def test_unknown_cross_validation():
# load the data sample
df = get_sample()
# create a Variogram
V = Variogram(df[['x', 'y']].values,
df.z.values,
model='exponential',
n_lags=25)
with pytest.raises(AttributeError) as e:
V.cross_validate(method='foobar')
assert "'foobar' is not implemented" in str(e.value)
def test_jacknife():
# load the data sample
df = get_sample()
# create a Variogram
V = Variogram(df[['x', 'y']].values,
df.z.values,
model='exponential',
n_lags=25)
rmse = V.cross_validate(n=30, seed=42)
assert rmse - 16.623 < 0.1
