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* optimized EMR imports for less chance of import errors

* bump versions

* update release notes

* drop deprecated setup.py

* Endpoint tests (#637)

* example databricks serve notebooks and cluster creation

* updated healthcecks

* databricks serve + john snow labs endpoints module

* `clean_cluster` and `write_db_credentials` parameters for db cluster creation

* databricks serve + john snow labs endpoints docs + typo fixes

* databricks serve + john snow labs endpoints docs + typo fixes

* updated tests

* updated tests

* fix block_until_deployed bug

* fix block_until_deployed bug

* support for GPU and nlu.predict params in endpoints

* bump versions

* Docs update

* update notebooks

* endpoint test job generator

* improved list_db_runtime_versions

* multi cluster testing endpoints

* Support for submitting notebook to databricks and various utils & refactor to databricks utils

* db test refactor into  db_info/endpoint/hdfs/submit tests

* get_or_create_test_cluster() and varous more db testing utils, pytest.ini and non-verbose parameterization of tests

* add docs for notebook execution

* bump enterprise nlp version

* Update EMR initialization script (#661)

* update release notes

* update version

* Feature/513/parameterized db submit (#684)

* support for parameterization of NB sumit runs in run_in_databricks()

* tests for parameterization of NB sumit runs in run_in_databricks()

* tests for parameterization of NB sumit runs in run_in_databricks()

* Docs & example notebook for parameterized run_in_databricks

* Feature/513/list of additional db installs (#689)

* support for parameterization of NB sumit runs in run_in_databricks()

* tests for parameterization of NB sumit runs in run_in_databricks()

* tests for parameterization of NB sumit runs in run_in_databricks()

* Docs & example notebook for parameterized run_in_databricks

* Docs & example notebook for parameterized run_in_databricks

* updated noteoboks

* support for extra_pip_installs and pandas==1.5.3 fix on new clusters

* refactor db cluster creation to install_to_databricks and add deprecation warning to nlp.install() for db clusters

* db install  tests with custom libs

* Fix update existing databricks cluster (#680)

* update release notes

* bump versions

* removed pandas >= 2 htofix

* remove debug print

* bump version

---------

Co-authored-by: Kshitiz <[email protected]>
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C-K-Loan and KshitizGIT authored Oct 11, 2023
1 parent e586b9d commit 7f15fa0
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18 changes: 18 additions & 0 deletions docs/en/jsl/jsl_release_notes.md
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See [Github Releases](https://github.com/JohnSnowLabs/johnsnowlabs/releases) for detailed information on Release History and Featuresasdas


## 5.1.5
Release date: 9-10-2023

The John Snow Labs 5.1.5 Library released with the following pre-installed and recommended dependencies


| Library | Version |
|---------------------------------------------------------------------------------|---------|
| [Visual NLP](https://nlp.johnsnowlabs.com/docs/en/spark_ocr_versions/ocr_release_notes) | `5.0.1` |
| [Enterprise NLP](https://nlp.johnsnowlabs.com/docs/en/licensed_annotators) | `5.1.1` |
| [Finance NLP](https://nlp.johnsnowlabs.com/docs/en/financial_release_notes) | `1.X.X` |
| [Legal NLP](https://nlp.johnsnowlabs.com/docs/en/legal_release_notes) | `1.X.X` |
| [NLU](https://github.com/JohnSnowLabs/nlu/releases) | `5.0.3` |
| [Spark-NLP-Display](https://sparknlp.org/docs/en/display) | `4.4` |
| [Spark-NLP](https://github.com/JohnSnowLabs/spark-nlp/releases/) | `5.1.1` |
| [Pyspark](https://spark.apache.org/docs/latest/api/python/) | `3.1.2` |




## 5.1.4
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1 change: 0 additions & 1 deletion johnsnowlabs/auto_install/databricks/install_utils.py
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Expand Up @@ -311,7 +311,6 @@ def uninstall_old_libraries(
if fil in path.replace("-", "_"):
uninstalls.append({typ: path})
if uninstalls:
print("UNINSTALL ULD STUFF?", uninstalls)
db.managed_library.uninstall_libraries(
cluster_id=cluster_id, libraries=uninstalls
)
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8 changes: 6 additions & 2 deletions johnsnowlabs/settings.py
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Expand Up @@ -12,12 +12,16 @@



raw_version_jsl_lib = "5.1.4"
raw_version_jsl_lib = "5.1.5"




raw_version_nlp = "5.1.1"

raw_version_nlu = "5.0.2"

raw_version_nlu = "5.0.3"



raw_version_pyspark = "3.1.2"
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