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Is your feature request related to a problem? Please describe.
Sometimes only one datset ist required. The implementation in the dev branch however requires a separate definition of a train and validation dataset.
Describe the solution you'd like
Maybe if only one dataset is given, if edflow is started with -t, this should be taken as train dataset else the validation dataset. Then only this split should be evelauated. In case of a Training, the Evaluation after the epochs should also not be done.
Describe alternatives you've considered
For now I specify the same dataset for both splits in such a case.
The text was updated successfully, but these errors were encountered:
hperrot
changed the title
Make validation dataset optional
Make specifying dataset splits optional
Jan 31, 2020
Is your feature request related to a problem? Please describe.
Sometimes only one datset ist required. The implementation in the dev branch however requires a separate definition of a train and validation dataset.
Describe the solution you'd like
Maybe if only one dataset is given, if edflow is started with -t, this should be taken as train dataset else the validation dataset. Then only this split should be evelauated. In case of a Training, the Evaluation after the epochs should also not be done.
Describe alternatives you've considered
For now I specify the same dataset for both splits in such a case.
The text was updated successfully, but these errors were encountered: