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sklearn.kernel_ridge — scikit-learn 1.7.1 docum...
top Ctrl + K GitHub Choose version sklearn.kernel_ridge # Kernel...Kernel ridge regression. User guide. See the Kernel ridge regression...scikit-learn.org/stable/api/sklearn.kernel_ridge.html -
Imputing missing values before building an esti...
make_pipeline ( RobustScaler (), imputer ) ) x_labels . append ( "KNN Imputation"...ror" , cv = N_SPLITS ) return scores . mean (), scores . std...scikit-learn.org/stable/auto_examples/impute/plot_missing_values.html -
Effect of varying threshold for self-training —...
random_state = 42 ) x_values = np . arange ( 0.4 , 1.05 , 0.05 ) x_values...2 , color = "b" ) ax1 . set_ylabel ( "Accuracy" , color = "b"...scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html -
KMeans — scikit-learn 1.7.1 documentation
cluster. KMeans ( n_clusters = 8 , * , init = 'k-means++' , n_init...clustering . init {‘k-means++’, ‘random’}, callable or array-like of...scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html -
KNeighborsTransformer — scikit-learn 1.7.1 docu...
+ 1) neighbors. algorithm {‘auto’, ‘ball_tree’, ‘kd_tree’, ‘brute’},...out are: ["class_name0", "class_name1", "class_name2"] . Parameters...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsTransformer.html -
Label Propagation circles: Learning a complex s...
inner , 1 ], color = "c" , marker = "s" , lw = 0 , label = "inner...labels == - 1 , 1 ], color = "darkorange" , marker = "." , label...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_structure.html -
Bunch — scikit-learn 1.7.1 documentation
Bunch ( a = 1 , b = 2 ) >>> b [ 'b' ] 2 >>> b . b 2 >>> b . a =...KeyError. popitem ( / ) # Remove and return a (key, value) pair...scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html -
8.1. Toy datasets — scikit-learn 1.7.1 document...
Intelligence, Vol. PAMI-2, No. 1, 67-71. Gates, G.W. (1972) “The Reduced...length: 4.3 7.9 5.84 0.83 0.7826 sepal width: 2.0 4.4 3.05 0.43 -0.4194...scikit-learn.org/stable/datasets/toy_dataset.html -
1.16. Probability calibration — scikit-learn 1....
discriminatory power, e.g. using many more features. 1.16.1. Calibration...closer to 0 and 1 than it should. 1.16.3. Usage # The CalibratedClassifier...scikit-learn.org/stable/modules/calibration.html -
9. Computing with scikit-learn — scikit-learn 1...
management, and configuration 9.3.1. Parallelism 9.3.2. Configuration...Computational Performance 9.2.1. Prediction Latency 9.2.2. Prediction Throughput...scikit-learn.org/stable/computing.html