pub struct MetaValidator<T: Float + Debug + Send + Sync + 'static> { /* private fields */ }Expand description
Meta-validation system for meta-learning.
Holds out a deterministic slice of the task pool and measures the real post-adaptation query loss of the current meta-parameters on it.
Implementations§
Source§impl<T: Float + Debug + Send + Sync + 'static + Default + Clone + Sum + ScalarOperand> MetaValidator<T>
impl<T: Float + Debug + Send + Sync + 'static + Default + Clone + Sum + ScalarOperand> MetaValidator<T>
pub fn new(config: &MetaLearningConfig) -> Result<Self>
Sourcepub fn with_holdout_fraction(self, fraction: f64) -> Result<Self>
pub fn with_holdout_fraction(self, fraction: f64) -> Result<Self>
Override the held-out fraction (must be in (0, 1)).
Sourcepub fn validate(
&self,
meta_parameters: &MetaParameters<T>,
tasks: &[MetaTask<T>],
meta_learner: &mut dyn MetaLearner<T>,
) -> Result<ValidationResult>
pub fn validate( &self, meta_parameters: &MetaParameters<T>, tasks: &[MetaTask<T>], meta_learner: &mut dyn MetaLearner<T>, ) -> Result<ValidationResult>
Validate the current meta-parameters against held-out tasks.
Each held-out task is adapted with the learner’s own inner loop, then scored on its query set. The reported loss is the mean of those query losses — never a constant.
Auto Trait Implementations§
impl<T> Freeze for MetaValidator<T>where
PhantomData<T>: Freeze,
impl<T> RefUnwindSafe for MetaValidator<T>where
PhantomData<T>: RefUnwindSafe,
impl<T> Send for MetaValidator<T>where
PhantomData<T>: Send,
impl<T> Sync for MetaValidator<T>where
PhantomData<T>: Sync,
impl<T> Unpin for MetaValidator<T>where
PhantomData<T>: Unpin,
impl<T> UnsafeUnpin for MetaValidator<T>where
PhantomData<T>: UnsafeUnpin,
impl<T> UnwindSafe for MetaValidator<T>where
PhantomData<T>: UnwindSafe,
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