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object --+ | MatrixFactorizationModel
A matrix factorisation model trained by regularized alternating least-squares.
>>> r1 = (1, 1, 1.0) >>> r2 = (1, 2, 2.0) >>> r3 = (2, 1, 2.0) >>> ratings = sc.parallelize([r1, r2, r3]) >>> model = ALS.trainImplicit(ratings, 1) >>> model.predict(2,2) is not None True >>> testset = sc.parallelize([(1, 2), (1, 1)]) >>> model.predictAll(testset).count() == 2 True
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x.__init__(...) initializes x; see help(type(x)) for signature
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