- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 121 - 130 of 2,950 for 1 (0.07 sec)
-
1.16. Probability calibration — scikit-learn 1....
model [ 4 ] : \[p(y_i = 1 | f_i) = \frac{1}{1 + \exp(A f_i + B)} \,,\]...e.g. using many more features. 1.16.1. Calibration curves # Calibration...scikit-learn.org/stable/modules/calibration.html -
CalibratedClassifierCV — scikit-learn 1.6.1 doc...
means 1 unless in a joblib.parallel_backend context. -1 means...LinearSVC . Added in version 1.2. method {‘sigmoid’, ‘isotonic’},...scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html -
SelfTrainingClassifier — scikit-learn 1.6.1 doc...
since version 1.6: base_estimator was deprecated in 1.6 and will...estimator_ attribute. Added in version 1.6: estimator was added to replace...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.SelfTrainingClassifier.html -
RepeatedKFold — scikit-learn 1.6.1 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 -
OrthogonalMatchingPursuit — scikit-learn 1.6.1 ...
either set to 10% of n_features or 1, whichever is greater. tol float,...either set to 10% of n_features or 1, whichever is greater. n_features_in_...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html -
RBFSampler — scikit-learn 1.6.1 documentation
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...in version 1.2: The option "scale" was added in 1.2. n_components...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.RBFSampler.html -
ExpSineSquared — scikit-learn 1.6.1 documentation
ExpSineSquared ( length_scale = 1.0 , periodicity = 1.0 , length_scale_bounds...ExpSineSquared ( length_scale = 1 , periodicity = 1 ) >>> gpr = GaussianProcessRegre...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html -
TfidfTransformer — scikit-learn 1.6.1 documenta...
array([[1, 1, 1, 1, 0, 1, 0, 0], [1, 2, 0, 1, 1, 1, 0, 0], [1, 0,...0, 0, 1, 0, 1, 1, 1], [1, 1, 1, 1, 0, 1, 0, 0]]) >>> pipe [ 'tfid'...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html -
chi2 — scikit-learn 1.6.1 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 -
RandomTreesEmbedding — scikit-learn 1.6.1 docum...
1.], [1., 0., 1., 0., 1., 0., 1., 0., 1., 0.], [0., 1., 1.,...array([[0., 1., 1., 0., 1., 0., 0., 1., 1., 0.], [0., 1., 1., 0., 1.,...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomTreesEmbedding.html