John Snow Labs Spark-NLP 2.0.7: Cluster compatibility improvements
This release addresses bugs related to cluster support, improving error messages and fixing various potential bugs depending
on the cluster configuration, such as Kryo Serialization or non default FS systems
Bugfixes
- Fixed a bug introduced in 2.0.5 that caused NerDL not to work in clusters with Kryo serialization enabled
- NerDLModel was not properly reading user provided config proto bytes during prediction
- Improved cluster embeddings message to hit user of cluster mode without shared filesystems
- Removed lazy model downloading on PretrainedPipeline to download the model at instantiation
- Fixed URI construction for cluster embeddings on non defaultFS configurations, improves cluster compatibility