Github user Lewuathe commented on the pull request:
https://github.com/apache/spark/pull/1290#issuecomment-67315423
@bgreeven I think @jkbradley means that it might be better to pass
`Optimizer` itself to train method or set method. For example.
```scala
def train(..., optimizer: Optimizer): ArtificalNeuralNetworkModel = {
optimizer match {
case GradientDescent(...) =>
// Perform SGD
case LBFGS(...) =>
// Perform LBFGS
}
}
```
Users can select any optimizers and configure appropriate parameters.
@jkbradley I'm sorry if it is not what you mean. But this is my proposal
anyway.
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