def METHOD_NAME(self) -> None:
    """
    Create Metric objects based off of the model_metrics data and add to cache
    """
    metrics_section = self._parse_metrics_section("model_metrics")
    if not metrics_section:
        raise merrors.MetricsCacheValueError(
            "Missing `model_metrics` specification"
        )
    for metric_type, metrics_list in metrics_section.items():
        try:
            metric_enum = MetricTypes(metric_type)
        except Exception as exc:
            raise merrors.MetricsCacheKeyError(f"Invalid metric type: {exc}")
        for metric in metrics_list:
            try:
                metric_name = metric["name"]
                unit = metric["unit"]
                dimension_names = metric["dimensions"]
                self.add_metric_to_cache(
                    metric_name=metric_name,
                    unit=unit,
                    dimension_names=dimension_names,
                    metric_type=metric_enum,
                )
            except KeyError as k_err:
                raise merrors.MetricsCacheKeyError(
                    f"Key not found in cache spec: {k_err}"
                )