QuasiNewtonTrainer.ErrorStatus Property

QuasiNewtonTrainerErrorStatus Property

The error status from the trainer.

Namespace: Imsl.DataMining.Neural
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0

Syntax

public virtual int ErrorStatus { get; }

Public Overridable ReadOnly Property ErrorStatus As Integer
	Get

public:
virtual property int ErrorStatus {
	int get ();
}

abstract ErrorStatus : int with get
override ErrorStatus : int with get

Property Value

Type: Int32
An int representing the error status from the trainer.

Implements

ITrainerErrorStatus

Remarks

Zero indicates that no errors were encountered during training. Any non-zero value indicates that some error condition arose during training. In many cases the trainer is able to recover from these conditions and produce a well-trained network.

Error Status	Condition
0	No error occurred during training.
1	The last global step failed to locate a lower point than the current error value. The current solution may be an approximate solution and no more accuracy is possible, or the step tolerance may be too large.
2	Relative function convergence; both the actual and predicted relative reductions in the error function are less than or equal to the relative function convergence tolerance.
3	Scaled step tolerance satisfied; the current point may be an approximate local solution, or the algorithm is making very slow progress and is not near a solution, or the step tolerance is too big.
4	Optimizer threw a FalseConvergenceException.
5	Optimizer threw a MaxIterationsException.
6	Optimizer threw a UnboundedBelowException.

Reference

QuasiNewtonTrainer Class

Imsl.DataMining.Neural Namespace

Imsl.MathFalseConvergenceException

Imsl.MathMaxIterationsException

Imsl.MathUnboundedBelowException