def calcDistMetric(r, m):
if ((r[0] == 0) and (m[0] == 0)) or ((r[0] == 1) and (m[0] == 1)):
return 0.0
else:
# get initial states
rI = initialState(r)
mI = initialState(m)
dists = []
for a in actionList:
oR, rI = transExternal.simulate(rI, a)
oM, mI = transExternal.simulate(mI, a)
dists.append(distOs(oR, oM))
return np.mean(dists)
def calcDistMetric(r,m):
if ((r[0] == 0) and (m[0] == 0)) or ((r[0] == 1) and (m[0] == 1)):
return 0.0
else:
# get initial states
rI = initialState(r)
mI = initialState(m)
dists = []
for a in actionList:
oR,rI = transExternal.simulate(rI,a)
oM,mI = transExternal.simulate(mI,a)
dists.append(distOs(oR,oM))
return np.mean(dists)
misClass[rAll[-1][0]] += 1
misClassMT[rAll[-1][0]][mAll[-1][0]] += 1
# and
# calculate distance metric for every step
for r, m in zip(rAll, mAll):
if ((r[0] == 0) and (m[0] == 0)) or ((r[0] == 1) and (m[0] == 1)):
errors[rAll[-1][0]][-1].append(0)
else:
# get initial states
rI = initialState(r)
mI = initialState(m)
dists = []
for a in actionList:
oR, rI = transExternal.simulate(rI, a)
oM, mI = transExternal.simulate(mI, a)
dists.append(distOs(oR, oM))
errors[rAll[-1][0]][-1].append(np.mean(dists))
else:
# iterate over states
for i, (rAll, mAll) in enumerate(zip(rStatesSave, mStatesSave)):
print i
# check for misclassification
if rAll[-1][0] != mAll[-1][0]:
# misclassified
misClass[rAll[-1][0]] += 1
misClassMT[rAll[-1][0]][mAll[-1][0]] += 1
else:
misClass[rAll[-1][0]] += 1
misClassMT[rAll[-1][0]][mAll[-1][0]] += 1
# and
# calculate distance metric for every step
for r,m in zip(rAll,mAll):
if ((r[0] == 0) and (m[0] == 0)) or ((r[0] == 1) and (m[0] == 1)):
errors[rAll[-1][0]][-1].append(0)
else:
# get initial states
rI = initialState(r)
mI = initialState(m)
dists = []
for a in actionList:
oR,rI = transExternal.simulate(rI,a)
oM,mI = transExternal.simulate(mI,a)
dists.append(distOs(oR,oM))
errors[rAll[-1][0]][-1].append(np.mean(dists))
else:
# iterate over states
for i,(rAll,mAll) in enumerate(zip(rStatesSave,mStatesSave)):
print i
# check for misclassification
if rAll[-1][0] != mAll[-1][0]:
# misclassified
misClass[rAll[-1][0]] += 1
misClassMT[rAll[-1][0]][mAll[-1][0]] += 1
else:
