Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17373#discussion_r131790673
--- Diff: mllib/src/main/scala/org/apache/spark/ml/ann/Layer.scala ---
@@ -463,7 +479,7 @@ private[ml] class FeedForwardModel private(
private var outputs: Array[BDM[Double]] = null
private var deltas: Array[BDM[Double]] = null
- override def forward(data: BDM[Double]): Array[BDM[Double]] = {
+ override def forward(data: BDM[Double], containsLastLayer: Boolean):
Array[BDM[Double]] = {
// Initialize output arrays for all layers. Special treatment for
InPlace
--- End diff --
@MrBago In `MultiLayerPerceptronClassifier.train` there is a line:
```
val topology = FeedForwardTopology.multiLayerPerceptron(myLayers,
softmaxOnTop = true)
```
So MultiLayerPerceptronClassifier always use softmax as the last layer.
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