diff --git a/h2o-py-mlflow-flavor/DESCRIPTION.rst b/h2o-py-mlflow-flavor/DESCRIPTION.rst index 6d7ade192670..c4defa766905 100644 --- a/h2o-py-mlflow-flavor/DESCRIPTION.rst +++ b/h2o-py-mlflow-flavor/DESCRIPTION.rst @@ -26,8 +26,7 @@ The model that was trained with H2O-3 runtime can be exported to MLFlow registry Compared to `log_model` functions of the other flavors being a part of MLFlow, this function has two extra arguments: -* ``model_type`` - It indicates whether the model should be exported as `MOJO `_ -or `POJO `_. The default value is `MOJO`. +* ``model_type`` - It indicates whether the model should be exported as `MOJO `_ or `POJO `_. The default value is `MOJO`. * ``extra_prediction_args`` - A list of extra arguments for java scoring process. Possible values: