- Sort Score
- Num 10 results
- Language All
- Labels All
Results 371 - 380 of over 10,000 for 1 (0.4 seconds)
-
ValidationCurveDisplay — scikit-learn 1.8...
means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn 1.3 Release Highlights for scikit-learn 1.3 On this...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html -
OneClassSVM — scikit-learn 1.8.0 document...
predict ( X ) array([-1, 1, 1, 1, -1]) >>> clf . score_samples...default=-1 Hard limit on iterations within solver, or -1 for no...scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html -
mean_shift — scikit-learn 1.8.0 documenta...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...6. ], [1.33, 0.66]]) >>> labels array([1, 1, 1, 0, 0,...scikit-learn.org/stable/modules/generated/sklearn.cluster.mean_shift.html -
roc_curve — scikit-learn 1.8.0 documentation
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...labels are not either {-1, 1} or {0, 1}, then pos_label should...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html -
fetch_covtype — scikit-learn 1.8.0 docume...
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load the covertype...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_covtype.html -
scale — scikit-learn 1.8.0 documentation
independently array([[-1., 1., 1.], [ 1., -1., -1.]]) >>>...>>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>> scale...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html -
load_wine — scikit-learn 1.8.0 documentation
1, 2]) >>> list ( data...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_wine.html -
Kernel — scikit-learn 1.8.0 documentation
length_scale = 1.0 ): ... self . length_scale =...>>> X = np . array ([[ 1 , 2 ], [ 3 , 4 ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Kernel.html -
det_curve — scikit-learn 1.8.0 documentation
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...labels are not either {-1, 1} or {0, 1}, then pos_label should...scikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html -
coverage_error — scikit-learn 1.8.0 docum...
>>> y_true = [[ 1 , 0 , 0 ], [ 0 , 1 , 1 ]] >>> y_score...y_score = [[ 1 , 0 , 0 ], [ 0 , 1 , 1 ]] >>> coverage_error...scikit-learn.org/stable/modules/generated/sklearn.metrics.coverage_error.html