Exemplo n.º 1
0
    def run_bellkor(self, rs: RowSettings,
                    average_times: dict) -> Tuple[float, RowSettings]:
        """ Bellkor Algorithm

            :param rs:              Row and Parameters
            :param average_times:   Dictionary of User -> Avg Time
            :return:                Prediction

        """
        logger = logging.getLogger("BellKor.BellkorAlgorithm.run_bellkor")

        # Find the difference from the Average Review data
        delta = (rs.Time - average_times[rs.User])

        # Find the Sign
        sign = -1 if delta < 0 else 1

        # Rescale
        delta = abs(delta) / self.TIME_DIFF

        # Find the 'deviation'
        dev = sign * math.pow(delta, 0.4)
        rs.set_dev(dev=dev)

        # Find P
        P = rs.p + rs.alpha_p * dev

        # Calculate the Model Prediction
        output = self.GLOBAL_MEAN + rs.b_u + (rs.alpha_u * dev) + rs.b_ut + \
                 (rs.b_i + rs.b_ibin) * (rs.c_u + rs.c_ut) + np.dot(rs.q.T, P)

        logger.debug("Model Prediction: {}".format(output))
        return output, rs
Exemplo n.º 2
0
    def test_row_settings(self):
        # Setup
        rs = RowSettings(user=1,
                         movie=100,
                         binval=20,
                         time=123123123123,
                         rating=4.5,
                         time_index=1,
                         **self.TEST_INPUTS)

        # Assertions
        self.assertEqual(rs.User, 1)

        rs.set_dev(4.123123)

        # Further Assetions
        self.assertEqual(rs.Dev, 4.123123)
Exemplo n.º 3
0
    def get_row_settings(self, inputs):
        """ Get the Row Settings

                [Index, TimePeriod, User, Item, BaseRating]

            :param inputs:          Array Row
            :return:                RowSettings

        """
        logger = logging.getLogger("BellKor.BellkorAlgorithm.get_row_settings")

        # Row Values
        user = int(inputs[2])
        movie = int(inputs[3])
        time_val = inputs[1]
        binval = int((time_val - self.START_TIME) / (self.TIME_DIFF / 30))

        # Get datetime Index
        time_index = int(
            time.mktime(
                datetime.datetime.fromtimestamp(time_val).date().timetuple()))
        time_index = int(self.TIME_MAP[time_index])

        # Collate the Row Settings
        rs = RowSettings(
            user=user,
            movie=movie,
            rating=inputs[4],
            binval=binval,
            time=time_val,
            time_index=time_index,
            b_u=self.PARAMS.b_u[user],
            alpha_u=self.PARAMS.alpha_u[user],
            b_i=self.PARAMS.b_i[movie],
            c_u=self.PARAMS.c_u[user],
            b_ut=self.PARAMS.b_ut[user, time_index],
            c_ut=self.PARAMS.c_ut[user, time_index],
            b_ibin=self.PARAMS.b_ibin[movie - 1, binval],
            p=self.PARAMS.p[user],
            q=self.PARAMS.q[movie],
            alpha_p=self.PARAMS.alpha_p[user],
        )

        logger.debug(f"Row Setting: {rs}")
        return rs