The error status from the trainer.
Namespace:
Imsl.DataMining.NeuralAssembly: ImslCS (in ImslCS.dll) Version: 6.5.0.0
Syntax
| C# |
|---|
public virtual int ErrorStatus { get; } |
| Visual Basic (Declaration) |
|---|
Public Overridable ReadOnly Property ErrorStatus As Integer |
| Visual C++ |
|---|
public: virtual property int ErrorStatus { int get (); } |
Field Value
An int which contains the error status.Implements
ITrainer..::.ErrorStatusRemarks
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.
| Value | Meaning |
|---|---|
| 0 | All convergence tests were met. |
| 1 | Scaled step tolerance was 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 StepTolerance is too big. |
| 2 | Scaled actual and predicted reductions in the function are less than or equal to the relative function convergence tolerance RelativeTolerance. |
| 3 | Iterates appear to be converging to a noncritical point. Incorrect gradient information, a discontinuous function, or stopping tolerances being too tight may be the cause. |
| 4 | Five consecutive steps with the maximum stepsize have been taken. Either the function is unbounded below, or has a finite asymptote in some direction, or the maximum stepsize is too small. |
| 5 | Too many iterations required. |
