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sklearn.pipeline — scikit-learn 1.7.2 documenta...
Utilities to build a composite estimator as a chain of transforms and estimators. User guide. See the Pipelines and composite estimators section for further details.scikit-learn.org/stable/api/sklearn.pipeline.html -
Gradient Boosting regression — scikit-learn 1.7...
This example demonstrates Gradient Boosting to produce a predictive model from an ensemble of weak predictive models. Gradient boosting can be used for regression and classification problems. Here,...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html -
coverage_error — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version coverage_error # sklearn.metrics. coverage_error ( y_...scikit-learn.org/stable/modules/generated/sklearn.metrics.coverage_error.html -
dcg_score — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version dcg_score # sklearn.metrics. dcg_score ( y_true , y_s...scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html -
r2_score — scikit-learn 1.7.2 documentation
Gallery examples: Effect of transforming the targets in regression model Failure of Machine Learning to infer causal effects L1-based models for Sparse Signals Non-negative least squares Ordinary L...scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html -
power_transform — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version power_transform # sklearn.preprocessing. power_transf...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.power_transform.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 -
rand_score — scikit-learn 1.7.2 documentation
Gallery examples: Adjustment for chance in clustering performance evaluationscikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
SGD: Penalties — scikit-learn 1.7.2 documentation
Contours of where the penalty is equal to 1 for the three penalties L1, L2 and elastic-net. All of the above are supported by SGDClassifier and SGDRegressor. Total running time of the script:(0 min...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_penalties.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