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Training process return codes.
| Name | ETrainingResult |
| Type | enum |
| Header File | /Engine/Plugins/Animation/MLDeformer/MLDeformerFramework/Source/MLDeformerFrameworkEditor/Public/MLDeformerEditorModel.h |
| Include Path | #include "MLDeformerEditorModel.h" |
Syntax
enum ETrainingResult
{
Success = 0,
Aborted,
AbortedCantUse,
FailOnData,
FailPythonError,
Other,
}
Values
| Name | Remarks |
|---|---|
| Success | The training successfully finished. |
| Aborted | The user has aborted the training process. |
| AbortedCantUse | The user has aborted the training process, and we can't use the resulting network. |
| FailOnData | The input or output data to the network has issues, which means we cannot train. |
| FailPythonError | The python script has some error (see output log). |
| Other | Any other error, for example when some exception got thrown during training. |