- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 331 - 340 of 2,485 for 2 (0.13 sec)
-
RFE — scikit-learn 1.7.2 documentation
2, 5]) decision_function ( X ) [source]...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html -
pairwise_distances — scikit-learn 1.7.2 documen...
2.], [2., 1.]]) Gallery examples #...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html -
SGD: Weighted samples — scikit-learn 1.7.2 docu...
2 ) + [ 1 , 1 ], np . random . randn ( 10 , 2 )] y = [...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html -
load_breast_cancer — scikit-learn 1.7.2 documen...
Classes 2 Samples per class 212(M),357(B)...target_names ndarray of shape (2,) The names of target classes....scikit-learn.org/stable/modules/generated/sklearn.datasets.load_breast_cancer.html -
completeness_score — scikit-learn 1.7.2 documen...
2 , 3 ], [ 0 , 0 , 1 , 1 ])) 0.999...([ 0 , 0 , 0 , 0 ], [ 0 , 1 , 2 , 3 ])) 0.0 Gallery examples #...scikit-learn.org/stable/modules/generated/sklearn.metrics.completeness_score.html -
PoissonRegressor — scikit-learn 1.7.2 documenta...
determination R^2. R^2 uses squared error and D^2 uses the deviance...PoissonRegressor () >>> X = [[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ], [ 4 , 3...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html -
Comparison of kernel ridge and Gaussian process...
period of this sine is thus \(2 \pi\) . We will reuse this information...= "True signal" , linewidth = 2 ) plt . scatter ( training_data...scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html -
1.10. Decision Trees — scikit-learn 1.7.2 docum...
[ 2 , 2 ]] >>> y = [ 0.5 , 2.5 ] >>> clf = tree...samples: >>> clf . predict ([[ 2. , 2. ]]) array([1]) In case that...scikit-learn.org/stable/modules/tree.html -
PLSRegression — scikit-learn 1.7.2 documentation
[ 2. , 2. , 2. ], [ 2. , 5. , 4. ]] >>> y =...= [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ], [ 11.9 , 12.3...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSRegression.html -
FactorAnalysis — scikit-learn 1.7.2 documentation
default=1e-2 Stopping tolerance for log-likelihood...Machine Learning, Chapter 12.2.4. Examples >>> from sklearn.datasets...scikit-learn.org/stable/modules/generated/sklearn.decomposition.FactorAnalysis.html