Anyone using Pyflix for the Netflix prize.
How can it call super to itself in its init-method?
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#!/usr/bin/env python
'''Sample baseline averaging algorithms.'''
import numpy as N
from pyflix.algorithms import Algorithm
class MovieAverage(Algorithm):
'''Baseline algorithm that computes the average of all the votes
for a movie
and predicts that for every user.
This algorithm returns an RMSE score of 1.0528 on the scrubbed
dataset.
'''
def __init__(self, training_set):
self._movie_averages = {}
super(MovieAverage,self).__init__(training_set)
def __call__(self, movie_id, user_id):
try: return self._movie_averages[movie_id]
except KeyError:
avg =
N.average(self._training_set.movie(movie_id).ratings())
self._movie_averages[movie_id] = avg
return avg
class UserAverage(Algorithm):
'''Baseline algorithm that computes the average of all the votes
for a user
and predicts that for every movie.
This algorithm returns an RMSE score of 1.0688 on the scrubbed
dataset.
'''
def __init__(self, training_set):
self._user_averages = {}
super(UserAverage,self).__init__(training_set)
def __call__(self, movie_id, user_id):
try: return self._user_averages[user_id]
except KeyError:
avg =
N.average(self._training_set.user(user_id).ratings())
self._user_averages[user_id] = avg
return avg
class DoubleAverage(MovieAverage,UserAverage):
'''Returns the average of L{MovieAverage} and L{UserAverage}.
This algorithm returns an RMSE score of 1.0158 on the scrubbed
dataset.
'''
def __call__(self, movie_id, user_id):
return (MovieAverage.__call__(self,movie_id,user_id) +
UserAverage.__call__(self,movie_id,user_id)) / 2
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