John Snow Labs 5.0.5 Library Release

• new block_till_complete parameter in nlp.run_in_databricks and logging of Databricks Task URL for monitoring
• optimized Databricks configs for Visual NLP clusters

John Snow Labs 5.0.4 Library Release

• bump spark-nlp to 5.0.2
• bum healthcare to 5.0.2
• bump ocr to 5.0.0
• bump nlu to 5.0.0

John Snow Labs 5.0.1 Library Release

• bump spark-nlp to 5.0.1

• bum healthcare to 5.0.1

• bump ocr to 4.4.4

• nlp.install(hardware_target='m1') is now nlp.install(hardware_target='apple_silicon')

• nlp.start(hardware_target='m1') is now nlp.start(hardware_target='apple_silicon')

John Snow Labs 5.0.0 Library Release

We are very excited to announce John Snow Labs 5.0.0 has been released.

• bump spark-nlp to 5.0.0
• bump enterprise-nlp to 5.0.0

John Snow Labs 4.4.11 Library Release

hotfix pydantic version to 1.10.11 because of validation bug

John Snow Labs 4.4.10 Library Release

Add ChunkFiltererApproach to finance, legal and medical modules

John Snow Labs 4.4.9 Library Release

• bump Spark-NLP to 4.4.4
• bump Enterpprise-NLP to 4.4.4
• bump Visual-NLP to 4.4.3

Improved nlp.install() :
When providing credentials with outdated secrets for the library versions, they will automatically be upgraded to the latest recommended versions, as long as you have a valid license and settings.enforce_versions=True

John Snow Labs 4.4.8 Library Release

• upgrade NLU to 4.2.2
• support for JOHNSNOWLABS_LICENSE_JSON as single env variable to provide credentials. This is the raw json string of your license file.

John Snow Labs 4.4.7 Library Release

• bump visual NLP to 4.4.2
• bump enterprise NLP to 4.4.3
• bump NLU to 4.2.1

#333
and partially #348

John Snow Labs 4.4.6 Library Release

John Snow Labs 4.4.6 Library ReleaseWe are very excited to announce johnsnowlabs 4.4.6 has been released!

Features :

• create_jsl_home_if_missing parameter added to nlp.start() which can be set to False to disable the creation of the
  ~/.johnsnowlabs directory. This is useful when jars are provided directly via jar_paths parameter.

• Dynamic Wheel resolution for spark nlp, enabling you to set
  settings.nlp_version='4.4.2' and it will automatically use the appropriate jars and wheels when
  starting a session or building an envirornment.

• Fixed erronous handling of enterprise-secrets which have
  <VERSION>.<PR-NUM>.<COMMIT_HASH> pattern,

• Bump Enterprise NLP version to 4.4.2

• Bump OCR version to 4.4.1