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
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)
