R: aGTBoost Count-Regression Auto Prediction

predict.Rcpp_GBT_COUNT_AUTO {agtboost} | R Documentation

## aGTBoost Count-Regression Auto Prediction

### Description

`predict` is an interface for predicting from a `agtboost` model.

### Usage

    ## S3 method for class 'Rcpp_GBT_COUNT_AUTO'
    predict(object, newdata, ...)

### Arguments

`object` | Object or pointer to object of class `GBT_ZI_MIX`
`newdata` | Design matrix of data to be predicted. Type `matrix`
`...` | additional parameters passed. Currently not in use.

### Details

The prediction function for `agtboost`. Using the generic `predict` function in R is also possible, using the same arguments.

### Value

For regression or binary classification, it returns a vector of length `nrows(newdata)`.

### References

Berent Ånund Strømnes Lunde, Tore Selland Kleppe and Hans Julius Skaug, "An Information Criterion for Automatic Gradient Tree Boosting", 2020, https://arxiv.org/abs/2008.05926

### See Also

`gbt.train`

### Examples

    ## A simple gtb.train example with linear regression:
    ## Random generation of zero-inflated poisson
    2+2

[Package agtboost version 0.9.3 Index]