Galileo-Galilei02/14/2022, 10:06 PM
This is easier than returning the complex format above 3. Unfortunately this is not linked to ``kedro-mlflow``, I don't modify the UI. I know that mlflow often changes its UI and it slightly varies across versions. Feel free to [open an issue to my repo](https://github.com/Galileo-Galilei/kedro-mlflow/issues), I'll add it to my backlog to log it as a tag in the future so we can have consistent access across mlflow versions.
python # in node.py def compute_metrics (y_true, y_preds): <compute> return metric1, metric2, [metric3_step0, metric3_step1, metric3_step2, metric3_step3] # in pipeline_registry.py Pipeline([ ..., node(compute_metrics, ["y_true", "y_preds"], [my_metric1, my_metric2, my_metric3]), ... ]) # in catalog.yml my_metric1: type: kedro_mlflow.io.metrics.MlflowMetricDataSet my_metric2: type: kedro_mlflow.io.metrics.MlflowMetricDataSet my_metric3: type: kedro_mlflow.io.metrics.MlflowMetricHistoryDataSet