def update(self, inp, tgt):
if self.online:
# train only one step online on current sample
self.predict(inp)
self.backward(tgt)
else:
# don't train, only update dataset
FA.update(self, inp, tgt)
def update(self, inp, tgt):
FA.update(self, inp, tgt)
inp = self._asFlatArray(inp)
tgt = self._asFlatArray(tgt)
self.pybdataset.addSample(inp, tgt)
