- Sort Score
- Num 10 results
- Language All
- Labels All
Results 2291 - 2300 of over 10,000 for * (5.56 seconds)
Filter
-
label_binarize — scikit-learn 1.8.0 documentation
([ 1 , 6 ], classes = [ 1 , 2 , 4 , 6 ]) array([[1, 0, 0, 0],...([ 1 , 6 ], classes = [ 1 , 6 , 4 , 2 ]) array([[1, 0, 0, 0],...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.html -
RegressorTags — scikit-learn 1.8.0 documentation
R2 of 0.5 on make_regression(n_samples=200, n_features=10, n_informative=1,...n_informative=1, bias=5.0, noise=20, random_state=42) . The dataset...scikit-learn.org/stable/modules/generated/sklearn.utils.RegressorTags.html -
Bunch — scikit-learn 1.8.0 documentation
import Bunch >>> b = Bunch ( a = 1 , b = 2 ) >>> b [ 'b' ] 2 >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html -
MinMaxScaler — scikit-learn 1.8.0 documentation
] [0.25 0.25] [0.5 0.5 ] [1. 1. ]] >>> print ( scaler . transform...data = [[ - 1 , 2 ], [ - 0.5 , 6 ], [ 0 , 10 ], [ 1 , 18 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html -
scale — scikit-learn 1.8.0 documentation
independently array([[-1., 1., 1.], [ 1., -1., -1.]]) >>> scale ( X...- 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>> scale ( X , axis = 0 ) # scaling...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html -
gen_batches — scikit-learn 1.8.0 documentation
min_batch_size = 0 )) [slice(0, 3, None), slice(3, 6, None),...batch_size , * , min_batch_size = 0 ) [source] # Generator to create...scikit-learn.org/stable/modules/generated/sklearn.utils.gen_batches.html -
safe_mask — scikit-learn 1.8.0 documentation
csr_matrix >>> data = csr_matrix ([[ 1 ], [ 2 ], [ 3 ], [ 4 ], [ 5 ]])...scikit-learn.org/stable/modules/generated/sklearn.utils.safe_mask.html -
has_fit_parameter — scikit-learn 1.8.0 document...
Skip to main content Back to top Ctrl + K GitHub Choose version has_fit_parameter # sklearn.utils.validation. has_fit...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.has_fit_parameter.html -
estimator_html_repr — scikit-learn 1.8.0 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version estimator_html_repr # sklearn.utils. estimator_html_r...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_html_repr.html -
DecisionTreeRegressor — scikit-learn 1.8.0 docu...
array([-0.39, -0.46, 0.02, 0.06, -0.50, 0.16, 0.11, -0.73, -0.30,...min_impurity_decrease = 0.0 , ccp_alpha = 0.0 , monotonic_cst = None...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html