Subsample size in scikit-learn RandomForestClassifier
<p>How is it possible to control the size of the subsample used for the training of each tree in the forest?
According to the documentation of scikit-learn:</p>

<blockquote>
  <p>A random forest is a meta estimator that fits a number of decision
  tree classifiers on various sub-samples of the dataset and use
  averaging to improve the predictive accuracy and control over-fitting.
  The sub-sample size is always the same as the original input sample
  size but the samples are drawn with replacement if bootstrap=True
  (default).</p>
</blockquote>

<p>So <code>bootstrap</code> allows randomness but can't find how to control the number of subsample.</p>