Update how-to-deploy-mlflow-models.md

Author: GitHubber17

articles/machine-learning/v1/how-to-deploy-mlflow-models.md

@@ -8,7 +8,7 @@ ms.author: mopeakande
 ms.reviewer: fasantia
 ms.service: machine-learning
 ms.subservice: core
-ms.date: 07/16/2024
+ms.date: 07/29/2024
 ms.topic: how-to
 ms.custom: UpdateFrequency5, sdkv1
 
@@ -55,26 +55,6 @@ To deploy your MLflow model to an Azure Machine Learning web service, your model
 
 For the deployment to Azure Container Instances, you don't need to define any deployment configuration. The service defaults to an Azure Container Instances deployment when a configuration isn't provided. You can register and deploy the model in one step with MLflow's [deploy](https://www.mlflow.org/docs/latest/python_api/mlflow.azureml.html#mlflow.azureml.deploy) method for Azure Machine Learning.
 
-<!-- Reviewer: The following cell returns an error: 
- 
-    File /anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/packaging/specifiers.py:25
-      10 from typing import (
-      (...)
-      21     Union,
-      22 )
-      24 from .utils import canonicalize_version
- ~~~> 25 from .version import LegacyVersion, Version, parse
-      27 ParsedVersion = Union[Version, LegacyVersion]
-      28 UnparsedVersion = Union[Version, LegacyVersion, str]
-
-    ImportError: cannot import name 'LegacyVersion' from 'packaging.version'
-    (/anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/packaging/version.py)
-
-    I tried downgrading the packaging version to 21.3 (or older) per this StackOverflow report, but the problem persists:
-    https://stackoverflow.com/questions/74941714/importerror-cannot-import-name-legacyversion-from-packaging-version
-
--->
-
 ```python
 from mlflow.deployments import get_deploy_client