Trait MetricRegistration 

pub trait MetricRegistration<LC>: Sized
where
    LC: LearningComponentsTypes,
{
    // Required method
    fn register(self, builder: SupervisedTraining<LC>) -> SupervisedTraining<LC>;
}

Trait to fake variadic generics.

Required Methods

fn register(self, builder: SupervisedTraining<LC>) -> SupervisedTraining<LC>

Register the metrics.

Dyn Compatibility

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.

Implementations on Foreign Types

impl<M1, LC> MetricRegistration<LC> for (M1,)

where LC: LearningComponentsTypes, <<<LC as LearningComponentsTypes>::TrainingModel as TrainStep>::Output as ItemLazy>::ItemSync: Adaptor<<M1 as Metric>::Input>, <<<LC as LearningComponentsTypes>::InferenceModel as InferenceStep>::Output as ItemLazy>::ItemSync: Adaptor<<M1 as Metric>::Input>, M1: Metric + Numeric + 'static,

fn register(self, builder: SupervisedTraining<LC>) -> SupervisedTraining<LC>

impl<M1, M2, LC> MetricRegistration<LC> for (M1, M2)

where LC: LearningComponentsTypes, <<<LC as LearningComponentsTypes>::TrainingModel as TrainStep>::Output as ItemLazy>::ItemSync: Adaptor<<M1 as Metric>::Input> + Adaptor<<M2 as Metric>::Input>, <<<LC as LearningComponentsTypes>::InferenceModel as InferenceStep>::Output as ItemLazy>::ItemSync: Adaptor<<M1 as Metric>::Input> + Adaptor<<M2 as Metric>::Input>, M1: Metric + Numeric + 'static, M2: Metric + Numeric + 'static,

fn register(self, builder: SupervisedTraining<LC>) -> SupervisedTraining<LC>

impl<M1, M2, M3, LC> MetricRegistration<LC> for (M1, M2, M3)

where LC: LearningComponentsTypes, <<<LC as LearningComponentsTypes>::TrainingModel as TrainStep>::Output as ItemLazy>::ItemSync: Adaptor<<M1 as Metric>::Input> + Adaptor<<M2 as Metric>::Input> + Adaptor<<M3 as Metric>::Input>, <<<LC as LearningComponentsTypes>::InferenceModel as InferenceStep>::Output as ItemLazy>::ItemSync: Adaptor<<M1 as Metric>::Input> + Adaptor<<M2 as Metric>::Input> + Adaptor<<M3 as Metric>::Input>, M1: Metric + Numeric + 'static, M2: Metric + Numeric + 'static, M3: Metric + Numeric + 'static,

fn register(self, builder: SupervisedTraining<LC>) -> SupervisedTraining<LC>

impl<M1, M2, M3, M4, LC> MetricRegistration<LC> for (M1, M2, M3, M4)

where LC: LearningComponentsTypes, <<<LC as LearningComponentsTypes>::TrainingModel as TrainStep>::Output as ItemLazy>::ItemSync: Adaptor<<M1 as Metric>::Input> + Adaptor<<M2 as Metric>::Input> + Adaptor<<M3 as Metric>::Input> + Adaptor<<M4 as Metric>::Input>, <<<LC as LearningComponentsTypes>::InferenceModel as InferenceStep>::Output as ItemLazy>::ItemSync: Adaptor<<M1 as Metric>::Input> + Adaptor<<M2 as Metric>::Input> + Adaptor<<M3 as Metric>::Input> + Adaptor<<M4 as Metric>::Input>, M1: Metric + Numeric + 'static, M2: Metric + Numeric + 'static, M3: Metric + Numeric + 'static, M4: Metric + Numeric + 'static,

fn register(self, builder: SupervisedTraining<LC>) -> SupervisedTraining<LC>

impl<M1, M2, M3, M4, M5, LC> MetricRegistration<LC> for (M1, M2, M3, M4, M5)

where LC: LearningComponentsTypes, <<<LC as LearningComponentsTypes>::TrainingModel as TrainStep>::Output as ItemLazy>::ItemSync: Adaptor<<M1 as Metric>::Input> + Adaptor<<M2 as Metric>::Input> + Adaptor<<M3 as Metric>::Input> + Adaptor<<M4 as Metric>::Input> + Adaptor<<M5 as Metric>::Input>, <<<LC as LearningComponentsTypes>::InferenceModel as InferenceStep>::Output as ItemLazy>::ItemSync: Adaptor<<M1 as Metric>::Input> + Adaptor<<M2 as Metric>::Input> + Adaptor<<M3 as Metric>::Input> + Adaptor<<M4 as Metric>::Input> + Adaptor<<M5 as Metric>::Input>, M1: Metric + Numeric + 'static, M2: Metric + Numeric + 'static, M3: Metric + Numeric + 'static, M4: Metric + Numeric + 'static, M5: Metric + Numeric + 'static,

fn register(self, builder: SupervisedTraining<LC>) -> SupervisedTraining<LC>

impl<M1, M2, M3, M4, M5, M6, LC> MetricRegistration<LC> for (M1, M2, M3, M4, M5, M6)

where LC: LearningComponentsTypes, <<<LC as LearningComponentsTypes>::TrainingModel as TrainStep>::Output as ItemLazy>::ItemSync: Adaptor<<M1 as Metric>::Input> + Adaptor<<M2 as Metric>::Input> + Adaptor<<M3 as Metric>::Input> + Adaptor<<M4 as Metric>::Input> + Adaptor<<M5 as Metric>::Input> + Adaptor<<M6 as Metric>::Input>, <<<LC as LearningComponentsTypes>::InferenceModel as InferenceStep>::Output as ItemLazy>::ItemSync: Adaptor<<M1 as Metric>::Input> + Adaptor<<M2 as Metric>::Input> + Adaptor<<M3 as Metric>::Input> + Adaptor<<M4 as Metric>::Input> + Adaptor<<M5 as Metric>::Input> + Adaptor<<M6 as Metric>::Input>, M1: Metric + Numeric + 'static, M2: Metric + Numeric + 'static, M3: Metric + Numeric + 'static, M4: Metric + Numeric + 'static, M5: Metric + Numeric + 'static, M6: Metric + Numeric + 'static,

fn register(self, builder: SupervisedTraining<LC>) -> SupervisedTraining<LC>

Implementors