trainingLoss

@JvmName(name = "bsymmyyflymmkwls")
suspend fun trainingLoss(value: Output<Double>)
@JvmName(name = "uxpmlplctawwpwvd")
suspend fun trainingLoss(value: Double?)

Parameters

value

Output-only, Beta Training loss computed on the training data at the end of the iteration. The training loss function is defined by model type.