ction method)</a>
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        <li><a href="gb.html#hep_ml.gradientboosting.UGradientBoostingClassifier.fit">(hep_ml.gradientboosting.UGradientBoostingClassifier method)</a>
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        <li><a href="gb.html#hep_ml.gradientboosting.UGradientBoostingRegressor.fit">(hep_ml.gradientboosting.UGradientBoostingRegressor method)</a>
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        <li><a href="losses.html#hep_ml.losses.AbstractLossFunction.fit">(hep_ml.losses.AbstractLossFunction method)</a>
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        <li><a href="losses.html#hep_ml.losses.Ad