John Snow Labs Spark-NLP 1.2.6: Improved Serialization Performance

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Enhancements

• #82
  Vivekn Sentiment Analysis improved memory consumption and training performance
  Parameter pruneCorpus is an adjustable value now, defaults to 1. Higher values lead to better performance
  but are meant on larger corpora. tokenPattern params are meant to allow different tokenization regex
  within the corpora provided on Vivekn and Norvig models.
• #81
  Serialization improvements. New default format (parquet lasted little) is RDD objects. Proved to be lighter on
  heap memory. Also added lazier default values for Feature containers. New application.conf performance tunning
  settings allow to customize whether we want to Feature broadcast or not, and use parquet or objects in serialization.