2.8.2 (#97)

Author: Ziqun Ye

docs/source/ads.automl.rst

@@ -1,29 +0,0 @@
-ads.automl package
-==================
-
-Submodules
-----------
-
-ads.automl.driver module
-------------------------
-
-.. automodule:: ads.automl.driver
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-ads.automl.provider module
---------------------------
-
-.. automodule:: ads.automl.provider
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-Module contents
----------------
-
-.. automodule:: ads.automl
-   :members:
-   :undoc-members:
-   :show-inheritance:

docs/source/ads.explanations.rst

@@ -1,61 +0,0 @@
-ads.explanations package
-========================
-
-Submodules
-----------
-
-ads.explanations.base\_explainer module
----------------------------------------
-
-.. automodule:: ads.explanations.base_explainer
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-ads.explanations.explainer module
----------------------------------
-
-.. automodule:: ads.explanations.explainer
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-ads.explanations.mlx\_global\_explainer module
-----------------------------------------------
-
-.. automodule:: ads.explanations.mlx_global_explainer
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-ads.explanations.mlx\_interface module
---------------------------------------
-
-.. automodule:: ads.explanations.mlx_interface
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-ads.explanations.mlx\_local\_explainer module
----------------------------------------------
-
-.. automodule:: ads.explanations.mlx_local_explainer
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-ads.explanations.mlx\_whatif\_explainer module
-----------------------------------------------
-
-.. automodule:: ads.explanations.mlx_whatif_explainer
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-Module contents
----------------
-
-.. automodule:: ads.explanations
-   :members:
-   :undoc-members:
-   :show-inheritance:

docs/source/ads.model.extractor.rst

@@ -4,14 +4,6 @@ ads.model.extractor package
 Submodules
 ----------
 
-ads.model.extractor.automl\_extractor module
---------------------------------------------
-
-.. automodule:: ads.model.extractor.automl_extractor
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
 ads.model.extractor.keras\_extractor module
 -------------------------------------------
 

docs/source/ads.model.framework.rst

@@ -4,14 +4,6 @@ ads.model.framework package
 Submodules
 ----------
 
-ads.model.framework.automl\_model module
-----------------------------------------
-
-.. automodule:: ads.model.framework.automl_model
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
 ads.model.framework.lightgbm\_model module
 ------------------------------------------
 
@@ -60,6 +52,14 @@ ads.model.framework.xgboost\_model module
    :undoc-members:
    :show-inheritance:
 
+ads.model.framework.huggingface\_model module
+-----------------------------------------
+
+.. automodule:: ads.model.framework.huggingface_model
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
 Module contents
 ---------------
 

docs/source/ads.model.rst

@@ -51,17 +51,6 @@ ads.model.base\_properties module
    :undoc-members:
    :show-inheritance:
 
-ads.model.datascience\_model module
------------------------------------
-
-.. automodule:: ads.model.datascience_model
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-ads.model.generic\_model module
--------------------------------
-
 .. automodule:: ads.model.generic_model
    :members:
    :undoc-members:

docs/source/ads.rst

@@ -7,7 +7,6 @@ Subpackages
 .. toctree::
    :maxdepth: 4
 
-   ads.automl
    ads.bds
    ads.catalog
    ads.common

docs/source/release_notes.rst

@@ -2,6 +2,24 @@
 Release Notes
 =============
 
+2.8.2
+-----
+Release date: March 2, 2023
+
+* Remove support for Python 3.7.
+* Improved the DataScienceMode.create() to support timeout argument and auto extract region from the signer and signer config.
+* Support Jupyter Notebook as ``entrypoint`` when defining Data Science jobs with ``PythonRuntime`` and ``GitPythonRuntime``.
+* Support environment variable substitution in Data Science job names and output URI.
+* Support JSON serialization of list/dictionary when assigning them as Data Science jobs environment variables.
+* Support saving the notebook to output URI even if the job run failed when running a Data Science job using ``NotebookRuntime``.
+* Added ``job.build()`` method to Data Science job to load default values from environment.
+* Added ``DataScienceJob.fast_launch_shapes()`` method to list fast launch shapes available for Data Science job.
+* Added :doc:`HuggingFacePipelineModel <./user_guide/model_registration/frameworks/huggingfacemodel>` class to support prepare, save, deploy and predict for HuggingFace pipelines.
+* Updated Data Science job run YAML representation to include configurations inherited from the job.
+* Fixed custom conda environment not showing in Data Science Job YAML specification.
+* Fixed an issue where model saving was failing in notebook session without ipywidgets installed.
+* Fixed "Unknown archive format" error in ads.jobs.PythonRuntime, when the source code folder name ends with "zip". List of supported archive files are: "zip", "tar.gz", "tar" and "tgz".
+
 2.8.1
 -----
 Release date: February 16, 2023

docs/source/user_guide/loading_data/connect_legacy.rst

@@ -221,20 +221,6 @@ Close the cursor and connection using the ``.close()`` method:
      connection.close()
 
 
-Train a Models with ADB
-========================
-
-After you load your data from ADB, the ``ADSDataset`` object is created, which allows you to build models using AutoML.
-
-.. code-block:: python3
-
-    from ads.automl.driver import AutoML
-    from ads.automl.provider import OracleAutoMLProvider
-
-    train, test = ds.train_test_split()
-    model, baseline = AutoML(train, provider= OracleAutoMLProvider()).train(model_list=["LGBMClassifier"])
-
-
 Update ADB Tables
 =================
 

docs/source/user_guide/model_catalog/model_catalog.rst

@@ -58,7 +58,6 @@ The ADS SDK automatically captures some of the metadata for you.  It captures pr
 A model can be saved to the model catalog using the generic approach or the ``ADSModel`` approach:
 
 *  The generic approach creates a generic model artifact using ``.prepare_generic_model()``, and saves it to the model catalog.
-*  The ``ADSModel`` approach prepares an artifact from the ``ADSModel`` object, and saves it to the model catalog using the ``.prepare()`` method.  ``ADSModel`` objects are typically created from the AutoML engine.  Data scientists can also convert models trained with other machine learning libraries into an ``ADSModel`` object (using the ``.from_estimator()`` method).
 
 **Notes:**
 

docs/source/user_guide/model_deployment/predict.rst

@@ -93,7 +93,7 @@ Model framework serialization
    pytorch_model.predict(byte_im)['prediction'][0][:10]
 
    pytorch_model.delete_deployment(wait_for_completion=True)
-   ModelCatalog(compartment_id=os.environ['NB_SESSION_COMPARTMENT_OCID']).delete_model(model_id)
+   pytorch_model.delete()
 
 
 The change needed in `score.py`: