John Snow Labs Spark-NLP 2.2.1: Python PipelineModel bugfixes
This short release is to address a few uncovered issues in the previous 2.2.0 release. Thank you all for quick feedback.
Enhancements
- NerDLApproach new param includeValidationProp allows partitioning the training set and exclude a fraction
- NerDLApproach trainValidationProp now randomly samples the data as opposed to head first
Bugfixes
- Fixed a bug in ResourceHelper causing folder resources to fail when a folder is empty (affects various annotators)
- Fixed a bug in python embeddings format not parsed to upper case
- Fixed a bug in python causing an incapability to load PipelineModels after loading embeddings