How to use BigDL to achieve early stop function

[gdg1212]

val model = Sequential[Float]()
  .add(Dense(50, inputShape = Shape(inputSize)))
  .add(Activation("relu"))
  .add(Dense(25))
  .add(Activation("relu"))
  .add(Dense(1))
val optimizer = Optimizer(model = model,
  sampleRDD = trainingTensor.map(_._2),
  criterion = MSECriterion[Float](),
  batchSize = 150000)


 optimizer
   .setOptimMethod(new Adam(0.001))
   .setEndWhen(Trigger.maxEpoch(100))
    .optimize()

[qiuxin2012]

You can use something like .setEndWhen(Or(Trigger.maxEpoch(100), Trigger.MinLoss(0.0001))).
https://github.com/intel-analytics/BigDL-2.x/blob/b4cde76e58c3b97c69424f0c8bbc4c6d08879195/scala/dllib/src/main/scala/com/intel/analytics/bigdl/dllib/optim/ZooTrigger.scala