public virtual int Train(
	Mat inputs,
	Mat outputs,
	Mat sampleWeights,
	Mat sampleIdx = null,
	CvANN_MLP_TrainParams param = null,
	MLPTrainingFlag flags = MLPTrainingFlag.Zero
)

Public Overridable Function Train ( 
	inputs As Mat,
	outputs As Mat,
	sampleWeights As Mat,
	Optional sampleIdx As Mat = Nothing,
	Optional param As CvANN_MLP_TrainParams = Nothing,
	Optional flags As MLPTrainingFlag = MLPTrainingFlag.Zero
) As Integer

public:
virtual int Train(
	Mat^ inputs, 
	Mat^ outputs, 
	Mat^ sampleWeights, 
	Mat^ sampleIdx = nullptr, 
	CvANN_MLP_TrainParams^ param = nullptr, 
	MLPTrainingFlag flags = MLPTrainingFlag::Zero
)

abstract Train : 
        inputs : Mat * 
        outputs : Mat * 
        sampleWeights : Mat * 
        ?sampleIdx : Mat * 
        ?param : CvANN_MLP_TrainParams * 
        ?flags : MLPTrainingFlag 
(* Defaults:
        let _sampleIdx = defaultArg sampleIdx null
        let _param = defaultArg param null
        let _flags = defaultArg flags MLPTrainingFlag.Zero
*)
-> int 
override Train : 
        inputs : Mat * 
        outputs : Mat * 
        sampleWeights : Mat * 
        ?sampleIdx : Mat * 
        ?param : CvANN_MLP_TrainParams * 
        ?flags : MLPTrainingFlag 
(* Defaults:
        let _sampleIdx = defaultArg sampleIdx null
        let _param = defaultArg param null
        let _flags = defaultArg flags MLPTrainingFlag.Zero
*)
-> int