for testing and deploying your application
for finding and fixing issues
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from mcfly import modelgen
import numpy as np
from nose.tools import assert_equal, assert_equals
import unittest
class ModelGenerationSuite(unittest.TestCase):
"""Basic test cases."""
def test_regularization_is_float(self):
""" Regularization should be a float. """
reg = modelgen.get_regularization(0, 5)
assert type(reg) == np.float
def test_regularization_0size_interval(self):
""" Regularization from zero size interval [2,2] should be 10^-2. """
reg = modelgen.get_regularization(2, 2)
assert_equal(reg, 0.01)
def test_base_hyper_parameters_reg(self):
""" Base hyper parameter set should contain regularization. """
hyper_parameter_set = modelgen.generate_base_hyper_parameter_set()
assert 'regularization_rate' in hyper_parameter_set.keys()
def setUp(self):
np.random.seed(1234)
if __name__ == '__main__':
unittest.main()
NLeSC /
mcfly
