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rec.recommender.class=autorec
rec.iterator.learnrate=0.01
rec.iterator.learnrate.maximum=0.01
rec.iterator.maximum=200
rec.weight.regularization=0.001
rec.hidden.dimension=200
rec.hidden.activation=sigmoid
rec.output.activation=identity
rec.learnrate.bolddriver=false
rec.learnrate.decay=1.0