def __init__(self,
model,
weighted=True,
stdDevWeighted=True,
toPrune=True):
'''
SlopeOneRecommender Class Constructor
`model` is the data source model
`weighted` is a flag that if it is True, it act as a weighted slope one
recommender.
`stdDevWeighted` is a flag that if it is True, use standard deviation
weighting of diffs
`toPrune` is a flag that if it is True, it will prune the irrelevant
diffs, represented by one data point.
'''
Recommender.__init__(self, model)
self.weighted = weighted
self.stdDevWeighted = stdDevWeighted
self.storage = DiffStorage(self.model, self.stdDevWeighted, toPrune)
