| LeastSquaresTrainerErrorStatus Property |
The error status from the trainer.
Namespace: Imsl.DataMining.Neural
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0
SyntaxRemarks
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. |
See Also