SPARKNLP-746: Handle empty validation sets #13615
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- handle and print warning when insufficient training data with low validation split produces empty validation set - resolved some warnings
maziyarpanahi
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Mar 14, 2023
maziyarpanahi
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May 10, 2023
- handle and print warning when insufficient training data with low validation split produces empty validation set - resolved some warnings
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Description
Users can set a validation split when training a
ClassifierDLApproachorMultiClassifierDLApproach. However, if this fraction and training data count is low, it can result in empty validation. Currently, this will cause an uncaught error. This PR fixes this and prints a warning.Changes:
How Has This Been Tested?
Added new tests to reflect the behavior. Tests are passing.
Screenshots (if appropriate):
Types of changes