Hi,
I am using python and I am saving my results as a combination of the model together with the results as follows:
import os, sys
import pystan
import pickle
# get the model
stan_model = pystan.StanModel(file=model_path)
# fit it
fit_temp = stan_model.sampling(data=data_bandit_temp,
chains=4, iter=2000, warmup=1000, thin=1, init='random', verbose=True,
control = {"adapt_delta":0.95, "stepsize":1, "max_treedepth":10}, n_jobs=-1)
# save both results with the model
with open(save_path, "wb") as whata: #Pickling
pickle.dump({"model" : stan_model, "outputs" : fit_temp}, whata)
print('Saved results to ', save_path)
The problem is then when I’m loading it back it looks like the output was truncated the same way as when you just run fit_temp
in a cell:
#save the output and the model
with open(os.path.join(load_path), "rb") as fp: # Unpickling
results_load = pickle.load(fp)
and I get regardless of using print(fit_temp)
or just the variable as now (run in Jupyter):
WARNING:pystan:Truncated summary with the 'fit.__repr__' method. For the full summary use 'print(fit)'
{'model': <pystan.model.StanModel at 0x19d06596b00>,
'outputs':
Warning: Shown data is truncated to 100 parameters
For the full summary use 'print(fit)'
Inference for Stan model: anon_model_6678bc9cc0772a1eb46d99989a774102.
4 chains, each with iter=2000; warmup=1000; thin=1;
post-warmup draws per chain=1000, total post-warmup draws=4000.
.
.
.
What i going on? Is only the first 100 values saved? How can I save ful output?
I’m on Win10,
- numpy 1.16.2,
- pystan 2.19.1.1
- pickle unknown
- sys 3.7.3 (default, Mar 27 2019, 17:13:21) [MSC v.1915 64 bit (AMD64)]
Thanks.