invoke_model: invoke_model.

In hhcartr: HHCART(G) - A Reflected Feature Space for CART

Description

This function instantiates a HHDecisionTree model, it is used to induce classification or regression trees depending upon the value of the response parameter. It supports the parameters listed below. It is used to find the optimum value for min_node_impurity.

Usage

invoke_model(
  X,
  y,
  try_this_min_imp,
  iter,
  response,
  mni_n_folds,
  mni_n_trees,
  useIdentity,
  seed
)

Arguments

X	The feature variables we will use to train the HHDecisionTree model on.
y	The target variable.
try_this_min_imp	The minimum node impurity we will try on this invocation of the HHDecisionTree model.
iter	The number of times function invoke_model has been invoked, used to increment a number that is passed to the function set.seed().
response	The response parameter is used to specify what type of model to build, either 'classify' for a classification tree model or 'regressor' for a regression tree model. The default is 'classify'.
mni_n_folds	The number of folds to pass to mni.control to be used to instantiate a HHDecisionTree model when searching for an optimum value of min_node_impurity.
mni_n_trees	The number of trees to pass to mni.control to be used to instantiate a HHDecisionTree model when searching for an optimum value of min_node_impurity.
useIdentity	The useIdentity parameter when set TRUE will result in hhcartr using the original training data to find the optimal splits rather than using the reflected data. The default value is FALSE.
seed	The seed parameter is used to provide a seed value for the R random number generator to ensure repeatable experiments.

Value

Returns statistics on the current run of the HHDecisionTree model.

hhcartr documentation built on July 2, 2021, 9:06 a.m.