tuneStageOne-honestRF: tuneStageOne-honestRF

Description Usage Arguments Value

Description

Tune the estimator in the first stage given a fixed second stage estimator

Usage

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tuneStageOne(x, y, m_tau_init, sampsize = as.integer(nrow(x) * 0.75),
  num_iter = 1024, eta = 2, verbose = FALSE, seed = 24750371,
  nthread = 0)

Arguments

x

A data frame of all training predictors.

y

A vector of all training responses.

m_tau_init

The initialize m_tau estimator.

sampsize

The size of total samples to draw for the training data.

num_iter

Maximum iterations/epochs per configuration. Default is 1024.

eta

Downsampling rate. Default value is 2.

verbose

if tuning process in verbose mode

seed

random seed

nthread

Number of threads to train and predict thre forest. The default number is 0 which represents using all cores.

Value

A 'honestRF' object


soerenkuenzel/hte documentation built on June 12, 2018, 4:26 p.m.