def create_model_from_data(self, data): model = Nayatani95( data["X"], data["Y"], data["Z"], data["X_n"], data["Y_n"], data["Z_n"], data["Y_o"], data["E_o"], data["E_or"], ) return model
def test_beta_2(): assert_almost_equal(Nayatani95._beta_2(0), 0.7844, decimal=6) assert_almost_equal(Nayatani95._beta_2(1), 1.375241343, decimal=6) assert_almost_equal(Nayatani95._beta_2(2), 1.59085866, decimal=6)
def test_beta_1(): assert_almost_equal(Nayatani95._beta_1(0), 1, decimal=6) assert_almost_equal(Nayatani95._beta_1(1), 1.717900656, decimal=6) assert_almost_equal(Nayatani95._beta_1(2), 1.934597896, decimal=6)
def create_model_from_data(self, data): model = Nayatani95(data['X'], data['Y'], data['Z'], data['X_n'], data['Y_n'], data['Z_n'], data['Y_o'], data['E_o'], data['E_or']) return model