def test_program_init_depth():
"""'full' should create constant depth programs for single depth limit"""
params = {'function_set': ['add2', 'sub2', 'mul2', 'div2',
'sqrt1', 'log1', 'abs1', 'max2', 'min2'],
'arities': {1: ['sqrt1', 'log1', 'abs1'],
2: ['add2', 'sub2', 'mul2', 'div2', 'max2', 'min2']},
'init_depth': (6, 6),
'n_features': 10,
'const_range': (-1.0, 1.0),
'metric': 'mean absolute error',
'p_point_replace': 0.05,
'parsimony_coefficient': 0.1}
random_state = check_random_state(415)
programs = []
for i in range(20):
programs.append(_Program(init_method='full',
random_state=random_state, **params))
full_depth = np.bincount([gp.depth_ for gp in programs])
programs = []
for i in range(20):
programs.append(_Program(init_method='half and half',
random_state=random_state, **params))
hnh_depth = np.bincount([gp.depth_ for gp in programs])
programs = []
for i in range(20):
programs.append(_Program(init_method='grow',
random_state=random_state, **params))
grow_depth = np.bincount([gp.depth_ for gp in programs])
assert_true(full_depth[-1] == 20)
assert_false(hnh_depth[-1] == 20)
assert_false(grow_depth[-1] == 20)
def test_program_init_depth():
"""'full' should create constant depth programs for single depth limit"""
params = {
'function_set':
[add2, sub2, mul2, div2, sqrt1, log1, abs1, max2, min2],
'arities': {
1: [sqrt1, log1, abs1],
2: [add2, sub2, mul2, div2, max2, min2]
},
'init_depth': (6, 6),
'n_features': 10,
'const_range': (-1.0, 1.0),
'metric': 'mean absolute error',
'p_point_replace': 0.05,
'parsimony_coefficient': 0.1
}
random_state = check_random_state(415)
programs = []
for i in range(20):
programs.append(
_Program(init_method='full', random_state=random_state, **params))
full_depth = np.bincount([gp.depth_ for gp in programs])
programs = []
for i in range(20):
programs.append(
_Program(init_method='half and half',
random_state=random_state,
**params))
hnh_depth = np.bincount([gp.depth_ for gp in programs])
programs = []
for i in range(20):
programs.append(
_Program(init_method='grow', random_state=random_state, **params))
grow_depth = np.bincount([gp.depth_ for gp in programs])
assert_true(full_depth[-1] == 20)
assert_false(hnh_depth[-1] == 20)
assert_false(grow_depth[-1] == 20)
def test_all_estimator_no_base_class():
# test that all_estimators doesn't find abstract classes.
for name, Estimator in all_estimators():
msg = ("Base estimators such as {0} should not be included"
" in all_estimators").format(name)
assert_false(name.lower().startswith('base'), msg=msg)
def test_all_estimator_no_base_class():
# test that all_estimators doesn't find abstract classes.
for name, Estimator in all_estimators():
msg = ("Base estimators such as {0} should not be included"
" in all_estimators").format(name)
assert_false(name.lower().startswith('base'), msg=msg)