def test_pca():
"""Ensure that the TPOT PCA outputs the input dataframe when no. of training features is 0"""
tpot_obj = TPOT()
assert np.array_equal(
tpot_obj._pca(training_testing_data.ix[:, -3:], 1, 1),
training_testing_data.ix[:, -3:])
def test_rbf():
"""Assert that the TPOT RBFSampler outputs the input dataframe when # of
training features is 0"""
tpot_obj = TPOT()
assert np.array_equal(tpot_obj._pca(training_testing_data.ix[:,-3:], 0.1, 3),
training_testing_data.ix[:,-3:])
def test_rbf():
"""Assert that the TPOT RBFSampler outputs the input dataframe when # of
training features is 0"""
tpot_obj = TPOT()
assert np.array_equal(
tpot_obj._pca(training_testing_data.ix[:, -3:], 0.1, 3),
training_testing_data.ix[:, -3:])
def test_pca():
"""Ensure that the TPOT PCA outputs the input dataframe when no. of training features is 0"""
tpot_obj = TPOT()
assert np.array_equal(tpot_obj._pca(training_testing_data.ix[:, -3:], 1), training_testing_data.ix[:, -3:])
