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KNeighborsRegressor — scikit-learn 1.7.0 docume...
leaf_size = 30 , p = 2 , metric = 'minkowski' , metric_params = None...n_neighbors = 5 , * , weights = 'uniform' , algorithm = 'auto' ,...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
Understanding the decision tree structure — sci...
iris = load_iris () X = iris . data y = iris . target...y_test = train_test_split ( X , y , random_state = 0 ) clf = DecisionTreeClassifi...scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html -
Plot classification boundaries with different S...
scatter = ax . scatter ( X [:, 0 ], X [:, 1 ], s = 150 , c = y ,...kernel , ax = None , long_title = True , support_vectors = True ):...scikit-learn.org/stable/auto_examples/svm/plot_svm_kernels.html -
ShuffleSplit — scikit-learn 1.7.0 documentation
ShuffleSplit(n_splits=5, random_state=0, test_size=0.25, train_size=None) >>>...n_splits = 10 , * , test_size = None , train_size = None , random_state...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html -
CountVectorizer — scikit-learn 1.7.0 documentation
ngram_range=(1 , 1) , analyzer='word' , max_df=1.0 , min_df=1 , max_features=None...max_features=None , vocabulary=None , binary=False , dtype=<class 'numpy.int64'>...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html -
Using KBinsDiscretizer to discretize continuous...
linewidth = 2 , color = "green" , linestyle = "-" , label = "linear...linewidth = 2 , color = "red" , linestyle = ":" , label = "decision...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization.html -
Introducing the set_output API — scikit-learn 1...
y = load_iris ( as_frame = True , return_X_y = True ) X_train..., y = fetch_openml ( "titanic" , version = 1 , as_frame = True...scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html
