def test_get_params():
"""Assert that get_params returns the exact dictionary of parameters used by TPOT"""
kwargs = {
'population_size': 500,
'generations': 1000,
'config_dict': 'TPOT light',
'offspring_size': 2000,
'verbosity': 1
}
tpot_obj = TPOTClassifier(**kwargs)
# Get default parameters of TPOT and merge with our specified parameters
initializer = inspect.getargspec(TPOTBase.__init__)
default_kwargs = dict(zip(initializer.args[1:], initializer.defaults))
default_kwargs.update(kwargs)
# update to dictionary instead of input string
default_kwargs.update({'config_dict': classifier_config_dict_light})
assert tpot_obj.get_params()['config_dict'] == default_kwargs['config_dict']
assert tpot_obj.get_params() == default_kwargs
def test_get_params():
"""Assert that get_params returns the exact dictionary of parameters used by TPOT"""
kwargs = {'population_size': 500, 'generations': 1000, 'verbosity': 1}
tpot_obj = TPOTClassifier(**kwargs)
# Get default parameters of TPOT and merge with our specified parameters
initializer = inspect.getargspec(TPOTBase.__init__)
default_kwargs = dict(zip(initializer.args[1:], initializer.defaults))
default_kwargs.update(kwargs)
assert tpot_obj.get_params() == default_kwargs
def test_get_params():
"""Assert that get_params returns the exact dictionary of parameters used by TPOT"""
kwargs = {
'population_size': 500,
'generations': 1000,
'verbosity': 1
}
tpot_obj = TPOTClassifier(**kwargs)
# Get default parameters of TPOT and merge with our specified parameters
initializer = inspect.getargspec(TPOTBase.__init__)
default_kwargs = dict(zip(initializer.args[1:], initializer.defaults))
default_kwargs.update(kwargs)
assert tpot_obj.get_params() == default_kwargs
