(self, softmax)
return np.reshape(note_enc, (rl_tuner_ops.NUM_CLASSES))
Extracts a one-hot encoding of the most probable note.

    Args:
      softmax: Softmax probabilities over possible next notes.
    Returns:
      One-hot encoding of most probable note.
Extracts a one-hot encoding of the most probable note.
Extracts a one - hot encoding of the most probable note .
def get_note_from_softmax(self, softmax):
    """Extracts a one-hot encoding of the most probable note.

    Args:
      softmax: Softmax probabilities over possible next notes.
    Returns:
      One-hot encoding of most probable note.
    """

    note_idx = np.argmax(softmax)
    note_enc = rl_tuner_ops.make_onehot([note_idx], rl_tuner_ops.NUM_CLASSES)
    return np.reshape(note_enc, (rl_tuner_ops.NUM_CLASSES))
def get_note_from_softmax ( self , softmax ) : note_idx = np . argmax ( softmax ) note_enc = rl_tuner_ops . make_onehot ( [ note_idx ] , rl_tuner_ops . NUM_CLASSES ) return np . reshape ( note_enc , ( rl_tuner_ops . NUM_CLASSES ) )