Exemplos de run_training em Python

Exemplo n.º 1

    def testTrain(self):
        model = 'tests/test_data/minimodel.json'
        data = 'tests/test_data/hdf5/alphago-vs-lee-sedol-features.hdf5'
        output = 'tests/test_data/.tmp.training/'
        args = [model, data, output, '--epochs', '1']
        run_training(args)

        os.remove(os.path.join(output, 'metadata.json'))
        os.remove(os.path.join(output, 'shuffle.npz'))
        os.remove(os.path.join(output, 'weights.00000.hdf5'))
        os.rmdir(output)

Exemplo n.º 2

Arquivo: test_supervised_policy_trainer.py Projeto: madallion/AlphaGo

	def testTrain(self):
		model = 'tests/test_data/minimodel.json'
		data = 'tests/test_data/hdf5/alphago-vs-lee-sedol-features.hdf5'
		output = 'tests/test_data/.tmp.training/'
		args = [model, data, output, '--epochs', '1']
		run_training(args)

		os.remove(os.path.join(output, 'metadata.json'))
		os.remove(os.path.join(output, 'shuffle.npz'))
		os.remove(os.path.join(output, 'weights.00.hdf5'))
		os.rmdir(output)

Exemplo n.º 3

def run_supervised_policy_training():
    run_training(*arguments)

Exemplo n.º 4

Arquivo: supervised_policy_training_benchmark.py Projeto: guochangjiang/Python.learn

def run_supervised_policy_training():
	run_training(*arguments)