Alexander Ulanov 26867ebc67 [SPARK-11262][ML] Unit test for gradient, loss layers, memory management for multilayer perceptron ... 1.Implement LossFunction trait and implement squared error and cross entropy loss with it 2.Implement unit test for gradient and loss 3.Implement InPlace trait and in-place layer evaluation 4.Refactor interface for ActivationFunction 5.Update of Layer and LayerModel interfaces 6.Fix random weights assignment 7.Implement memory allocation by MLP model instead of individual layers These features decreased the memory usage and increased flexibility of internal API. Author: Alexander Ulanov <nashb@yandex.ru> Author: avulanov <avulanov@gmail.com> Closes #9229 from avulanov/mlp-refactoring.		2016-03-31 23:48:36 -07:00
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src	[SPARK-11262][ML] Unit test for gradient, loss layers, memory management for multilayer perceptron	2016-03-31 23:48:36 -07:00
pom.xml	[SPARK-13715][MLLIB] Remove last usages of jblas in tests	2016-03-08 17:47:55 +00:00