- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 611 - 620 of 2,911 for 1 (0.1 sec)
-
MultiOutputClassifier — scikit-learn 1.7.0 docu...
( X [ - 2 :]) array([[1, 1, 1], [1, 0, 1]]) fit ( X , Y , sample_weight...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputClassifier.html -
BaggingClassifier — scikit-learn 1.7.0 document...
max_samples = 1.0 , max_features = 1.0 , bootstrap = True...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html -
Comparison of F-test and mutual information — s...
follows: y = x_1 + sin(6 * pi * x_2) + 0.1 * N(0, 1), that is the...features x_1, x_2, x_3 distributed uniformly over [0, 1], the target...scikit-learn.org/stable/auto_examples/feature_selection/plot_f_test_vs_mi.html -
RANSACRegressor — scikit-learn 1.7.0 documentation
min_samples int (>= 1) or float ([0, 1]), default=None Minimum...min_samples is chosen as X.shape[1] + 1 . This parameter is highly...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html -
RepeatedKFold — scikit-learn 1.7.0 documentation
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> rkf = RepeatedKFold (...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
TweedieRegressor — scikit-learn 1.7.0 documenta...
float64(1.600) >>> clf . predict ([[ 1 , 1 ], [ 3 , 4 ]])...Power Distribution 0 Normal 1 Poisson (1,2) Compound Poisson Gamma...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html -
MLPClassifier — scikit-learn 1.7.0 documentation
:]) array([1, 0, 1, 0, 1]) >>> clf . score ( X_test..., validation_fraction = 0.1 , beta_1 = 0.9 , beta_2 = 0.999 ,...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html -
MaxAbsScaler — scikit-learn 1.7.0 documentation
-1. , 1. ], [ 1. , 0. , 0. ], [ 0. , 1. , -0.5]]) fit...= [[ 1. , - 1. , 2. ], ... [ 2. , 0. , 0. ], ... [ 0. , 1. , -...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MaxAbsScaler.html -
RidgeClassifierCV — scikit-learn 1.7.0 document...
1, 1.0, 10.0) , * , fit_intercept...shape (n_alphas,), default=(0.1, 1.0, 10.0) Array of alpha values...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifierCV.html -
chi2 — scikit-learn 1.7.0 documentation
array ([[ 1 , 1 , 3 ], ... [ 0 , 1 , 5 ], ... [ 5 , 4 , 1 ], ......y = np . array ([ 1 , 1 , 0 , 0 , 2 , 2 ]) >>> chi2_stats , p_values...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html