klyn.math.nn.Evaluation.Evaluation
constructor
public Evaluation(totalLoss as Double, samples as ULong)
Description

Constructs loss-only regression metrics. MSE averages output coordinates within each sample before weighting rows.

Parameters
ParameterDescription
totalLossSum of per-sample losses.
samplesPositive number of evaluated observations.
Throws
  • ValueException for invalid totals/counts; accuracy access is rejected.
Example

result = Evaluation(12.0, 10ul)