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d2_log_loss_score — scikit-learn 1.7.2 document...
Like R^2, D^2 score may be negative (it need...labels = None ) [source] # \(D^2\) score function, fraction of...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_log_loss_score.html -
Comparison of F-test and mutual information — s...
x_2, x_3 distributed uniformly over...follows: y = x_1 + sin(6 * pi * x_2) + 0.1 * N(0, 1), that is the...scikit-learn.org/stable/auto_examples/feature_selection/plot_f_test_vs_mi.html -
Detection error tradeoff (DET) curve — scikit-l...
n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state...ax_det ] = plt . subplots ( 1 , 2 , figsize = ( 11 , 5 )) ax_roc...scikit-learn.org/stable/auto_examples/model_selection/plot_det.html -
One-class SVM with non-linear kernel (RBF) — sc...
2 ) X_train = np . r_ [ X + 2 , X - 2 ] # Generate...randn ( 20 , 2 ) X_test = np . r_ [ X + 2 , X - 2 ] # Generate...scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html -
In Fess make Apache Solr based search server-pa...
2.0. About how to build a Fess Introduction...settings By installing a Fess 8.2.0. If you have not installed yet,...fess.codelibs.org/articles/article-3.html -
plot_tree — scikit-learn 1.7.2 documentation
Gallery examples: Plot the decision surface of decision trees trained on the iris dataset Understanding the decision tree structurescikit-learn.org/stable/modules/generated/sklearn.tree.plot_tree.html -
Recursive feature elimination — scikit-learn 1....
This example demonstrates how Recursive Feature Elimination ( RFE) can be used to determine the importance of individual pixels for classifying handwritten digits. RFE recursively removes the least...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html -
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.covariance — scikit-learn 1.7.2 documen...
Methods and algorithms to robustly estimate covariance. They estimate the covariance of features at given sets of points, as well as the precision matrix defined as the inverse of the covariance. C...scikit-learn.org/stable/api/sklearn.covariance.html -
sklearn.manifold — scikit-learn 1.7.2 documenta...
Data embedding techniques. User guide. See the Manifold learning section for further details.scikit-learn.org/stable/api/sklearn.manifold.html