Method post

supervised_class/app.py:28–38

(self)

class PredictionHandler(tornado.web.RequestHandler):
    # predict one sample at a time
    def post(self):
        # print "body:", self.request.body
        # print "arguments:", self.request.arguments
        # will look like this:
        # body: three=four&one=two
        # arguments: {'three': ['four'], 'one': ['two']}
        params = self.request.arguments
        x = np.array(list(map(float, params['input'])))
        y = model.predict([x])[0]
        self.write(json.dumps({'prediction': y.item()}))
        self.finish()

if __name__ == "__main__":
    application = tornado.web.Application([