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check_scalar — scikit-learn 1.7.1 documentation
upper bound. include_boundaries {“left”, “right”, “both”, “neither”},...check_scalar ( 10 , "x" , int , min_val = 1 , max_val = 20 ) 10 On this...scikit-learn.org/stable/modules/generated/sklearn.utils.check_scalar.html -
density — scikit-learn 1.7.1 documentation
random ( 10 , 10 , density = 0.25 , random_state = 0 ) >>> density...matrix. Returns : float The density of w, between 0 and 1. Examples...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.density.html -
sklearn.exceptions — scikit-learn 1.7.1 documen...
top Ctrl + K GitHub Choose version sklearn.exceptions # Custom...and errors used across scikit-learn. ConvergenceWarning Custom warning...scikit-learn.org/stable/api/sklearn.exceptions.html -
weighted_mode — scikit-learn 1.7.1 documentation
2 , 4 , 2 ] >>> weights = [ 1 , 1 , 1 , 1 , 1 , 1 ] >>> weighted_mode...weights = [ 1 , 3 , 0.5 , 1.5 , 1 , 2 ] # deweight the 4's >>> weighted_mode...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.weighted_mode.html -
ExtraTreeClassifier — scikit-learn 1.7.1 docume...
be [{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...criterion {“gini”, “entropy”, “log_loss”}, default=”gini” The function...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeClassifier.html -
IterativeImputer — scikit-learn 1.7.1 documenta...
initial_strategy {‘mean’, ‘median’, ‘most_frequent’, ‘constant’}, default=’mean’...X_{t-1}))/max(abs(X[known_vals])) < tol , where X_t is X at iteration...scikit-learn.org/stable/modules/generated/sklearn.impute.IterativeImputer.html -
BernoulliRBM — scikit-learn 1.7.1 documentation
array ([[ 0 , 0 , 0 ], [ 0 , 1 , 1 ], [ 1 , 0 , 1 ], [ 1 , 1 , 1 ]])...learning_rate = 0.1 , batch_size = 10 , n_iter = 10 , verbose = 0 , random_state...scikit-learn.org/stable/modules/generated/sklearn.neural_network.BernoulliRBM.html -
RegressorMixin — scikit-learn 1.7.1 documentation
estimator . fit ( X , y ) . predict ( X ) array([0, 0, 0]) >>> estimator...of squares ((y_true - y_true.mean()) ** 2).sum() . The best possible...scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html -
reconstruct_from_patches_2d — scikit-learn 1.7....
patch_size = ( 10 , 10 )) >>> print ( 'Patches shape: {} ' . format (...( image_patches . shape )) Patches shape: (263758, 10, 10, 3)...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.reconstruct_from_patch... -
sigmoid_kernel — scikit-learn 1.7.1 documentation
= [[ 0 , 0 , 0 ], [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 ,..., 1 , 0 ]] >>> sigmoid_kernel ( X , Y ) array([[0.76, 0.76],...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.sigmoid_kernel.html