prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  Update `sklearn` Integration to Support Versions >1.3.0 and Resolve MLflow Autologging Issues
  ## Open Source Contributors Welcomed!
  Please comment below if you would like to work on this issue!
  
  ### Contact Details [Optional]
  
  support@zenml.io
  
  ### What happened?
  The current ZenML Sklearn integration is restricted to versions of Sklearn <1.3.0, as defined in `src/zenml/integrations/sklearn/__init__.py`. However, the release of Sklearn 1.3.0 necessitates an update to this constraint. Additionally, this Sklearn version upgrade appears to cause issues with MLflow autologging, likely due to compatibility conflicts.
  
  ### Task Description
  Update the Sklearn integration in ZenML to support Sklearn versions >1.3.0. Additionally, identify and resolve any issues arising in MLflow autologging due to this version update.
  
  ### Expected Outcome
  - The Sklearn integration in ZenML should allow for the use of Sklearn versions >1.3.0.
  - Any compatibility issues, especially with MLflow autologging, should be identified and resolved.
  - Ensure that all tests, including CI pipelines, pass with the updated Sklearn version.
  
  ### Steps to Implement
  
  - Modify the Sklearn version constraint in src/zenml/integrations/sklearn/__init__.py to allow for versions >1.3.0.
  - Investigate and identify the root cause of the issues with MLflow autologging when using Sklearn 1.3.0.
  - Implement necessary fixes or updates to ensure compatibility with the new Sklearn version.
  - Thoroughly test the changes, especially focusing on MLflow autologging functionality.
  - Update documentation and examples as necessary to reflect the support for the new Sklearn version.
  
  ### Additional Context
  This update is crucial for keeping ZenML compatible with the latest machine learning tools and libraries, ensuring that users can leverage the newest features and improvements in Sklearn.
  
  ### Code of Conduct
  - [ ] I agree to follow this project's Code of Conduct
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `src/zenml/integrations/sklearn/__init__.py`
  Content:
  ```
  1 #  Copyright (c) ZenML GmbH 2021. All Rights Reserved.
  2 #
  3 #  Licensed under the Apache License, Version 2.0 (the "License");
  4 #  you may not use this file except in compliance with the License.
  5 #  You may obtain a copy of the License at:
  6 #
  7 #       https://www.apache.org/licenses/LICENSE-2.0
  8 #
  9 #  Unless required by applicable law or agreed to in writing, software
  10 #  distributed under the License is distributed on an "AS IS" BASIS,
  11 #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
  12 #  or implied. See the License for the specific language governing
  13 #  permissions and limitations under the License.
  14 """Initialization of the sklearn integration."""
  15 
  16 from zenml.integrations.constants import SKLEARN
  17 from zenml.integrations.integration import Integration
  18 
  19 
  20 class SklearnIntegration(Integration):
  21     """Definition of sklearn integration for ZenML."""
  22 
  23     NAME = SKLEARN
  24     REQUIREMENTS = ["scikit-learn<1.3"]
  25 
  26     @classmethod
  27     def activate(cls) -> None:
  28         """Activates the integration."""
  29         from zenml.integrations.sklearn import materializers  # noqa
  30 
  31 
  32 SklearnIntegration.check_installation()
  33
  ```
  --- END FILES ---
  
  Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.
  
  Here is an example:
  
  ```diff
  diff --git a/examples/server_async.py b/examples/server_async.py
  --- a/examples/server_async.py
  +++ b/examples/server_async.py
  @@ -313,4 +313,4 @@
   
   
   if __name__ == "__main__":
  -    asyncio.run(run_async_server("."), debug=True)
  +    asyncio.run(run_async_server(), debug=True)
  diff --git a/examples/server_sync.py b/examples/server_sync.py
  --- a/examples/server_sync.py
  +++ b/examples/server_sync.py
  @@ -313,5 +313,5 @@
   
   
   if __name__ == "__main__":
  -    server = run_sync_server(".")
  +    server = run_sync_server()
       server.shutdown()
  
  ```
  
golden_diff: diff --git a/src/zenml/integrations/sklearn/__init__.py b/src/zenml/integrations/sklearn/__init__.py
  --- a/src/zenml/integrations/sklearn/__init__.py
  +++ b/src/zenml/integrations/sklearn/__init__.py
  @@ -21,7 +21,7 @@
       """Definition of sklearn integration for ZenML."""
   
       NAME = SKLEARN
  -    REQUIREMENTS = ["scikit-learn<1.3"]
  +    REQUIREMENTS = ["scikit-learn>1.3"]
   
       @classmethod
       def activate(cls) -> None:
  
verification_info: {"golden_diff": "diff --git a/src/zenml/integrations/sklearn/__init__.py b/src/zenml/integrations/sklearn/__init__.py\n--- a/src/zenml/integrations/sklearn/__init__.py\n+++ b/src/zenml/integrations/sklearn/__init__.py\n@@ -21,7 +21,7 @@\n     \"\"\"Definition of sklearn integration for ZenML.\"\"\"\n \n     NAME = SKLEARN\n-    REQUIREMENTS = [\"scikit-learn<1.3\"]\n+    REQUIREMENTS = [\"scikit-learn>1.3\"]\n \n     @classmethod\n     def activate(cls) -> None:\n", "issue": "Update `sklearn` Integration to Support Versions >1.3.0 and Resolve MLflow Autologging Issues\n## Open Source Contributors Welcomed!\r\nPlease comment below if you would like to work on this issue!\r\n\r\n### Contact Details [Optional]\r\n\r\nsupport@zenml.io\r\n\r\n### What happened?\r\nThe current ZenML Sklearn integration is restricted to versions of Sklearn <1.3.0, as defined in `src/zenml/integrations/sklearn/__init__.py`. However, the release of Sklearn 1.3.0 necessitates an update to this constraint. Additionally, this Sklearn version upgrade appears to cause issues with MLflow autologging, likely due to compatibility conflicts.\r\n\r\n### Task Description\r\nUpdate the Sklearn integration in ZenML to support Sklearn versions >1.3.0. Additionally, identify and resolve any issues arising in MLflow autologging due to this version update.\r\n\r\n### Expected Outcome\r\n- The Sklearn integration in ZenML should allow for the use of Sklearn versions >1.3.0.\r\n- Any compatibility issues, especially with MLflow autologging, should be identified and resolved.\r\n- Ensure that all tests, including CI pipelines, pass with the updated Sklearn version.\r\n\r\n### Steps to Implement\r\n\r\n- Modify the Sklearn version constraint in src/zenml/integrations/sklearn/__init__.py to allow for versions >1.3.0.\r\n- Investigate and identify the root cause of the issues with MLflow autologging when using Sklearn 1.3.0.\r\n- Implement necessary fixes or updates to ensure compatibility with the new Sklearn version.\r\n- Thoroughly test the changes, especially focusing on MLflow autologging functionality.\r\n- Update documentation and examples as necessary to reflect the support for the new Sklearn version.\r\n\r\n### Additional Context\r\nThis update is crucial for keeping ZenML compatible with the latest machine learning tools and libraries, ensuring that users can leverage the newest features and improvements in Sklearn.\r\n\r\n### Code of Conduct\r\n- [ ] I agree to follow this project's Code of Conduct\n", "before_files": [{"content": "#  Copyright (c) ZenML GmbH 2021. All Rights Reserved.\n#\n#  Licensed under the Apache License, Version 2.0 (the \"License\");\n#  you may not use this file except in compliance with the License.\n#  You may obtain a copy of the License at:\n#\n#       https://www.apache.org/licenses/LICENSE-2.0\n#\n#  Unless required by applicable law or agreed to in writing, software\n#  distributed under the License is distributed on an \"AS IS\" BASIS,\n#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express\n#  or implied. See the License for the specific language governing\n#  permissions and limitations under the License.\n\"\"\"Initialization of the sklearn integration.\"\"\"\n\nfrom zenml.integrations.constants import SKLEARN\nfrom zenml.integrations.integration import Integration\n\n\nclass SklearnIntegration(Integration):\n    \"\"\"Definition of sklearn integration for ZenML.\"\"\"\n\n    NAME = SKLEARN\n    REQUIREMENTS = [\"scikit-learn<1.3\"]\n\n    @classmethod\n    def activate(cls) -> None:\n        \"\"\"Activates the integration.\"\"\"\n        from zenml.integrations.sklearn import materializers  # noqa\n\n\nSklearnIntegration.check_installation()\n", "path": "src/zenml/integrations/sklearn/__init__.py"}], "after_files": [{"content": "#  Copyright (c) ZenML GmbH 2021. All Rights Reserved.\n#\n#  Licensed under the Apache License, Version 2.0 (the \"License\");\n#  you may not use this file except in compliance with the License.\n#  You may obtain a copy of the License at:\n#\n#       https://www.apache.org/licenses/LICENSE-2.0\n#\n#  Unless required by applicable law or agreed to in writing, software\n#  distributed under the License is distributed on an \"AS IS\" BASIS,\n#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express\n#  or implied. See the License for the specific language governing\n#  permissions and limitations under the License.\n\"\"\"Initialization of the sklearn integration.\"\"\"\n\nfrom zenml.integrations.constants import SKLEARN\nfrom zenml.integrations.integration import Integration\n\n\nclass SklearnIntegration(Integration):\n    \"\"\"Definition of sklearn integration for ZenML.\"\"\"\n\n    NAME = SKLEARN\n    REQUIREMENTS = [\"scikit-learn>1.3\"]\n\n    @classmethod\n    def activate(cls) -> None:\n        \"\"\"Activates the integration.\"\"\"\n        from zenml.integrations.sklearn import materializers  # noqa\n\n\nSklearnIntegration.check_installation()\n", "path": "src/zenml/integrations/sklearn/__init__.py"}]}