title: Pytorch schedule learning rate
body: <p>I am trying to re-implement one paper, which suggests to adjust the learning rate as below:</p>
  <blockquote>
  <p>The learning rate is decreased by a <strong>factor</strong> of the regression value with patience epochs 10 on the <strong>change value</strong> of 0.0001.</p>
  </blockquote>
  <p>Should I use the <code>torch.optim.lr_scheduler.ReduceLROnPlateau()</code>?</p>
  <p>I am not sure what value should I pass to each parameter.</p>
  <ol>
  <li><p>Is the <strong>change value</strong> in the statement denotes to the parameter <strong>threshold</strong>?</p>
  </li>
  <li><p>Is the <em>factor</em> in the statement denotes to the parameter <strong>factor</strong>?</p>
  </li>
  </ol>