1 | track.control(step_size = -1, evaluate.metric = "LL", convergence = 1e-04)
|
step_size |
record parameters every step_size iteration |
convergence, evaluate.metric |
control how to early stop |
Early stopping is controlled by evaludate.metric and convergence. If the difference of the value between two interations, which is
calculated by evaluate.metric
, is smaller than convergence
for three times in a row, iteration will stop early.
evaluate.metric
includes:
"LL":loglikehood
"AUC": auc
"ACC": accurancy
"RMSE": root mean square err
"MAE": mean absolute error
"LL","AUC","ACC" are for CLASSIFICATION task. And "RMSE","MAE" are for REGRESSION task.
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