def toKerasOptimizer(value):
"""
Check if a value is a valid name of Keras optimizer and return it.
Otherwise raise an error.
"""
if not kmutil.is_valid_optimizer(value):
err_msg = "Named optimizer not supported in Keras: [type {}] {}"
raise TypeError(err_msg.format(type(value), value))
return value
def toKerasOptimizer(value):
"""
Check if a value is a valid name of Keras optimizer and return it.
Otherwise raise an error.
"""
if not kmutil.is_valid_optimizer(value):
err_msg = "Named optimizer not supported in Keras: [type {}] {}"
raise TypeError(err_msg.format(type(value), value))
return value
def toKerasOptimizer(value):
if kmutil.is_valid_optimizer(value):
return value
raise TypeError(
"Named optimizer not supported in Keras: {} type({})".format(
value, type(value)))
def test_keras_training_utils(self):
self.assertTrue(kmutil.is_valid_optimizer('adam'))
self.assertFalse(kmutil.is_valid_optimizer('noSuchOptimizer'))
self.assertTrue(kmutil.is_valid_loss_function('mse'))
self.assertFalse(kmutil.is_valid_loss_function('noSuchLossFunction'))