title: sklearn: How to reset a Regressor or classifier object in sknn
body: <p>I have defined a regressor as follows:</p>
  
  <pre><code>nn1 = Regressor(
  layers=[
      Layer("Rectifier", units=150),
      Layer("Rectifier", units=100),
      Layer("Linear")],
  regularize="L2",
  # dropout_rate=0.25,
  learning_rate=0.01,
  valid_size=0.1,
  learning_rule="adagrad",
  verbose=False,
  weight_decay=0.00030,
  n_stable=10,
  f_stable=0.00010,
  n_iter=200)
  </code></pre>
  
  <p>I am using this regressor in a k-fold cross-validation. In order for cross-validation to work properly and not learn from the previous folds, it's necessary that the regressor to be reset after each fold.<br>
  How can I reset the regressor object?</p>