ml#hep_ml.uboost.uBoostBDT.feature_importances_">feature_importances_ (hep_ml.uboost.uBoostBDT property)</a>
</li>
      <li><a href="gb.html#hep_ml.gradientboosting.AdaLossFunction.fit">fit() (hep_ml.gradientboosting.AdaLossFunction method)</a>

      <ul>
        <li><a href="gb.html#hep_ml.gradientboosting.LogLossFunction.fit">(hep_ml.gradientboosting.LogLossFunction method)</a>
</li>
        <li><a href="gb.html#hep_ml.gradientboosting.RankBoostLossFunction.fit">(hep_ml.gradientboosting.RankBoostLossFun