xg_auto_ml: Auto Machine Learning

In ArnaudBu/ezXg: Easy xbgoost wrapper

Description

xg_auto_ml compiles all the functions for calibrating a xgboost model into a single one.

Usage

xg_auto_ml(data, param)

Arguments

data	Character. The link to the file containing the data. The data are imported with the fread function from the data.table package (fread), so the format must be consistent with a csv file.
param	Character. A link to a YAML file with all the the parameters for calibrating the model. See system.file("extdata", "ex_param.yml", package = "ezXg") for an example.

Value

A calibrated model directly usable for prediction, consistent with a model produced by xg_train.

Examples

md <- xg_auto_ml(system.file("extdata", "titanic.csv", package = "ezXg"),
                 system.file("extdata", "ex_param.yml", package = "ezXg"))

ArnaudBu/ezXg documentation built on Oct. 30, 2019, 4:59 a.m.