def store_coeff(self,name,value,fnames=None,jsonformat=True):
if jsonformat:
d = {"coeffs":[round(x,3) for x in list(value)]}
if fnames is not None: d["fnames"] = list(fnames)
open(os.path.join(misc.coef_dir(),name+'.json'),'w').write(simplejson.dumps(d,indent=4))
else:
colname1 = (name,'coeffs')
colname2 = (name,'fnames')
if colname1 in self.coeffs: del self.coeffs[colname1]
if colname2 in self.coeffs: del self.coeffs[colname2]
d = {colname1:value}
if fnames is not None: d[colname2] = fnames
self.coeffs = pd.concat([self.coeffs,pd.DataFrame(d)],axis=1)
def load_fnames(self,name,jsonformat=True):
if jsonformat:
d = simplejson.loads(open(os.path.join(misc.coef_dir(),name+'.json')).read())
return d["fnames"]
else:
return self.coeffs[(name,'fnames')].dropna()
def load_coeff(self,name,jsonformat=True):
if jsonformat:
d = simplejson.loads(open(os.path.join(misc.coef_dir(),name+'.json')).read())
return np.array(d["coeffs"])
else:
return self.coeffs[(name,'coeffs')].dropna()
