def get_fit_larger_uncertainties():
"""
Returns fit file for unit tests, uses data with larger uncertainties.
"""
info_path = InfoPath(path='temp_data',
dir_name="a01_eight_schools_large_uncert",
sub_dir_name=InfoPath.DO_NOT_CREATE)
run(info_path=info_path, func=run_model, data=get_data())
# Use data with increased uncertainties
data = get_data()
data["sigma"] = [u * 2 for u in data["sigma"]]
return run(info_path=info_path, func=run_model, data=data)
def get_fit2():
"""
Returns fit file for unit tests, uses data with larger uncertainties.
"""
info_path = InfoPath(path='temp_data',
dir_name="a02_gaussian_mixture2",
sub_dir_name=InfoPath.DO_NOT_CREATE)
return run(info_path=info_path, func=run_model, data=get_data2())
def get_fit():
"""
Returns fit file for unit tests.
"""
info_path = InfoPath(path='temp_data',
dir_name="a01_eight_schools",
sub_dir_name=InfoPath.DO_NOT_CREATE)
return run(info_path=info_path, func=run_model, data=get_data())
def run_model():
data = {
"J": 8,
"y": [28, 8, -3, 7, -1, 1, 18, 12],
"sigma": [15, 10, 16, 11, 9, 11, 10, 18]
}
# Will only run Stan once and cache the samples to disk
fit = run(func=run_stan, mydata=data)
print('\nColumn names: ')
print(fit.column_names)
def get_fit1_divorse_age():
info_path = InfoPath(path='temp_data',
dir_name="a05_divorse1_divorse_age",
sub_dir_name=InfoPath.DO_NOT_CREATE)
iters = get_iters()
data = get_data1_divorse_age()
return run(info_path=info_path,
func=run_model1_divorse_age,
data=data,
sampling_iters=iters["sampling_iters"],
warmup_iters=iters["warmup_iters"])
def test_run():
outdir = "tarpan/cmdstanpy/model_info/cache_test"
if os.path.isdir(outdir):
shutil.rmtree(outdir)
data = {"count": 1}
fit = run(myfunc, data=data)
assert os.path.isfile(os.path.join(outdir, "stan_cache", "fit.pkl"))
assert 'tau' in fit.column_names
assert fit.get_drawset()['tau'].shape == (1000,)
# Call it again
fit = run(myfunc, data=data)
assert 'tau' in fit.column_names
assert fit.get_drawset()['tau'].shape == (1000,)
# Ensure `myfunc` was called once
assert data["count"] == 2
def get_fit3_treatment():
"""
Returns fit file for unit tests.
"""
info_path = InfoPath(path='temp_data',
dir_name="a04_height3_treatment",
sub_dir_name=InfoPath.DO_NOT_CREATE)
iters = get_iters()
data = get_data3_treatment()
return run(info_path=info_path,
func=run_model3_treatment,
data=data,
sampling_iters=iters["sampling_iters"],
warmup_iters=iters["warmup_iters"])
