Fix MLflow compatibility in pipeline tutorial train.py

[Chakradhar886]

The curated sklearn-1.5 environment updated MLflow to 2.19+ which introduced the logged-models API (/api/2.0/mlflow/logged-models) not supported by AzureML tracking server, causing mlflow.sklearn.log_model() to fail with 404.

Changes:

• Use autolog(log_models=False) to prevent autolog from calling the unsupported API
• Replace mlflow.sklearn.log_model() with save_model + log_artifacts + register_model which use older, supported MLflow endpoints

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