API reference¶
One page per public class and function, generated from docstrings via
sphinx.ext.autosummary. This covers ogboost.__all__ – the full
supported public surface.
Gradient Boosting for Ordinal Regression. |
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A collection of static methods that implement common link functions for ordinal regression, along with their derivatives and inverse functions. |
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Compute the concordance index (C-index) for ordinal predictions, optionally weighted by sample weights. |
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Generate a flat list of heterogeneous base learner instances by applying independent hyperparameter sampling to each template. |
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Loads the wine quality dataset from the UCI repository. |
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A basic scikit-learn wrapper for statsmodels' OrderedModel (linear ordinal regression). |