def fit_one_case_data(args):
Params = Fitter()
region, data = args
r = fit_population(region)
if r is None:
return (region, Params.fit(data))
param = {"tMin": r['tMin'], "r0": np.exp(r['params'].rates.logR0), "initialCases": r["initialCases"]}
return (region, param)
def fit_one_case_data(args):
Params = Fitter()
region, data = args
r = fit_population(region)
if r is None:
return (region, Params.fit(data))
else:
if 'New York' in region:
print(f"Region {region}: {r['params']}", file=sys.stderr)
param = {"tMin": r['tMin'], "r0": np.exp(r['params'].rates.logR0), "initialCases": r["initialCases"]}
return (region, param)