>>> from sklearn.neural_network import MLPRegressor
>>> MLPRegressor(solver='lbfgs').fit([[1], [0]], [1, 0])
Traceback (most recent call last):
  File "<ipython-input-4-b1bc97e0c38c>", line 1, in <module>
    MLPRegressor(solver='lbfgs').fit([[1], [0]], [1, 0])
  File "/home/ogrisel/code/scikit-learn/sklearn/neural_network/multilayer_perceptron.py", line 616, in fit
    return self._fit(X, y, incremental=False)
  File "/home/ogrisel/code/scikit-learn/sklearn/neural_network/multilayer_perceptron.py", line 323, in _fit
    self._validate_hyperparameters()
  File "/home/ogrisel/code/scikit-learn/sklearn/neural_network/multilayer_perceptron.py", line 429, in _validate_hyperparameters
    (self.solver, ", ".join(supported_solvers)))
ValueError: The solver lbfgs is not supported.  Expected one of: sgd, adam, lbgfs