def post(self):
data = self.get_arguments("data[]")
result = ""
feedback = Validator.validate_feedback(data)
if len(feedback) > 0:
MachineLoader.feedback(machines.number_recognizer, feedback)
else:
result = "feedback format is wrong."
resp = {"result": result}
self.write(resp)
def post(self):
data = self.get_arguments("data[]")
result = ""
feedback = Validator.validate_feedback(data)
if len(feedback) > 0:
MachineLoader.feedback(machines.number_recognizer, feedback)
else:
result = "feedback format is wrong."
resp = {"result": result}
self.write(resp)
def post(self):
data = self.get_arguments("data[]")
result = ""
feedback = Validator.validate_feedback(data)
if len(feedback) > 0:
# save feedback to file
MachineLoader.feedback(machines.number_recognizer, feedback)
# online training
machine = MachineLoader.load(machines.number_recognizer)
machine.partial_fit(feedback[1:], [feedback[0]])
MachineLoader.save(machines.number_recognizer, machine)
else:
result = "feedback format is wrong."
resp = {"result": result}
self.write(resp)
def post(self):
data = self.get_arguments("data[]")
result = ""
feedback = Validator.validate_feedback(data)
if len(feedback) > 0:
# save feedback to file
MachineLoader.feedback(machines.number_recognizer, feedback)
# online training
machine = MachineLoader.load(machines.number_recognizer)
machine.partial_fit(feedback[1:], [feedback[0]])
MachineLoader.save(machines.number_recognizer, machine)
else:
result = "feedback format is wrong."
resp = {"result": result}
self.write(resp)
