message: Update python_interface.md with sample in `metrics_spec`
diff: @@ -102,7 +102,7 @@ hugectr.CreateSolver()
  * `scaler`: The scaler to be used when mixed precision training is enabled. Only 128, 256, 512, and 1024 scalers are supported for mixed precision training. The default value is 1.0, which corresponds to no mixed precision training.
  -* `metrics_spec`: Map of enabled evaluation metrics. You can use either AUC or AverageLoss, or both of them. For AUC, you can set its threshold, such as {MetricsType.AUC: 0.8025}, so that the training terminates when it reaches that threshold. The default value is {MetricsType.AUC: 1.0}.
  +* `metrics_spec`: Map of enabled evaluation metrics. You can use either AUC or AverageLoss, or both of them. For AUC, you can set its threshold, such as {MetricsType.AUC: 0.8025}, so that the training terminates when it reaches that threshold. The default value is {MetricsType.AUC: 1.0}. Multiple metrics can be specified in one job. For example: metrics_spec = {hugectr.MetricsType.HitRate: 0.8, hugectr.MetricsType.AverageLoss:0.0, hugectr.MetricsType.AUC: 1.0})
  * `i64_input_key`: If your dataset format is `Norm`, you can choose the data type of each input key. For the `Parquet` format dataset generated by NVTabular, only I64 is allowed. For the `Raw` dataset format, only I32 is allowed. Set this value to `True` when you need to use I64 input key. The default value is `False`.
  