report.xgb.helper: Extreme Gradient Boosting HTML report helper function

In Laurae2/Laurae: Advanced High Performance Data Science Toolbox for R

Description

This function is used to train a model using xgboost in the automated HTML report creator. It must handle three arguments: train, valid, and params.

Usage

report.xgb.helper(train, valid, params, nrounds = 1e+06, model = NULL)

Arguments

train	Type: xgb.DMatrix. The labelled training data.
valid	Type: xgb.DMatrix. The labelled testing data.
params	Type: list. The parameters as a list.
nrounds	Type: numeric. The number of training iterations.
model	Type: xgb.Booster. The xgboost model to train from.

Value

A xgboost model.

Examples

# No example.
## Not run: 

Laurae2/Laurae documentation built on May 8, 2019, 7:59 p.m.