def check_pickle(obj):
fh = BytesIO()
cPickle.dump(obj, fh, protocol=cPickle.HIGHEST_PROTOCOL)
plen = fh.tell()
fh.seek(0, 0)
res = cPickle.load(fh)
fh.close()
return res, plen
def check_pickle(obj):
fh = BytesIO()
cPickle.dump(obj, fh, protocol=cPickle.HIGHEST_PROTOCOL)
plen = fh.tell()
fh.seek(0, 0)
res = cPickle.load(fh)
fh.close()
return res, plen
def check_pickle(obj):
fh =StringIO()
cPickle.dump(obj, fh)
plen = fh.pos
fh.seek(0,0)
res = cPickle.load(fh)
fh.close()
return res, plen
def save_pickle(obj, fname):
"""
Save the object to file via pickling.
Parameters
----------
fname : str
Filename to pickle to
"""
with get_file_obj(fname, 'wb') as fout:
cPickle.dump(obj, fout, protocol=-1)
def save_pickle(obj, fname):
"""
Save the object to file via pickling.
Parameters
----------
fname : str
Filename to pickle to
"""
with get_file_obj(fname, 'wb') as fout:
cPickle.dump(obj, fout, protocol=-1)
#model = sm.Poisson(y_count, x)#, exposure=np.ones(nobs), offset=np.zeros(nobs)) #bug with default
results = model.fit()
#print results.predict(xf)
print(results.model.predict(results.params, xf))
results.summary()
shrinkit = 1
if shrinkit:
results.remove_data()
from statsmodels.compat.python import cPickle
fname = 'try_shrink%d_ols.pickle' % shrinkit
fh = open(fname, 'w')
cPickle.dump(results._results, fh) #pickling wrapper doesn't work
fh.close()
fh = open(fname, 'r')
results2 = cPickle.load(fh)
fh.close()
print(results2.predict(xf))
print(results2.model.predict(results.params, xf))
y_count = np.random.poisson(np.exp(x.sum(1)-x.mean()))
model = sm.Poisson(y_count, x)#, exposure=np.ones(nobs), offset=np.zeros(nobs)) #bug with default
results = model.fit(method='bfgs')
results.summary()
print(results.model.predict(results.params, xf, exposure=1, offset=0))