- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 941 - 950 of 2,960 for 1 (0.8 sec)
-
Inductive Clustering — scikit-learn 1.6.1 docum...
cluster_std = [ 1.0 , 1.0 , 0.5 ], centers = [( - 5.... scatter ( X [:, 0 ], X [:, 1 ], c = color , alpha = alpha ,...scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html -
3.1. Cross-validation: evaluating estimator per...
3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3] [0 1]...>>> y = [ 1 , 1 , 1 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/cross_validation.html -
EmpiricalCovariance — scikit-learn 1.6.1 docume...
Added in version 1.0. See also EllipticEnvelope An...scikit-learn.org/stable/modules/generated/sklearn.covariance.EmpiricalCovariance.html -
Ability of Gaussian process regression (GPR) to...
reshape ( - 1 , 1 ) y = target_generator ( X ,..., size = 20 ) . reshape ( - 1 , 1 ) y_train = target_generator...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy.html -
root_mean_squared_log_error — scikit-learn 1.6....
Added in version 1.4. Parameters : y_true array-like...scikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_log_error.html -
Permutation Importance vs Random Forest Feature...
unknown_value =- 1 , encoded_missing_value =- 1 ) numerical_pipe...Forests”, Machine Learning, 45(1), 5-32, 2001. # Authors: The scikit-learn...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html -
Iso-probability lines for Gaussian Processes cl...
1 , ( 1e-5 , np . inf )) * DotProduct ( sigma_0 = 0.1 ) **...( 0 , 1 ) plt . plot ( X [ y <= 0 , 0 ], X [ y <= 0 , 1 ], "r."...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_isoprobability.html -
Normal, Ledoit-Wolf and OAS Linear Discriminant...
n_features_range = range ( 1 , n_features_max + 1 , step ) for n_features...n_samples = n_samples , n_features = 1 , centers = [[ - 2 ], [ 2 ]])...scikit-learn.org/stable/auto_examples/classification/plot_lda.html -
Related Projects — scikit-learn 1.6.1 documenta...
As of scikit-learn version 1.3.0, there is HDBSCAN . Pre-processing...encoders. As of scikit-learn version 1.3.0, there is TargetEncoder ....scikit-learn.org/stable/related_projects.html -
Post-hoc tuning the cut-off point of decision f...
boxplot ( ax = ax [ 1 ]) ax [ 1 ] . set_title ( "Tuned model"...scikit-learn 1.5 Release Highlights for scikit-learn 1.5 Effect of...scikit-learn.org/stable/auto_examples/model_selection/plot_tuned_decision_threshold.html