- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 381 - 390 of 2,485 for 2 (0.2 sec)
-
hinge_loss — scikit-learn 1.7.2 documentation
([[ - 2 ], [ 3 ], [ 0.5 ]]) >>> pred_decision array([-2.18, 2.36,...[ 1 ], [ 2 ], [ 3 ]]) >>> Y = np . array ([ 0 , 1 , 2 , 3 ]) >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
Release Highlights for scikit-learn 0.24 — scik...
2. From 1.2, use # PartialDependenceDis..."min_samples_split" : randint ( 2 , 11 ), "bootstrap" : [ True ,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html -
roc_auc_score — scikit-learn 1.7.2 documentation
the standardized partial AUC [2] over the range [0, max_fpr] is...under of the ROC as follows: G = 2 * AUC - 1 Where G is the Gini...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
1.16. Probability calibration — scikit-learn 1....
reliability diagrams (Wilks 1995 [ 2 ] ), compare how well the probabilistic...in this dataset which contains 2 redundant features. RandomForestClassifi...scikit-learn.org/stable/modules/calibration.html -
GaussianMixture — scikit-learn 1.7.2 documentation
2 ], [ 1 , 4 ], [ 1 , 0 ], [ 10 , 2 ], [ 10 , 4 ],...gm . means_ array([[10., 2.], [ 1., 2.]]) >>> gm . predict ([[...scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html -
SpectralCoclustering — scikit-learn 1.7.2 docum...
[ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...SpectralCoclustering ( n_clusters = 2 , random_state = 0 ) . fit ( X...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html -
average_precision_score — scikit-learn 1.7.2 do...
2 , 2 ]) >>> y_scores = np . array ([ ... [ 0.7 , 0.2 , 0.1...], ... [ 0.2 , 0.3 , 0.5 ], ... [ 0.4 , 0.4 , 0.2 ], ... [ 0.1...scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html -
2.6. Covariance estimation — scikit-learn 1.7.2...
2.6.2. Shrunk Covariance # 2.6.2.1. Basic shrinkage...ShrunkCovariance object to data. 2.6.2.2. Ledoit-Wolf shrinkage # In...scikit-learn.org/stable/modules/covariance.html -
available_if — scikit-learn 1.7.2 documentation
x % 2 == 0 ... ... @available_if ( _x_is_even..."say_hello" ) False >>> obj . x = 2 >>> hasattr ( obj , "say_hello"...scikit-learn.org/stable/modules/generated/sklearn.utils.metaestimators.available_if.html -
make_classification — scikit-learn 1.7.2 docume...
n_informative = 2 , n_redundant = 2 , n_repeated = 0 , n_classes = 2 , n_clusters_per_class...n_clusters_per_class = 2 , weights = None , flip_y = 0.01 , class_sep...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html