def start_from(self, val):
if val is None:
self._start_from = val
return
if '$' in val:
from pyRSD.rsdfit.parameters.tools import replace_vars
val = replace_vars(val, {})
import os
if not os.path.exists(val):
raise RuntimeError("cannot set `start_from` to `%s`: no such file" %val)
if os.path.isdir(val):
from glob import glob
from pyRSD.rsdfit.results import EmceeResults, LBFGSResults
import operator
pattern = os.path.join(val, "*.npz")
result_files = glob(pattern)
if not len(result_files):
raise RuntimeError("did not find any chain (`.npz`) files matching pattern `%s`" %pattern)
# find the chain file which has the maximum log prob in it and use that
max_lnprobs = []
for f in result_files:
try:
r = EmceeResults.from_npz(f)
max_lnprobs.append(r.max_lnprob)
except:
r = LBFGSResults.from_npz(f)
max_lnprobs.append(-r.min_chi2)
index, value = max(enumerate(max_lnprobs), key=operator.itemgetter(1))
self._start_from = result_files[index]
else:
self._start_from = val
def output(self, val):
if '$' in val:
from pyRSD.rsdfit.parameters.tools import replace_vars
val = replace_vars(val, {})
self._output = val
def model_file(self, val):
if '$' in val:
from pyRSD.rsdfit.parameters.tools import replace_vars
val = replace_vars(val, {})
self._model_file = val