MicrogradEx.Losses.Result (MicrogradEx v0.1.0)

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Result of evaluating a supervised scalar loss.

Summary

Types

t()

@type t() :: %MicrogradEx.Losses.Result{
  accuracy: float(),
  data_loss: MicrogradEx.Value.t(),
  reg_loss: MicrogradEx.Value.t(),
  scores: [MicrogradEx.Value.t()],
  total_loss: MicrogradEx.Value.t()
}