def save(self, filename='model.npz'):
    "Save weights, biases and hyperparameters of neural network to a\n        compressed binary. This ``.npz`` binary is saved in 'models' directory.\n\n        Parameters\n        ----------\n        filename : str, optional\n            Name of the ``.npz`` compressed binary in to be saved.\n\n        "
    np.savez_compressed(file=os.path.join(os.curdir, 'models', filename), weights=self.weights, biases=self.biases, mini_batch_size=self.mini_batch_size, epochs=self.epochs, eta=self.eta)
Save weights, biases and hyperparameters of neural network to a
compressed binary. This ``.npz`` binary is saved in 'models' directory.

Parameters
----------
filename : str, optional
    Name of the ``.npz`` compressed binary in to be saved.
def save(self, filename='model.npz'):
    "Save weights, biases and hyperparameters of neural network to a\n        compressed binary. This ``.npz`` binary is saved in 'models' directory.\n\n        Parameters\n        ----------\n        filename : str, optional\n            Name of the ``.npz`` compressed binary in to be saved.\n\n        "
    np.savez_compressed(file=os.path.join(os.curdir, 'models', filename), weights=self.weights, biases=self.biases, mini_batch_size=self.mini_batch_size, epochs=self.epochs, eta=self.eta)