def _evaluateSequence(self, f, seq, verbose=False):
"""Return the ponderated MSE over one sequence."""
totalError = 0.
ponderation = 0.
for input, target in seq:
res = f(input)
e = 0.5 * sum((target - res).flatten() ** 2)
totalError += e
ponderation += len(target)
if verbose:
print 'out: ', fListToString(list(res))
print 'correct:', fListToString(target)
print 'error: % .8f' % e
return totalError, ponderation
def _evaluateSequence(self, f, seq, verbose=False):
""" return the importance-ponderated MSE over one sequence. """
totalError = 0
ponderation = 0.
for input, target, importance in seq:
res = f(input)
e = 0.5 * dot(importance.flatten(), ((target - res).flatten() ** 2))
totalError += e
ponderation += sum(importance)
if verbose:
print 'out: ', fListToString(list(res))
print 'correct: ', fListToString(target)
print 'importance:', fListToString(importance)
print 'error: % .8f' % e
return totalError, ponderation