def test_poisson_fit(fit_intercept):
X, y = make_counts(n_samples=100, chunks=500)
pr = PoissonRegression(fit_intercept=fit_intercept)
pr.fit(X, y)
pr.predict(X)
pr.get_deviance(X, y)
if fit_intercept:
assert pr.intercept_ is not None
def xy_counts():
"""X, y pair for predicting counts"""
X, y = make_counts(n_samples=100, n_features=5, chunks=10)
return X, y
