John Snow Labs 5.1.6 Library Release

• bump visual NLP to 5.0.2

John Snow Labs 5.1.5 Library Release

• bump NLU to 5.0.3

John Snow Labs 5.1.4 Library Release

• upgrade NLU to 5.0.2
• remove pandas >=2 downgrade for databricks clusters

John Snow Labs 5.1.3 Library Release

• Fix update Databricks cluster

• nlp.install(med_license=) should work without aws keys for floating licenses

• add nlp.install_to_databricks and add deprecation warning for nlp.install() when creating new databricks cluster. Will be dropped next release

• Fixed pandas to 1.5.3 for newly created Databricks clusters until NLU supports pandas>=2

• new parameters parameter in nlp.run_in_databricks for parameterizing submitted databricks jobs and new documentation

• new parameter extra_pip_installs which can be used to install additional pypi dependencies when creating a Databricks cluster or installing to an existing cluster.

example of extra_pip_installs

nlp.install_to_databricks(
    databricks_cluster_id=cluster_id,
    databricks_host=host,
    databricks_token=token,
    extra_pip_installs=["farm-haystack==1.21.2", "langchain"],
)

John Snow Labs 5.1.2 Library Release

• bump Healthcare NLP to 5.1.1

John Snow Labs 5.1.1 Library Release

• bump Enterprise NLP to 5.1.1

• support for submitting jupyter notebooks in nlp.run_in_databricks and new docs for notebook submission

John Snow Labs 5.1.0 Library Release

• bump Enterprise NLP to 5.1.0
• bump Healthcare NLP to 5.1.0
• bump Visual NLP to 5.0.1
• AWS EMR auto install & utilities see EMR cluster creation notebook and EMR Workshop and John Snow Labs EMR Docs
• AWS GLUE auto install & utilities see GLUE custer creation notebook and GLUE Workshop and John Snow Labs GLUE Docs

John Snow Labs 5.0.8 Library Release

nlp.query_and_deploy_if_missing() has been upgraded with new powerful features!

• support for gpu jar injection into endpoint containers

• support for all parameters of model.predict()

  • Updated Endpoints Documentation
  • Updated Endpoints Tutorial Notebook
  • Updated Datarbicks Cluster Creation Notebook

Parameter	Description
output_level	One of token, chunk, sentence, relation, document to shape outputs
positions	Set True/False to include or exclude character index position of predictions
metadata	Set True/False to include additional metadata
drop_irrelevant_cols	Set True/False to drop irrelevant columns
get_embeddings	Set True/False to include embedding or not
keep_stranger_features	Set True/False to return columns not named "text", 'image" or "file_type" from your input data
multithread	Set True/False to use multi-Threading for inference. Auto-inferred if not set

John Snow Labs 5.0.7 Library Release

Hotfix for bad package

John Snow Labs 5.0.6 Library Release

• clean_cluster in nlp.install() to clean databricks cluster before installing johnsnowlabs software. Default True
• write_db_credentials in nlp.install() to write databricks host and access token into env variables which will be used for endpoint creation. Default True
• fixed bug which caused visual library to be installed to databricks cl usters, even if visual=False
• updated documentation
• New powerful 1-liner nlp.query_and_deploy_if_missing() which deploys a john snow labs model as databricks serve endpoint and queries it. If model is already deployed, it will not be deployed again. For more details see
  • New Endpoints Documentation
  • New Endpoints Tutorial Notebook
  • New Datarbicks Cluster Creation Notebook