To fix #3277 (#3280)

* To fix #3277

To fix #3277 , replace `_VALID_PARAM_AND_METRIC_NAMES ` to regular expression from `mlflow`

https://github.com/mlflow/mlflow/blob/d6625d6df85b61f3661ba90efc36f94511a5c23f/mlflow/utils/validation.py#L15C1-L15C60

* autopep8 fix

* Update mlflow_logger.py

* Update ignite/handlers/mlflow_logger.py

* Update mlflow_logger.py

Remove `import re`

---------

Co-authored-by: puhuk <puhuk@users.noreply.github.com>
Co-authored-by: vfdev <vfdev.5@gmail.com>

ignite/handlers/mlflow_logger.py

@@ -245,15 +245,15 @@ def __call__(self, engine: Engine, logger: MLflowLogger, event_name: Union[str,
             )
 
         # Additionally recheck metric names as MLflow rejects non-valid names with MLflowException
-        from mlflow.utils.validation import _VALID_PARAM_AND_METRIC_NAMES
+        from mlflow.utils.validation import validate_param_and_metric_name
 
         metrics = {}
         for keys, value in rendered_metrics.items():
             key = " ".join(keys)
             metrics[key] = value
 
         for key in list(metrics.keys()):
-            if not _VALID_PARAM_AND_METRIC_NAMES.match(key):
+            if not validate_param_and_metric_name(key):
                 warnings.warn(
                     f"MLflowLogger output_handler encountered an invalid metric name '{key}' that "
                     "will be ignored and not logged to MLflow"

requirements-dev.txt

@@ -17,7 +17,7 @@ tensorboardX
 visdom
 polyaxon
 wandb
-mlflow<2.16.0  # https://github.com/pytorch/ignite/issues/3277
+mlflow
 neptune-client>=0.16.17
 tensorboard
 torchvision