predict.xgb.Booster.prmdt: predict.xgb.Booster

In PROMiDAT/trainR: Predictive (Classification and Regression) Models Homologator

predict.xgb.Booster

Description

Return prediction for a xgb.train model.

Usage

## S3 method for class 'xgb.Booster.prmdt'
predict(
  object,
  newdata,
  type = "class",
  missing = NA,
  outputmargin = FALSE,
  ntreelimit = NULL,
  predleaf = FALSE,
  predcontrib = FALSE,
  approxcontrib = FALSE,
  predinteraction = FALSE,
  reshape = FALSE,
  ...
)

Arguments

object	a xgb.train model object for which prediction is desired.
newdata	an optional data frame in which to look for variables with which to predict.
type	type of prediction 'prob' or 'class' (default).
missing	Missing is only used when input is dense matrix. Pick a float value that represents missing values in data (e.g., sometimes 0 or some other extreme value is used).
outputmargin	whether the prediction should be returned in the for of original untransformed sum of predictions from boosting iterations' results. E.g., setting outputmargin=TRUE for logistic regression would result in predictions for log-odds instead of probabilities.
ntreelimit	Deprecated, use iterationrange instead.
predleaf	whether predict leaf index.
predcontrib	whether to return feature contributions to individual predictions (see Details).
approxcontrib	whether to use a fast approximation for feature contributions (see Details).
predinteraction	whether to return contributions of feature interactions to individual predictions (see Details).
reshape	whether to reshape the vector of predictions to a matrix form when there are several prediction outputs per case. This option has no effect when either of predleaf, predcontrib, or predinteraction flags is TRUE.
...	additional arguments affecting the predictions produced.

Value

a vector or matrix of predictions for xgb model.

PROMiDAT/trainR documentation built on Nov. 13, 2023, 3:20 a.m.