sFunction method)</a>
</li>
        <li><a href="losses.html#hep_ml.losses.MSELossFunction.compute_optimal_step">(hep_ml.losses.MSELossFunction method)</a>
</li>
      </ul></li>
  </ul></td>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="gb.html#hep_ml.gradientboosting.KnnAdaLossFunction.compute_parameters">compute_parameters() (hep_ml.gradientboosting.KnnAdaLossFunction method)</a>

      <ul>
        <li><a href="losses.html#hep_ml.losses.KnnAdaLossFunction.compute_parameters">(he