[GitHub] spark pull request #17373: [SPARK-12664] Expose probability in mlp model

[WeichenXu123 <gi...@git.apache.org>]

Github user WeichenXu123 commented on a diff in the pull request:

    https://github.com/apache/spark/pull/17373#discussion_r129698281
  
    --- Diff: mllib/src/main/scala/org/apache/spark/ml/ann/Layer.scala ---
    @@ -527,9 +544,21 @@ private[ml] class FeedForwardModel private(
     
       override def predict(data: Vector): Vector = {
         val size = data.size
    -    val result = forward(new BDM[Double](size, 1, data.toArray))
    +    val result = forward(new BDM[Double](size, 1, data.toArray), true)
         Vectors.dense(result.last.toArray)
       }
    +
    +  override def predictRaw(data: Vector): Vector = {
    +    val size = data.size
    +    val result = forward(new BDM[Double](size, 1, data.toArray), false)
    +    Vectors.dense(result(result.length - 2).toArray)
    +  }
    +
    +  override def raw2ProbabilityInPlace(data: Vector): Vector = {
    +    val dataMatrix = new BDM[Double](data.size, 1, data.toArray)
    --- End diff --
    
    add `raw2ProbabilityInPlace`, what it compute is:
    ```
    softmax(rawPredictionsVector) ==> predictionsVector
    ```
    directly call the last layer function to compute it.


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