doc: JumpStart Utility Doc Update

doc/api/inference/deserializers.rst

@@ -5,3 +5,4 @@ Deserializers
     :members:
     :undoc-members:
     :show-inheritance:
+

doc/api/inference/model.rst

@@ -7,6 +7,12 @@ Model
     :show-inheritance:
     :inherited-members:
 
+.. autoclass:: sagemaker.jumpstart.model.JumpStartModel
+    :members:
+    :undoc-members:
+    :show-inheritance:
+    :inherited-members:
+
 .. autoclass:: sagemaker.model.FrameworkModel
     :members:
     :undoc-members:

doc/api/inference/serializers.rst

@@ -5,3 +5,4 @@ Serializers
     :members:
     :undoc-members:
     :show-inheritance:
+

doc/api/training/estimators.rst

@@ -17,6 +17,12 @@ A high level interface for SageMaker training
     :show-inheritance:
     :inherited-members:
 
+.. autoclass:: sagemaker.jumpstart.estimator.JumpStartEstimator
+    :members:
+    :undoc-members:
+    :show-inheritance:
+    :inherited-members:
+
 .. autoclass:: sagemaker.estimator.Framework
     :members:
     :undoc-members:

doc/api/utility/accept_types.rst

@@ -0,0 +1,8 @@
+Accept Types
+------------
+
+.. automodule:: sagemaker.accept_types
+    :members:
+    :undoc-members:
+    :show-inheritance:
+    :private-members:

doc/api/utility/content_types.rst

@@ -0,0 +1,8 @@
+Content Types
+-------------
+
+.. automodule:: sagemaker.content_types
+    :members:
+    :undoc-members:
+    :show-inheritance:
+    :private-members:

doc/api/utility/hyperparameters.rst

@@ -5,3 +5,4 @@ Hyperparameters
     :members:
     :undoc-members:
     :show-inheritance:
+

doc/api/utility/instance_types.rst

@@ -0,0 +1,8 @@
+Instance Types
+--------------
+
+.. automodule:: sagemaker.instance_types
+    :members:
+    :undoc-members:
+    :show-inheritance:
+    :private-members:

doc/api/utility/metric_definitions.rst

@@ -0,0 +1,8 @@
+Metric Definitions
+------------------
+
+.. automodule:: sagemaker.metric_definitions
+    :members:
+    :undoc-members:
+    :show-inheritance:
+    :private-members:

src/sagemaker/jumpstart/estimator.py

@@ -340,6 +340,7 @@ def __init__(
                 when training on Amazon SageMaker. If 'git_config' is provided,
                 'source_dir' should be a relative location to a directory in the Git
                 repo.
+                (Default: None).
 
                 .. admonition:: Example
 
@@ -353,7 +354,6 @@ def __init__(
                     if you need 'train.py'
                     as the entry point and 'test.py' as the training source code, you can assign
                     entry_point='train.py', source_dir='src'.
-                (Default: None).
             git_config (Optional[dict[str, str]]): Git configurations used for cloning
                 files, including ``repo``, ``branch``, ``commit``,
                 ``2FA_enabled``, ``username``, ``password`` and ``token``. The
@@ -363,18 +363,6 @@ def __init__(
                 'master' is used. If you don't provide ``commit``, the latest
                 commit in the specified branch is used.
 
-                .. admonition:: Example
-
-                    The following config:
-
-                    >>> git_config = {'repo': 'https://github.com/aws/sagemaker-python-sdk.git',
-                    >>>               'branch': 'test-branch-git-config',
-                    >>>               'commit': '329bfcf884482002c05ff7f44f62599ebc9f445a'}
-
-                    results in cloning the repo specified in 'repo', then
-                    checking out the 'master' branch, and checking out the specified
-                    commit.
-
                 ``2FA_enabled``, ``username``, ``password`` and ``token`` are
                 used for authentication. For GitHub (or other Git) accounts, set
                 ``2FA_enabled`` to 'True' if two-factor authentication is
@@ -405,6 +393,17 @@ def __init__(
                 the SageMaker Python SDK attempts to use either the CodeCommit
                 credential helper or local credential storage for authentication.
                 (Default: None).
+
+                .. admonition:: Example
+                    The following config:
+
+                    >>> git_config = {'repo': 'https://github.com/aws/sagemaker-python-sdk.git',
+                    >>>               'branch': 'test-branch-git-config',
+                    >>>               'commit': '329bfcf884482002c05ff7f44f62599ebc9f445a'}
+
+                    results in cloning the repo specified in 'repo', then
+                    checking out the 'master' branch, and checking out the specified
+                    commit.
             container_log_level (Optional[Union[int, PipelineVariable]]): The log level to use
                 within the container. Valid values are defined in the Python logging module.
                 (Default: None).
@@ -420,8 +419,9 @@ def __init__(
                 must point to a file located at the root of ``source_dir``.
                 If 'git_config' is provided, 'entry_point' should be
                 a relative location to the Python source file in the Git repo.
+                (Default: None).
 
-                Example:
+                .. admonition:: Example
                     With the following GitHub repo directory structure:
 
                     >>> |----- README.md
@@ -430,18 +430,16 @@ def __init__(
                     >>>         |----- test.py
 
                     You can assign entry_point='src/train.py'.
-
-                (Default: None).
             dependencies (Optional[list[str]]): A list of absolute or relative paths to directories
                 with any additional libraries that should be exported
                 to the container. The library folders are
                 copied to SageMaker in the same folder where the entrypoint is
                 copied. If 'git_config' is provided, 'dependencies' should be a
                 list of relative locations to directories with any additional
-                libraries needed in the Git repo.
+                libraries needed in the Git repo. This is not supported with "local code"
+                in Local Mode. (Default: None).
 
                 .. admonition:: Example
-
                     The following Estimator call:
 
                     >>> Estimator(entry_point='train.py',
@@ -455,9 +453,6 @@ def __init__(
                     >>>     |------ train.py
                     >>>     |------ common
                     >>>     |------ virtual-env
-
-                This is not supported with "local code" in Local Mode.
-                (Default: None).
             instance_groups (Optional[list[:class:`sagemaker.instance_group.InstanceGroup`]]):
                 A list of ``InstanceGroup`` objects for launching a training job with a
                 heterogeneous cluster. For example:
@@ -475,8 +470,7 @@ def __init__(
                 through the SageMaker generic and framework estimator classes, see
                 `Train Using a Heterogeneous Cluster
                 <https://docs.aws.amazon.com/sagemaker/latest/dg/train-heterogeneous-cluster.html>`_
-                in the *Amazon SageMaker developer guide*.
-                (Default: None).
+                in the *Amazon SageMaker developer guide*. (Default: None).
             training_repository_access_mode (Optional[str]): Specifies how SageMaker accesses the
                 Docker image that contains the training algorithm (Default: None).
                 Set this to one of the following values:
@@ -797,7 +791,7 @@ def deploy(
                 when training on Amazon SageMaker. If 'git_config' is provided,
                 'source_dir' should be a relative location to a directory in the Git repo.
                 If the directory points to S3, no code is uploaded and the S3 location
-                is used instead.
+                is used instead. (Default: None).
 
                 .. admonition:: Example
 
@@ -809,7 +803,6 @@ def deploy(
                     >>>         |----- test.py
 
                     You can assign entry_point='inference.py', source_dir='src'.
-                (Default: None).
             code_location (Optional[str]): Name of the S3 bucket where custom code is
                 uploaded (Default: None). If not specified, the default bucket
                 created by ``sagemaker.session.Session`` is used. (Default: None).

src/sagemaker/jumpstart/model.py

@@ -138,7 +138,7 @@ def __init__(
                 when training on Amazon SageMaker. If 'git_config' is provided,
                 'source_dir' should be a relative location to a directory in the Git repo.
                 If the directory points to S3, no code is uploaded and the S3 location
-                is used instead.
+                is used instead. (Default: None).
 
                 .. admonition:: Example
 
@@ -150,7 +150,6 @@ def __init__(
                     >>>         |----- test.py
 
                     You can assign entry_point='inference.py', source_dir='src'.
-                (Default: None).
             code_location (Optional[str]): Name of the S3 bucket where custom code is
                 uploaded (Default: None). If not specified, the default bucket
                 created by ``sagemaker.session.Session`` is used. (Default: None).
@@ -159,9 +158,9 @@ def __init__(
                 model hosting. (Default: None). If ``source_dir`` is specified, then ``entry_point``
                 must point to a file located at the root of ``source_dir``.
                 If 'git_config' is provided, 'entry_point' should be
-                a relative location to the Python source file in the Git repo.
+                a relative location to the Python source file in the Git repo. (Default: None).
 
-                Example:
+                .. admonition:: Example
                     With the following GitHub repo directory structure:
 
                     >>> |----- README.md
@@ -170,8 +169,6 @@ def __init__(
                     >>>         |----- test.py
 
                     You can assign entry_point='src/inference.py'.
-
-                (Default: None).
             container_log_level (Optional[Union[int, PipelineVariable]]): Log level to use
                 within the container. Valid values are defined in the Python
                 logging module. (Default: None).
@@ -183,7 +180,8 @@ def __init__(
                 list of relative locations to directories with any additional
                 libraries needed in the Git repo. If the ```source_dir``` points
                 to S3, code will be uploaded and the S3 location will be used
-                instead.
+                instead. This is not supported with "local code" in Local Mode.
+                (Default: None).
 
                 .. admonition:: Example
 
@@ -200,9 +198,6 @@ def __init__(
                     >>>     |------ inference.py
                     >>>     |------ common
                     >>>     |------ virtual-env
-
-                This is not supported with "local code" in Local Mode.
-                (Default: None).
             git_config (Optional[dict[str, str]]): Git configurations used for cloning
                 files, including ``repo``, ``branch``, ``commit``,
                 ``2FA_enabled``, ``username``, ``password`` and ``token``. The
@@ -212,18 +207,6 @@ def __init__(
                 'master' is used. If you don't provide ``commit``, the latest
                 commit in the specified branch is used.
 
-                .. admonition:: Example
-
-                    The following config:
-
-                    >>> git_config = {'repo': 'https://github.com/aws/sagemaker-python-sdk.git',
-                    >>>               'branch': 'test-branch-git-config',
-                    >>>               'commit': '329bfcf884482002c05ff7f44f62599ebc9f445a'}
-
-                    results in cloning the repo specified in 'repo', then
-                    checking out the 'master' branch, and checking out the specified
-                    commit.
-
                 ``2FA_enabled``, ``username``, ``password`` and ``token`` are
                 used for authentication. For GitHub (or other Git) accounts, set
                 ``2FA_enabled`` to 'True' if two-factor authentication is
@@ -255,6 +238,16 @@ def __init__(
                 credential helper or local credential storage for authentication.
                 (Default: None).
 
+                .. admonition:: Example
+
+                    The following config results in cloning the repo specified in 'repo', then
+                    checking out the 'master' branch, and checking out the specified
+                    commit.
+
+                    >>> git_config = {'repo': 'https://github.com/aws/sagemaker-python-sdk.git',
+                    >>>               'branch': 'test-branch-git-config',
+                    >>>               'commit': '329bfcf884482002c05ff7f44f62599ebc9f445a'}
+
         Raises:
             ValueError: If the model ID is not recognized by JumpStart.
         """