customXGBoost: Custom version of XGBoost

In thomaswiemann/SMLpractical:

Description

Custom version of XGBoost

Usage

customXGBoost(y.train, layer = 1, dat.train, dat.test, dat.testREAL,
  max.depth = 100, num_parallel_tree = 100, eta = 0.1, gamma = 0.1,
  nthread = 2, nrounds = 10, num_class = 26,
  objective = "multi:softmax", colsample_bytree = 0.3,
  colsample_bylevel = 0.5, colsample_bynode = 1, subsample = 0.75,
  pass.object = FALSE)

Arguments

x	is an object

Value

y is the output

thomaswiemann/SMLpractical documentation built on May 28, 2019, 12:23 p.m.