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1.10. Decision Trees — scikit-learn 1.7.0 docum...
>>> X = [[ 0 , 0 ], [ 1 , 1 ]] >>> Y = [ 0 , 1 ] >>> clf = tree...filled = True , rounded = True , ... special_characters = True...scikit-learn.org/stable/modules/tree.html -
RidgeCV — scikit-learn 1.7.0 documentation
scoring = None , cv = None , gcv_mode = None , store_cv_results...X , y = load_diabetes ( return_X_y = True ) >>> clf = RidgeCV...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html -
permutation_test_score — scikit-learn 1.7.0 doc...
groups = None , cv = None , n_permutations = 100 , n_jobs = None...random_state = 0 , verbose = 0 , scoring = None , fit_params = None ,...scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
BayesianGaussianMixture — scikit-learn 1.7.0 do...
reg_covar = 1e-06 , max_iter = 100 , n_init = 1 , init_params = 'kmeans'...n_components = 1 , covariance_type = 'full' , tol = 0.001 , reg_covar...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
LassoLarsIC — scikit-learn 1.7.0 documentation
criterion = 'aic' , * , fit_intercept = True , verbose = False ,..., precompute = 'auto' , max_iter = 500 , eps = np.float64(2....scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsIC.html -
Lars — scikit-learn 1.7.0 documentation
fit_intercept = True , verbose = False , precompute = 'auto' , n_nonzero_coefs...6) , copy_X = True , fit_path = True , jitter = None , random_state...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html -
FeatureUnion — scikit-learn 1.7.0 documentation
n_jobs = None , transformer_weights = None , verbose = False ,...union = FeatureUnion ([( "pca" , PCA ( n_components = 1 )), ......scikit-learn.org/stable/modules/generated/sklearn.pipeline.FeatureUnion.html -
GaussianProcessClassifier — scikit-learn 1.7.0 ...
n_restarts_optimizer = 0 , max_iter_predict = 100 , warm_start = False , copy_X_train...copy_X_train = True , random_state = None , multi_class = 'one_vs_rest'...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html -
QuantileTransformer — scikit-learn 1.7.0 docume...
( loc = 0.5 , scale = 0.25 , size = ( 25 , 1 )), axis = 0 ) >>>...ignore_implicit_zeros = False , subsample = 10000 , random_state = None , copy...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html -
KFold — scikit-learn 1.7.0 documentation
n_splits = 5 , * , shuffle = False , random_state = None ) [source]...KFold(n_splits=2, random_state=None, shuffle=False) >>> for i...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html