Expand description
§use-ml-metric
Metric name, value, and direction metadata primitives for RustUse.
§Experimental
use-ml-metric is experimental while use-ml remains below 0.3.0.
§Example
use use_ml_metric::{MlClassificationMetric, MlMetricDirection, MlMetricName, MlMetricValue};
let name = MlMetricName::new("accuracy")?;
let value = MlMetricValue::new(0.93)?;
assert_eq!(name.as_str(), "accuracy");
assert_eq!(value.value(), 0.93);
assert_eq!(MlClassificationMetric::Accuracy.direction(), MlMetricDirection::HigherIsBetter);§Scope
- Metric names, finite metric values, directions, aggregations, and metric categories.
- Generic classification, regression, ranking, clustering, and generation metric labels.
- Obvious metric-direction helpers.
§Non-goals
- Complete metric calculation implementations in v0.1.
- LLM-specific metrics such as faithfulness, groundedness, toxicity, refusal quality, jailbreak resistance, instruction following, or answer relevance.
§License
Licensed under either Apache-2.0 or MIT.