ADS release 2.8.9 (#311)

Author: liudmylaru

.github/workflows/run-unittests.yml

@@ -38,9 +38,9 @@ jobs:
       fail-fast: false
       matrix:
         python-version: ["3.8", "3.9", "3.10"]
-        test-path: ["tests/unitary", "tests/unitary/with_extras/model"]
+        test-path: ["tests/unitary/with_extras tests/unitary/default_setup", "tests/unitary/with_extras/model"]
         include:
-          - test-path: "tests/unitary"
+          - test-path: "tests/unitary/with_extras tests/unitary/default_setup"
             ignore-path: "--ignore tests/unitary/with_extras/model --ignore tests/unitary/with_extras/feature_store"
             name: "unitary"
           - test-path: "tests/unitary/with_extras/model"

README.md

@@ -29,12 +29,6 @@ You have various options when installing ADS.
 
 ### Installing extras libraries
 
-The `all-optional` module will install all optional dependencies. Note the single quotes around installation of extra libraries.
-
-```bash
-  python3 -m pip install 'oracle-ads[all-optional]'
-```
-
 To work with gradient boosting models, install the `boosted` module. This module includes XGBoost and LightGBM model classes.
 
 ```bash
@@ -107,6 +101,8 @@ Install the `viz` module to include libraries for visualization tasks. Some of t
   python3 -m pip install 'oracle-ads[viz]'
 ```
 
+See `pyproject.toml` file `[project.optional-dependencies]` section for full list of modules and its list of extra libraries.
+
 **Note**
 
 Multiple extra dependencies can be installed together. For example:

docs/source/release_notes.rst

@@ -2,6 +2,15 @@
 Release Notes
 =============
 
+2.8.9
+-----
+Release date: September 5, 2023
+
+* Upgraded the ``scikit-learn`` dependency to ``>=1.0``.
+* Upgraded the ``pandas`` dependency to ``>1.2.1,<2.1`` to allow you to use ADS with pandas 2.0.
+* Fixed the "Attribute not found" error, when ``deploy()`` called twice in ``GenericModel``.
+* Fixed the fetch of the security token, when the relative path for the ``security_token_file`` is provided (used in session token-bases authentication).
+
 2.8.8
 -----
 Release date: July 27, 2023

docs/source/user_guide/cli/quickstart.rst

@@ -57,55 +57,49 @@ Installing the ``oracle-ads`` base package
 Installing extras libraries
 +++++++++++++++++++++++++++
 
-The ``all-optional`` module will install all optional dependencies.
-
-.. code-block:: bash
-
-    $ python3 -m pip install oracle-ads[all-optional]
-
 To work with gradient boosting models, install the ``boosted`` module. This module includes XGBoost and LightGBM model classes.
 
 .. code-block:: bash
 
     $ python3 -m pip install oracle-ads[boosted]
 
-For big data use cases using Oracle Big Data Service (BDS), install the ``bds`` module. It includes the following libraries: `ibis-framework[impala]`, `hdfs[kerberos]` and `sqlalchemy`.
+For big data use cases using Oracle Big Data Service (BDS), install the ``bds`` module. It includes the following libraries: ``ibis-framework[impala]``, ``hdfs[kerberos]`` and ``sqlalchemy``.
 
 .. code-block:: bash
 
     $ python3 -m pip install oracle-ads[bds]
 
-To work with a broad set of data formats (for example, Excel, Avro, etc.) install the ``data`` module. It includes the following libraries: `fastavro`, `openpyxl`, `pandavro`, `asteval`, `datefinder`, `htmllistparse`, and `sqlalchemy`.
+To work with a broad set of data formats (for example, Excel, Avro, etc.) install the ``data`` module. It includes the following libraries: ``fastavro``, ``openpyxl``, ``pandavro``, ``asteval``, ``datefinder``, ``htmllistparse``, and ``sqlalchemy``.
 
 .. code-block:: bash
 
     $ python3 -m pip install oracle-ads[data]
 
-To work with geospatial data install the ``geo`` module. It includes the `geopandas` and libraries from the `viz` module.
+To work with geospatial data install the ``geo`` module. It includes the ``geopandas`` and libraries from the ``viz`` module.
 
 .. code-block:: bash
 
     $ python3 -m pip install oracle-ads[geo]
 
-Install the ``notebook`` module to use ADS within the Oracle Cloud Infrastructure Data Science service `Notebook Session <https://docs.oracle.com/en-us/iaas/data-science/using/manage-notebook-sessions.htm>`_. This module installs `ipywidgets` and `ipython` libraries.
+Install the ``notebook`` module to use ADS within the Oracle Cloud Infrastructure Data Science service `Notebook Session <https://docs.oracle.com/en-us/iaas/data-science/using/manage-notebook-sessions.htm>`_. This module installs ``ipywidgets`` and ``ipython`` libraries.
 
 .. code-block:: bash
 
     $ python3 -m pip install oracle-ads[notebook]
 
-To work with ONNX-compatible run times and libraries designed to maximize performance and model portability, install the ``onnx`` module. It includes the following libraries, `onnx`, `onnxruntime`, `onnxmltools`, `skl2onnx`, `xgboost`, `lightgbm` and libraries from the `viz` module.
+To work with ONNX-compatible run times and libraries designed to maximize performance and model portability, install the ``onnx`` module. It includes the following libraries, ``onnx``, ``onnxruntime``, ``onnxmltools``, ``skl2onnx``, ``xgboost``, ``lightgbm`` and libraries from the ``viz`` module.
 
 .. code-block:: bash
 
     $ python3 -m pip install oracle-ads[onnx]
 
-For infrastructure tasks, install the ``opctl`` module. It includes the following libraries, `oci-cli`, `docker`, `conda-pack`, `nbconvert`, `nbformat`, and `inflection`.
+For infrastructure tasks, install the ``opctl`` module. It includes the following libraries, ``oci-cli``, ``docker``, ``conda-pack``, ``nbconvert``, ``nbformat``, and ``inflection``.
 
 .. code-block:: bash
 
     $ python3 -m pip install oracle-ads[opctl]
 
-For hyperparameter optimization tasks install the ``optuna`` module. It includes the `optuna` and libraries from the `viz` module.
+For hyperparameter optimization tasks install the ``optuna`` module. It includes the ``optuna`` and libraries from the ``viz`` module.
 
 .. code-block:: bash
 
@@ -117,36 +111,36 @@ For Spark tasks install the ``spark`` module.
 
     $ python3 -m pip install oracle-ads[spark]
 
-Install the ``tensorflow`` module to include `tensorflow` and libraries from the ``viz`` module.
+Install the ``tensorflow`` module to include ``tensorflow`` and libraries from the ``viz`` module.
 
 .. code-block:: bash
 
     $ python3 -m pip install oracle-ads[tensorflow]
 
-For text related tasks, install the ``text`` module. This will include the `wordcloud`, `spacy` libraries.
+For text related tasks, install the ``text`` module. This will include the ``wordcloud``, ``spacy`` libraries.
 
 .. code-block:: bash
 
     $ python3 -m pip install oracle-ads[text]
 
-Install the ``torch`` module to include `pytorch` and libraries from the ``viz`` module.
+Install the ``torch`` module to include ``pytorch`` and libraries from the ``viz`` module.
 
 .. code-block:: bash
 
     $ python3 -m pip install oracle-ads[torch]
 
-Install the ``viz`` module to include libraries for visualization tasks. Some of the key packages are `bokeh`, `folium`, `seaborn` and related packages.
+Install the ``viz`` module to include libraries for visualization tasks. Some of the key packages are ``bokeh``, ``folium``, ``seaborn`` and related packages.
 
 .. code-block:: bash
 
     $ python3 -m pip install oracle-ads[viz]
 
+See ``pyproject.toml`` file ``[project.optional-dependencies]`` section for full list of modules and its list of extra libraries.
+
 **Note**
 
 Multiple extra dependencies can be installed together. For example:
 
 .. code-block:: bash
 
     $ python3 -m pip install  oracle-ads[notebook,viz,text]
-
-

pyproject.toml

@@ -19,7 +19,7 @@ build-backend = "flit_core.buildapi"
 
 # Required
 name = "oracle_ads"  # the install (PyPI) name; name for local build in [tool.flit.module] section below
-version = "2.8.8"
+version = "2.8.9"
 
 # Optional
 description = "Oracle Accelerated Data Science SDK"
@@ -114,7 +114,7 @@ onnx = [
   "protobuf<=3.20",
   "skl2onnx>=1.10.4",
   "tf2onnx",
-  "xgboost==1.5.1",
+  "xgboost<=1.7",
 ]
 opctl = [
   "conda-pack",

tests/unitary/with_extras/model/test_model_info_extractor.py

@@ -164,7 +164,6 @@ def test_generic_lightgbm_model(self):
         reason="wait for proper testing pipeline for tensorflow related tests"
     )
     def test_generic_keras_model(self):
-
         import tensorflow
 
         mnist = tensorflow.keras.datasets.mnist
@@ -239,7 +238,6 @@ class any:
     def test_huggingface_extractors(
         self,
     ):
-
         fake_pipeline = FakePipeline("fake", Model())
         metadata_taxonomy = ModelInfoExtractorFactory.extract_info(fake_pipeline)
         assert isinstance(metadata_taxonomy, dict)