xgb_params is the list of parameters to train a LR model or Scorecard using in training_model.
xgb_params(nrounds = 1000, params = list(max.depth = 6, eta = 0.1,
min_child_weight = 1, subsample = 1, colsample_bytree = 1, gamma = 0,
max_delta_step = 0, eval_metric = "auc", objective = "binary:logistic"),
early_stopping_rounds = 100, ...)Max number of boosting iterations.
A list contains parameters of xgboost.The complete list of parameters is available at: http://xgboost.readthedocs.io/en/latest/parameter.html
If NULL, the early stopping function is not triggered. If set to an integer k, training with a validation set will stop if the performance doesn't improve for k rounds.
Other parameters
A list of parameters.