- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 211 - 220 of 3,004 for 2 (0.09 sec)
-
min_pos — scikit-learn 1.7.2 documentation
2 , 3 , - 4 , 5 ]) >>> min_pos ( X ) 2.0 On this page...scikit-learn.org/stable/modules/generated/sklearn.utils.arrayfuncs.min_pos.html -
polynomial_kernel — scikit-learn 1.7.2 document...
degree = 2 ) array([[1. , 1. ], [1.77, 2.77]]) On this page...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.polynomial_kernel.html -
FeatureUnion — scikit-learn 1.7.2 documentation
n_components = 2 ))]) >>> X = [[ 0. , 1. , 3 ], [ 2. , 2. , 5 ]] >>>...parameters. Added in version 1.2. n_features_in_ int Number of...scikit-learn.org/stable/modules/generated/sklearn.pipeline.FeatureUnion.html -
TruncatedSVD — scikit-learn 1.7.2 documentation
TruncatedSVD ( n_components = 2 , * , algorithm = 'randomized'...Parameters : n_components int, default=2 Desired dimensionality of output...scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html -
OutputCodeClassifier — scikit-learn 1.7.2 docum...
Artificial Intelligence Research 2, 1995. [ 2 ] “The error coding method...n_features = 4 , ... n_informative = 2 , n_redundant = 0 , ... random_state...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html -
sparse_encode — scikit-learn 1.7.2 documentation
2 ], ... [ 1 , 1 , 1 ], ... [ 0 , 1 , 1 ], ... [ 0 , 2 , 1...scikit-learn.org/stable/modules/generated/sklearn.decomposition.sparse_encode.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 -
r2_score — scikit-learn 1.7.2 documentation
y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 ] >>> r2_score...y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 + 1e-8...scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html -
BayesianGaussianMixture — scikit-learn 1.7.2 do...
2 ], [ 1 , 4 ], [ 1 , 0 ], [ 4 , 2 ], [ 12 , 4 ],...) >>> bgm . means_ array([[2.49 , 2.29], [8.45, 4.52 ]]) >>> bgm...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
MinMaxScaler — scikit-learn 1.7.2 documentation
transform ([[ 2 , 2 ]])) [[1.5 0. ]] fit ( X , y...MinMaxScaler >>> data = [[ - 1 , 2 ], [ - 0.5 , 6 ], [ 0 , 10 ],...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html