title: Subsample size in scikit-learn RandomForestClassifier
body: <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>