Hi Hayri, The default MLP optimizer is LBFGS. SGD is available only thought the private interface and its use is discouraged due to multiple reasons. With regards to SGD in general, the paramters are very specific to the dataset and network configuration, one need to find them empirically. The good starting point would be to have a small learning rate, rather small batch and big number of iterations to make sure the number of processed instances is more than the training set.
Best regards, Alexander From: Hayri Volkan Agun [mailto:volkana...@gmail.com] Sent: Tuesday, February 09, 2016 2:26 PM To: user @spark Subject: Learning Fails with 4 Number of Layes at ANN Training with SGDOptimizer Hi Everyone, When MultilayerPerceptronClassifier set to three or four number of layers and the SGDOptimizer's selected parameters are as follows. tol : 1e-5 numIter=10000 layers : 82,100,30,29 stepSize=0.05 sigmoidFunction in all layers learning finishes but it doesn't converge. What may be the problem of this. What should be the parameters? -- Hayri Volkan Agun PhD. Student - Anadolu University
