def test_inline_summary_without_validation(self):
with catch_stdout() as out:
network = algorithms.GradientDescent((2, 3, 1), verbose=True)
summary = InlineSummary(network)
network.last_epoch = 12
network.training.epoch_time = 0.1
network.errors.append(10)
network.validation_errors.append(None)
summary.show_last()
terminal_output = out.getvalue()
# training error is 10
self.assertIn("10", terminal_output)
# 0.1 sec
self.assertIn("0.1", terminal_output)
# 12th epoch
self.assertIn("12", terminal_output)
# No reference to validation error in the last line
output_lines = terminal_output.split('\n')
last_output_line = output_lines[-2]
self.assertNotIn("None", last_output_line)
def test_inline_summary_without_validation(self):
with catch_stdout() as out:
network = algorithms.GradientDescent((2, 3, 1), verbose=True)
summary = InlineSummary(network)
network.last_epoch = 12
network.training.epoch_time = 0.1
network.errors.append(10)
network.validation_errors.append(None)
summary.show_last()
terminal_output = out.getvalue()
# training error is 10
self.assertIn("10", terminal_output)
# 0.1 sec
self.assertIn("0.1", terminal_output)
# 12th epoch
self.assertIn("12", terminal_output)
# No reference to validation error in the last line
output_lines = terminal_output.split('\n')
last_output_line = output_lines[-2]
self.assertNotIn("None", last_output_line)
def test_inline_summary_with_validation(self):
with catch_stdout() as out:
network = algorithms.GradientDescent((2, 3, 1), verbose=True)
summary = InlineSummary(network)
network.last_epoch = 12
network.training.epoch_time = 0.1
network.errors.append(10)
network.validation_errors.append(20)
summary.show_last()
summary.finish()
terminal_output = out.getvalue()
# training error is 10
self.assertIn("10", terminal_output)
# validation error is 20
self.assertIn("20", terminal_output)
# 0.1 sec
self.assertIn("0.1", terminal_output)
# 12th epoch
self.assertIn("12", terminal_output)
def test_inline_summary_with_validation(self):
with catch_stdout() as out:
network = algorithms.GradientDescent((2, 3, 1), verbose=True)
summary = InlineSummary(network)
network.last_epoch = 12
network.training.epoch_time = 0.1
network.errors.append(10)
network.validation_errors.append(20)
summary.show_last()
summary.finish()
terminal_output = out.getvalue()
# training error is 10
self.assertIn("10", terminal_output)
# validation error is 20
self.assertIn("20", terminal_output)
# 0.1 sec
self.assertIn("0.1", terminal_output)
# 12th epoch
self.assertIn("12", terminal_output)