set for each partition/node during online training. If this is non-positive, the dataset is not resampled and 1/k of the data (where k is the number of compute nodes) is sharded to each compute node. If set to a positive value, a, then a/k of the data is sampled for each data partition <strong>on each epoch</strong>. See user guide for more details.</td>
    </tr>
    <tr>
      <td align="right"><code>mandolin.mmlp.print-feature-file</code> </td>
      <td>A file path that will receive a list of all the fe