Merge branch 'main' into release/2.8.x

Author: jdesanto

README.md

@@ -23,95 +23,95 @@ You have various options when installing ADS.
 ### Installing the oracle-ads base package
 
 ```bash
-  $ python3 -m pip install oracle-ads
+  python3 -m pip install oracle-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]'
+  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
-  $ python3 -m pip install 'oracle-ads[boosted]'
+  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`.
 
 ```bash
-  $ python3 -m pip install 'oracle-ads[bds]'
+  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 `fastavro`, `openpyxl`, `pandavro`, `asteval`, `datefinder`, `htmllistparse`, and `sqlalchemy` libraries.
 
 ```bash
-  $ python3 -m pip install 'oracle-ads[data]'
+  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.
 
 ```bash
-  $ python3 -m pip install 'oracle-ads[geo]'
+  python3 -m pip install 'oracle-ads[geo]'
 ```
 
 Install the `notebook` module to use ADS within a OCI 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.
 
 ```bash
-  $ python3 -m pip install 'oracle-ads[notebook]'
+  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.
 
 ```bash
-  $ python3 -m pip install 'oracle-ads[onnx]'
+  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`.
 
 ```bash
-  $ python3 -m pip install 'oracle-ads[opctl]'
+  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.
 
 ```bash
-  $ python3 -m pip install 'oracle-ads[optuna]'
+  python3 -m pip install 'oracle-ads[optuna]'
 ```
 
 Install the `tensorflow` module to include `tensorflow` and libraries from the `viz` module.
 
 ```bash
-  $ python3 -m pip install 'oracle-ads[tensorflow]'
+  python3 -m pip install 'oracle-ads[tensorflow]'
 ```
 
 For text related tasks, install the `text` module. This will include the `wordcloud`, `spacy` libraries.
 
 ```bash
-  $ python3 -m pip install 'oracle-ads[text]'
+  python3 -m pip install 'oracle-ads[text]'
 ```
 
 Install the `torch` module to include `pytorch` and libraries from the `viz` module.
 
 ```bash
-  $ python3 -m pip install 'oracle-ads[torch]'
+  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.
 
 ```bash
-  $ python3 -m pip install 'oracle-ads[viz]'
+  python3 -m pip install 'oracle-ads[viz]'
 ```
 
 **Note**
 
 Multiple extra dependencies can be installed together. For example:
 
 ```bash
-  $ python3 -m pip install  'oracle-ads[notebook,viz,text]'
+  python3 -m pip install  'oracle-ads[notebook,viz,text]'
 ```
 
 ## Documentation

docs/source/index.rst

@@ -81,9 +81,7 @@ Oracle Accelerated Data Science SDK (ADS)
     - Launch distributed ETL, data processing, and model training jobs in Spark with OCI Data Flow.
     - Train machine learning models in OCI Data Science Jobs.
     - Manage the lifecycle of conda environments through the ads conda command line interface (CLI).
-    - Distributed Training with PyTorch, Horovod and Dask |beta|
-
-.. |beta| image:: _static/badge_beta.svg
+    - Distributed Training with PyTorch, Horovod and Dask
 
 
 .. admonition:: Installation
@@ -189,4 +187,4 @@ Consult the security guide `SECURITY.md <https://github.com/oracle/accelerated-d
 License
 +++++++
 
-Copyright (c) 2020, 2022 Oracle and/or its affiliates. Licensed under the `Universal Permissive License v1.0 <https://oss.oracle.com/licenses/upl/>`_
+Copyright (c) 2020, 2022 Oracle and/or its affiliates. Licensed under the `Universal Permissive License v1.0 <https://oss.oracle.com/licenses/upl/>`_

docs/source/user_guide/model_training/distributed_training/overview.rst

@@ -1,8 +1,6 @@
-===========================
-Distributed Training |beta|
-===========================
-
-.. |beta| image:: /_static/badge_beta.svg
+====================
+Distributed Training
+====================
 
 .. admonition:: Distributed Training with OCI Data Science
 

docs/source/user_guide/model_training/index.rst

@@ -18,7 +18,7 @@ TensorBoard provides the visualization and the tooling that is needed to watch a
   :maxdepth: 1
 
   ads_tuner
-  Distributed Training [beta] <distributed_training/overview>
+  distributed_training/overview
   tensorboard/tensorboard
   model_evaluation/index
   model_explainability/index