def test_correlations(self):
"""
Test correlation based coefficients: angular (abs, square), distance correlation.
"""
angular_dist = angular_distance(self.x, self.y_1)
sq_angular_dist = squared_angular_distance(self.x, self.y_1)
abs_angular_dist = absolute_angular_distance(self.x, self.y_1)
dist_corr = distance_correlation(self.x, self.y_1)
kullback_dist = kullback_leibler_distance(self.corr_A, self.corr_B)
norm_dist = norm_distance(self.corr_A, self.corr_B)
# Assigns pd.DataFrame as input
corr_A_df = pd.DataFrame(self.corr_A)
corr_B_df = pd.DataFrame(self.corr_B)
kullback_dist_df = kullback_leibler_distance(corr_A_df, corr_B_df)
norm_dist_df = norm_distance(corr_A_df, corr_B_df)
self.assertAlmostEqual(angular_dist, 0.67, delta=1e-2)
self.assertAlmostEqual(abs_angular_dist, 0.6703, delta=1e-2)
self.assertAlmostEqual(sq_angular_dist, 0.7, delta=1e-2)
self.assertAlmostEqual(dist_corr, 0.529, delta=1e-2)
self.assertAlmostEqual(kullback_dist, 0.250807852409, delta=1e-2)
self.assertAlmostEqual(norm_dist, 0.58255075616, delta=1e-2)
# Checking if return is consistent when input type is pd.DataFrame
self.assertAlmostEqual(kullback_dist_df, kullback_dist, delta=1e-2)
self.assertAlmostEqual(norm_dist_df, norm_dist, delta=1e-2)
dist_corr_y_2 = distance_correlation(self.x, self.y_2)
self.assertAlmostEqual(dist_corr_y_2, 0.5216, delta=1e-2)
def test_correlations(self):
"""
Test correlation based coefficients: angular (abs, square), distance correlation.
"""
angular_dist = angular_distance(self.x, self.y_1)
sq_angular_dist = squared_angular_distance(self.x, self.y_1)
abs_angular_dist = absolute_angular_distance(self.x, self.y_1)
dist_corr = distance_correlation(self.x, self.y_1)
self.assertAlmostEqual(angular_dist, 0.67, delta=1e-2)
self.assertAlmostEqual(abs_angular_dist, 0.6703, delta=1e-2)
self.assertAlmostEqual(sq_angular_dist, 0.7, delta=1e-2)
self.assertAlmostEqual(dist_corr, 0.529, delta=1e-2)
dist_corr_y_2 = distance_correlation(self.x, self.y_2)
self.assertAlmostEqual(dist_corr_y_2, 0.5216, delta=1e-2)