CollaborativeFilteringModel __init__

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__init__(self, name=None)

Create a new Collaborative Filtering (ALS) model.

Parameters:

name : unicode (default=None)

User supplied name.

Returns:

: Model

For details about Collaborative Filter (ALS) modelling, see Collaborative Filter.

Examples

>>> model = ta.CollaborativeFilteringModel()
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>>> model.train(edge_frame, 'source', 'dest', 'weight')
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>>> model.score(1,5)
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>>> recommendations = model.recommend(1, 3, True)
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>>> recommendations
[{u'rating': 0.04854799984010311, u'product': 4, u'user': 1}, {u'rating': 0.04045666535703035, u'product': 3, u'user': 1}, {u'rating': 0.030060528471388848, u'product': 5, u'user': 1}]
>>> recommendations = model.recommend(5, 2, False)
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