...X = np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html -
min_pos — scikit-learn 1.7.0 documentation
- 1 , 2 , 3 , - 4 , 5 ]) >>> min_pos...scikit-learn.org/stable/modules/generated/sklearn.utils.arrayfuncs.min_pos.html -
load_wine — scikit-learn 1.7.0 documentation
1, 2]) >>> list ( data . target_names...[np.str_('class_0'), np.str_('class_1'), np.str_('class_2')] Gallery...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_wine.html -
GaussianProcessClassifier — scikit-learn 1.7.0 ...
1, 3.2, and 5.1 from [RW2006] . Internally,...None is passed, the kernel “1.0 * RBF(1.0)” is used as default. Note...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html