BqmlIterationResultArgs

Output-only, Beta Time taken to run the training iteration in milliseconds.

Output-only, Beta Eval loss computed on the eval data at the end of the iteration. The eval loss is used for early stopping to avoid overfitting. No eval loss if eval_split_method option is specified as no_split or auto_split with input data size less than 500 rows.

Output-only, Beta Index of the ML training iteration, starting from zero for each training run.

Output-only, Beta Learning rate used for this iteration, it varies for different training iterations if learn_rate_strategy option is not constant.

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.