def predictwithViewPoint(state, viewPoint):
moved = copy.deepcopy(state)
for m in viewPoint[0]["mean"]:
moved[m] = viewPoint[0]["mean"][m]
moved = encoder.retransformforViewPoint(moved, viewPoint[0]["base"],
viewPoint[0]["ref"])
output = {}
for s in state:
if s in viewPoint[0]["mean"]:
output[s] = moved[s]
else:
output[s] = state[s]
return output
def predictwithViewPoint(state, viewPoint):
moved = copy.deepcopy(state)
base = viewPoint["base"]
ref = viewPoint["ref"]
mean = viewPoint["mean"]
for m in mean:
moved[m] = viewPoint["mean"][m]
moved = encoder.retransformforViewPoint(moved, base, ref)
output = {}
for s in state:
if s in mean:
output[s] = moved[s]
else:
output[s] = state[s]
return output