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Pipelines and composite estimators — scikit-lea...
Examples of how to compose transformers and pipelines from other estimators. See the User Guide. Column Transformer with Heterogeneous Data Sources Column Transformer with Mixed Types Concatenating...scikit-learn.org/stable/auto_examples/compose/index.html -
sklearn.inspection — scikit-learn 1.8.0 documen...
Tools for model inspection. User guide. See the Inspection section for further details. Plotting:scikit-learn.org/stable/api/sklearn.inspection.html -
sklearn.manifold — scikit-learn 1.8.0 documenta...
Data embedding techniques. User guide. See the Manifold learning section for further details.scikit-learn.org/stable/api/sklearn.manifold.html -
Importance of Feature Scaling — scikit-learn 1....
standard deviation of 1 and a mean of 0. Even if tree based models...values which vary between 0 and 1,000; whereas the variable “hue”...scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.html -
Label Propagation circles: Learning a complex s...
inner = 0 , 1 labels = np . full ( n_samples , - 1.0 ) labels...X [ labels == - 1 , 0 ], X [ labels == - 1 , 1 ], color = "darkorange"...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_structure.html -
Effect of varying threshold for self-training —...
1.05 , 0.05 ) x_values = np . append ( x_values , 0.99999 )...gamma = 0.001 , random_state = 42 ) x_values = np . arange ( 0.4 ,...scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html -
1.10. Decision Trees — scikit-learn 1.8.0 docum...
tree >>> X = [[ 0 , 0 ], [ 1 , 1 ]] >>> Y = [ 0 , 1 ] >>> clf = tree...([ 0 , 1 , 2 , 3 ]) . reshape ( - 1 , 1 ) >>> y = [ 0 , 1 , 1...scikit-learn.org/stable/modules/tree.html -
2.4. Biclustering — scikit-learn 1.8.0 document...
arange ( 100 ) . reshape ( 10 , 10 ) >>> rows = np . array ([ 0 , 2...instance, given a matrix of shape (10, 10) , one possible bicluster with...scikit-learn.org/stable/modules/biclustering.html -
8.1. Toy datasets — scikit-learn 1.8.0 document...
Flavanoids: 0.34 5.08 2.03 1.00 Nonflavanoid Phenols: 0.13 0.66 0.36 0.12...1.3 13.0 5.1 2.3 Hue: 0.48 1.71 0.96 0.23 OD280/OD315 of diluted...scikit-learn.org/stable/datasets/toy_dataset.html -
SVM Margins Example — scikit-learn 1.8.0 docume...
Y = [ 0 ] * 20 + [ 1 ] * 20 # figure number fignum = 1 # fit...penalty in (( "unreg" , 1 ), ( "reg" , 0.05 )): clf = svm . SVC (...scikit-learn.org/stable/auto_examples/svm/plot_svm_margin.html