Model related docs refine (Azure#31552)

* model operation doc refine

* model entities doc refine

* resolve conflict

* fix review comments

* fix line length limit issue

* minor fix on _load_functions.py

* revert back change

sdk/ml/azure-ai-ml/azure/ai/ml/entities/_assets/_artifacts/_package/model_configuration.py

@@ -16,6 +16,15 @@ class ModelConfiguration:
     :type mode: str
     :param mount_path: The mount path of the model.
     :type mount_path: str
+
+    .. admonition:: Example:
+
+        .. literalinclude:: ../../../../../../../samples/ml_samples_misc.py
+            :start-after: [START model_configuration_entity_create]
+            :end-before: [END model_configuration_entity_create]
+            :language: python
+            :dedent: 8
+            :caption: Creating a Model Configuration object.
     """
 
     def __init__(self, *, mode: str = None, mount_path: str = None):

sdk/ml/azure-ai-ml/azure/ai/ml/entities/_assets/_artifacts/_package/model_package.py

@@ -138,6 +138,15 @@ class ModelPackageInput:
     :type mode: Optional[str]
     :param mount_path: The mount path for the input.
     :type mount_path: Optional[str]
+
+    .. admonition:: Example:
+
+        .. literalinclude:: ../../../../../../../samples/ml_samples_misc.py
+            :start-after: [START model_package_input_entity_create]
+            :end-before: [END model_package_input_entity_create]
+            :language: python
+            :dedent: 8
+            :caption: Create a Model Package Input object.
     """
 
     def __init__(
@@ -191,7 +200,16 @@ class ModelPackage(Resource, PackageRequest):
     :param model_configuration: The model configuration.
     :type model_configuration: Optional[~azure.ai.ml.entities.ModelConfiguration]
     :param tags: The tags of the model package.
-    :type tags: Optiona[dict[str, str]]
+    :type tags: Optional[dict[str, str]]
+
+    .. admonition:: Example:
+
+        .. literalinclude:: ../../../../../../../samples/ml_samples_misc.py
+            :start-after: [START model_package_entity_create]
+            :end-before: [END model_package_entity_create]
+            :language: python
+            :dedent: 8
+            :caption: Create a Model Package object.
     """
 
     def __init__(

sdk/ml/azure-ai-ml/azure/ai/ml/entities/_deployment/model_batch_deployment_settings.py

@@ -4,11 +4,11 @@
 
 from typing import Dict, Optional
 
+from azure.ai.ml._schema._deployment.batch.model_batch_deployment_settings import ModelBatchDeploymentSettingsSchema
+from azure.ai.ml._utils._experimental import experimental
 from azure.ai.ml.constants._common import BASE_PATH_CONTEXT_KEY
 from azure.ai.ml.constants._deployment import BatchDeploymentOutputAction
 from azure.ai.ml.entities._deployment.deployment_settings import BatchRetrySettings
-from azure.ai.ml._utils._experimental import experimental
-from azure.ai.ml._schema._deployment.batch.model_batch_deployment_settings import ModelBatchDeploymentSettingsSchema
 
 
 @experimental
@@ -39,6 +39,15 @@ class ModelBatchDeploymentSettings:
     :type error_threshold: int
     :param logging_level: Logging level for batch inference operation, defaults to "info"
     :type logging_level: str
+
+    .. admonition:: Example:
+
+        .. literalinclude:: ../../../../../samples/ml_samples_misc.py
+            :start-after: [START model_batch_deployment_settings_entity_create]
+            :end-before: [END model_batch_deployment_settings_entity_create]
+            :language: python
+            :dedent: 8
+            :caption: Creating a Model Batch Deployment Settings object.
     """
 
     def __init__(

sdk/ml/azure-ai-ml/azure/ai/ml/operations/_model_operations.py

@@ -4,13 +4,12 @@
 
 # pylint: disable=protected-access
 
+from contextlib import contextmanager
 from os import PathLike, path
 from typing import Dict, Iterable, Optional, Union
-from contextlib import contextmanager
 
 from marshmallow.exceptions import ValidationError as SchemaValidationError
 
-from azure.ai.ml._utils._experimental import experimental
 from azure.ai.ml._artifacts._artifact_utilities import (
     _check_and_upload_path,
     _get_default_datastore_info,
@@ -21,40 +20,39 @@
     CHANGED_ASSET_PATH_MSG,
     CHANGED_ASSET_PATH_MSG_NO_PERSONAL_DATA,
 )
-from azure.ai.ml._utils._arm_id_utils import is_ARM_id_for_resource
-from azure.ai.ml._utils._registry_utils import get_registry_client
 from azure.ai.ml._exception_helper import log_and_raise_error
 from azure.ai.ml._restclient.v2021_10_01_dataplanepreview import (
     AzureMachineLearningWorkspaces as ServiceClient102021Dataplane,
 )
-from azure.ai.ml._restclient.v2023_04_01_preview.models import ListViewType, ModelVersion
 from azure.ai.ml._restclient.v2023_04_01_preview import AzureMachineLearningWorkspaces as ServiceClient042023Preview
+from azure.ai.ml._restclient.v2023_04_01_preview.models import ListViewType, ModelVersion
 from azure.ai.ml._scope_dependent_operations import (
     OperationConfig,
+    OperationsContainer,
     OperationScope,
     _ScopeDependentOperations,
-    OperationsContainer,
 )
-from azure.ai.ml.entities._assets._artifacts.code import Code
-
-from azure.ai.ml.constants._common import ARM_ID_PREFIX
 from azure.ai.ml._telemetry import ActivityType, monitor_with_activity
+from azure.ai.ml._utils._arm_id_utils import is_ARM_id_for_resource
 from azure.ai.ml._utils._asset_utils import (
     _archive_or_restore,
     _get_latest,
-    _resolve_label_to_asset,
     _get_next_version_from_container,
+    _resolve_label_to_asset,
 )
+from azure.ai.ml._utils._experimental import experimental
 from azure.ai.ml._utils._logger_utils import OpsLogger
 from azure.ai.ml._utils._registry_utils import (
     get_asset_body_for_registry_storage,
+    get_registry_client,
     get_sas_uri_for_registry_asset,
     get_storage_details_for_registry_assets,
 )
 from azure.ai.ml._utils._storage_utils import get_ds_name_and_path_prefix, get_storage_client
 from azure.ai.ml._utils.utils import resolve_short_datastore_url, validate_ml_flow_folder
-from azure.ai.ml.constants._common import ASSET_ID_FORMAT, AzureMLResourceType
-from azure.ai.ml.entities._assets import Model, ModelPackage, Environment
+from azure.ai.ml.constants._common import ARM_ID_PREFIX, ASSET_ID_FORMAT, AzureMLResourceType
+from azure.ai.ml.entities._assets import Environment, Model, ModelPackage
+from azure.ai.ml.entities._assets._artifacts.code import Code
 from azure.ai.ml.entities._assets.workspace_asset_reference import WorkspaceAssetReference
 from azure.ai.ml.entities._credentials import AccountKeyConfiguration
 from azure.ai.ml.exceptions import (
@@ -64,8 +62,9 @@
     ValidationErrorType,
     ValidationException,
 )
-from azure.core.exceptions import ResourceNotFoundError
 from azure.ai.ml.operations._datastore_operations import DatastoreOperations
+from azure.core.exceptions import ResourceNotFoundError
+
 from ._operation_orchestrator import OperationOrchestrator
 
 ops_logger = OpsLogger(__name__)
@@ -77,6 +76,21 @@ class ModelOperations(_ScopeDependentOperations):
 
     You should not instantiate this class directly. Instead, you should create an MLClient instance that instantiates it
     for you and attaches it as an attribute.
+
+    :param operation_scope: Scope variables for the operations classes of an MLClient object.
+    :type operation_scope: ~azure.ai.ml._scope_dependent_operations.OperationScope
+    :param operation_config: Common configuration for operations classes of an MLClient object.
+    :type operation_config: ~azure.ai.ml._scope_dependent_operations.OperationConfig
+    :param service_client: Service client to allow end users to operate on Azure Machine Learning Workspace
+        resources (ServiceClient042023Preview or ServiceClient102021Dataplane).
+    :type service_client: typing.Union[
+        ~azure.ai.ml._restclient.v2023_04_01_preview._azure_machine_learning_workspaces.AzureMachineLearningWorkspaces,
+        ~azure.ai.ml._restclient.v2021_10_01_dataplanepreview._azure_machine_learning_workspaces.
+        AzureMachineLearningWorkspaces]
+    :param datastore_operations: Represents a client for performing operations on Datastores.
+    :type datastore_operations: ~azure.ai.ml.operations._datastore_operations.DatastoreOperations
+    :param all_operations: All operations classes of an MLClient object.
+    :type all_operations: ~azure.ai.ml._scope_dependent_operations.OperationsContainer
     """
 
     # pylint: disable=unused-argument
@@ -116,6 +130,15 @@ def create_or_update(
         :raises ~azure.ai.ml.exceptions.EmptyDirectoryError: Raised if local path provided points to an empty directory.
         :return: Model asset object.
         :rtype: ~azure.ai.ml.entities.Model
+
+        .. admonition:: Example:
+
+            .. literalinclude:: ../../../../samples/ml_samples_misc.py
+                :start-after: [START model_operations_create_or_update]
+                :end-before: [END model_operations_create_or_update]
+                :language: python
+                :dedent: 8
+                :caption: Create model example.
         """
         try:
             name = model.name
@@ -274,6 +297,15 @@ def get(self, name: str, version: Optional[str] = None, label: Optional[str] = N
             Details will be provided in the error message.
         :return: Model asset object.
         :rtype: ~azure.ai.ml.entities.Model
+
+        .. admonition:: Example:
+
+            .. literalinclude:: ../../../../samples/ml_samples_misc.py
+                :start-after: [START model_operations_get]
+                :end-before: [END model_operations_get]
+                :language: python
+                :dedent: 8
+                :caption: Get model example.
         """
         if version and label:
             msg = "Cannot specify both version and label."
@@ -306,11 +338,23 @@ def get(self, name: str, version: Optional[str] = None, label: Optional[str] = N
     def download(self, name: str, version: str, download_path: Union[PathLike, str] = ".") -> None:
         """Download files related to a model.
 
-        :param str name: Name of the model.
-        :param str version: Version of the model.
-        :param Union[PathLike, str] download_path: Local path as download destination,
-            defaults to current working directory of the current user. Contents will be overwritten.
-        :raise: ResourceNotFoundError if can't find a model matching provided name.
+        :param name: Name of the model.
+        :type name: str
+        :param version: Version of the model.
+        :type version: str
+        :param download_path: Local path as download destination, defaults to current working directory of the current
+            user. Contents will be overwritten.
+        :type download_path: Union[PathLike, str]
+        :raises ResourceNotFoundError: if can't find a model matching provided name.
+
+        .. admonition:: Example:
+
+            .. literalinclude:: ../../../../samples/ml_samples_misc.py
+                :start-after: [START model_operations_download]
+                :end-before: [END model_operations_download]
+                :language: python
+                :dedent: 8
+                :caption: Download files to model example.
         """
 
         model_uri = self.get(name=name, version=version).path
@@ -379,6 +423,15 @@ def archive(
         :type version: str
         :param label: Label of the model asset. (mutually exclusive with version)
         :type label: str
+
+        .. admonition:: Example:
+
+            .. literalinclude:: ../../../../samples/ml_samples_misc.py
+                :start-after: [START model_operations_archive]
+                :end-before: [END model_operations_archive]
+                :language: python
+                :dedent: 8
+                :caption: Archive a model example.
         """
         _archive_or_restore(
             asset_operations=self,
@@ -402,6 +455,15 @@ def restore(
         :type version: str
         :param label: Label of the model asset. (mutually exclusive with version)
         :type label: str
+
+        .. admonition:: Example:
+
+            .. literalinclude:: ../../../../samples/ml_samples_misc.py
+                :start-after: [START model_operations_restore]
+                :end-before: [END model_operations_restore]
+                :language: python
+                :dedent: 8
+                :caption: Restore a model example.
         """
         _archive_or_restore(
             asset_operations=self,
@@ -431,7 +493,16 @@ def list(
              :attr:`ListViewType.ACTIVE_ONLY`.
         :type list_view_type: ListViewType
         :return: An iterator like instance of Model objects
-        :rtype: ~azure.core.paging.ItemPaged[Model]
+        :rtype: ~azure.core.paging.ItemPaged[~azure.ai.ml.entities.Model]
+
+        .. admonition:: Example:
+
+            .. literalinclude:: ../../../../samples/ml_samples_misc.py
+                :start-after: [START model_operations_list]
+                :end-before: [END model_operations_list]
+                :language: python
+                :dedent: 8
+                :caption: List all models example.
         """
         if name:
             return (
@@ -485,6 +556,15 @@ def share(self, name, version, *, share_with_name, share_with_version, registry_
         :paramtype registry_name: str
         :return: Model asset object.
         :rtype: ~azure.ai.ml.entities.Model
+
+        .. admonition:: Example:
+
+            .. literalinclude:: ../../../../samples/ml_samples_misc.py
+                :start-after: [START model_operations_share]
+                :end-before: [END model_operations_share]
+                :language: python
+                :dedent: 8
+                :caption: Share a model example.
         """
 
         #  Get workspace info to get workspace GUID
@@ -574,6 +654,14 @@ def package(self, name: str, version: str, package_request: ModelPackage, **kwar
         :return: Environment object
         :rtype: ~azure.ai.ml.entities.Environment
 
+        .. admonition:: Example:
+
+            .. literalinclude:: ../../../../samples/ml_samples_misc.py
+                :start-after: [START model_operations_package]
+                :end-before: [END model_operations_package]
+                :language: python
+                :dedent: 8
+                :caption: Package a model example.
         """
 
         if not kwargs.get("skip_to_rest", False):

sdk/ml/azure-ai-ml/samples/ml_samples_misc.py

@@ -20,9 +20,8 @@
 
 class MiscConfigurationOptions(object):
     def ml_misc_config(self):
-        from azure.identity import DefaultAzureCredential
-
         from azure.ai.ml import MLClient
+        from azure.identity import DefaultAzureCredential
 
         subscription_id = os.environ["AZURE_SUBSCRIPTION_ID"]
         resource_group = os.environ["RESOURCE_GROUP_NAME"]
@@ -120,6 +119,43 @@ def ml_misc_config(self):
         )
         # [END model_entity_create]
 
+        # [START model_batch_deployment_settings_entity_create]
+        from azure.ai.ml.entities._deployment.model_batch_deployment_settings import ModelBatchDeploymentSettings
+
+        modelBatchDeploymentSetting = ModelBatchDeploymentSettings(
+            mini_batch_size=256,
+            instance_count=5,
+            max_concurrency_per_instance=2,
+            output_file_name="output-file-name",
+            environment_variables={"env1": "value1", "env2": "value2"},
+            error_threshold=2,
+            logging_level=1,
+        )
+        # [END model_batch_deployment_settings_entity_create]
+
+        # [START model_configuration_entity_create]
+        from azure.ai.ml.entities._assets._artifacts._package.model_configuration import ModelConfiguration
+
+        modelConfiguration = ModelConfiguration(mode="model-mode", mount_path="model-mount-path")
+        # [END model_configuration_entity_create]
+
+        # [START model_package_input_entity_create]
+        from azure.ai.ml.entities._assets._artifacts._package.model_package import ModelPackageInput
+
+        modelPackageInput = ModelPackageInput(type="input-type", mode="input-mode", mount_path="input-mount-path")
+        # [END model_package_input_entity_create]
+
+        # [START model_package_entity_create]
+        from azure.ai.ml.entities._assets._artifacts._package.model_package import ModelPackage
+
+        modelPackage = ModelPackage(
+            target_environment_name="env-name",
+            target_environment_version="1.0",
+            environment_variables={"env1": "value1", "env2": "value2"},
+            tags={"tag1": "value1", "tag2": "value2"},
+        )
+        # [END model_package_entity_create]
+
         # [START create_inputs_outputs]
         from azure.ai.ml import Input, Output
         from azure.ai.ml.entities import CommandJob, CommandJobLimits