def test_from_file(samples_filename, test_samples_filename, results_filename):
""" Perform test on network from specified sample filenames """
sample_set = SampleSet()
sample_set.init_from_file(samples_filename)
testing_set = SampleSet()
testing_set.init_from_file(test_samples_filename)
perform_test(sample_set, testing_set, results_filename)
def test_from_file(samples_filename, test_samples_filename, results_filename):
""" Perform test on network from specified sample filenames """
sample_set = SampleSet()
sample_set.init_from_file(samples_filename)
testing_set = SampleSet()
testing_set.init_from_file(test_samples_filename)
perform_test(sample_set, testing_set, results_filename)
def train_network(samples_filename, weights_filename):
""" Perform training on network from file and saved weights. """
sample_set = SampleSet()
sample_set.init_from_file(samples_filename)
net = HopfieldNet(sample_set.sample_size)
net.initialize()
for sample in sample_set:
net.train(sample)
save_weights_to_file(net.weights, weights_filename)
def test_network(weights_filename, samples_filename):
""" Perform testing on network from weights file."""
weights = read_weights_from_file(weights_filename)
net = HopfieldNet(len(weights), weights)
sample_set = SampleSet()
sample_set.init_from_file(samples_filename)
results = []
for sample in sample_set:
results.append(net.test(sample))
return results
