def generate_statistics(self, filename=TRAINING_DATA_FILENAME):
"""
Run the module. Play 2048 50 times using random player, then 50 times using the neural network. Report results.
:return: Results from all 100 playings, in two lists. One list for random, and one for intelligent
"""
results = []
try:
for _ in range(50):
# Training the neural network
self.ann = Ann(self.hidden_layer_sizes,
self.activation_functions, 16, 4,
self.learning_rate, self.error_limit,
self.batch_size, self.max_epochs)
self.train(filename)
# Playing using the neural network
results.append(self.play_intelligently())
except KeyboardInterrupt:
pass
logging.info(
'Completed playing the intelligent games. Mean highest value: %f' %
numpy.mean(results))
return results
def __init__(self,
hidden_layer_sizes,
activation_functions,
max_epochs,
learning_rate,
error_limit,
batch_size=100):
self.hidden_layer_sizes = hidden_layer_sizes
self.activation_functions = activation_functions
self.max_epochs = max_epochs
self.learning_rate = learning_rate
self.error_limit = error_limit
self.batch_size = batch_size
self.ann = Ann(hidden_layer_sizes, activation_functions, 16, 4,
learning_rate, error_limit, batch_size, max_epochs)
def __init__(self, hidden_layer_sizes, activation_functions, learning_rate=0.1, error_limit=1e-4, max_epochs=50):
self.ann = Ann(hidden_layer_sizes, activation_functions, learning_rate=learning_rate,
error_limit=error_limit, max_epochs=max_epochs)
