Github user 08s011003 commented on the pull request:
https://github.com/apache/spark/pull/1290#issuecomment-129662515
Hi, I try to train the model using this implementation and found weird
outcome from the output from LBFGS as following:
15/08/11 08:52:24 INFO optimize.LBFGS: Step Size: 1.000
15/08/11 08:52:24 INFO optimize.LBFGS: Val and Grad Norm: 5.77126e+07 (rel:
6.22e-08) 3.59731
15/08/11 08:52:24 INFO optimize.LBFGS: Step Size: 1.000
15/08/11 08:52:24 INFO optimize.LBFGS: Val and Grad Norm: 5.77126e+07 (rel:
3.17e-08) 1.77486
15/08/11 08:52:24 INFO optimize.LBFGS: Step Size: 1.000
15/08/11 08:52:24 INFO optimize.LBFGS: Val and Grad Norm: 5.77126e+07 (rel:
1.56e-08) 0.885332
15/08/11 08:52:24 INFO optimize.LBFGS: Step Size: 1.000
15/08/11 08:52:24 INFO optimize.LBFGS: Val and Grad Norm: 5.77126e+07 (rel:
7.91e-09)
0.442205
I launch model training by : var model =
ArtificialNeuralNetwork.train(trainData, Array[Int](2, 3), 5000, 1e-8)
The problem is training process just iterate a few step before return.
Obviously the error of the validation test is too large to satisfy
expectation.What is the problem?
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
