llm.predict: Create Logit Leaf Model

In arnodc2/LLM: Logit Leaf Model

Description

This function creates the logit leaf model. It assumes a dataframe with numeric values as input and a corresponding vector with dependent values. Decision tree parameters threshold for pruning and number of observations per leaf can be set.

Usage

llm.predict(df, y_value, llm_object)

Arguments

df	dataframe containing numerical independent variables
y_value	numerical vector of dependent variable. Currently only two class classification is supported
llm_object	output of the llm function. A LLM object containing decision rules that define segments and logistic regressions per segment
nbr_obs_leaf	the minimum number of observations in a leaf node

Value

the predictions of the llm model

arnodc2/LLM documentation built on May 17, 2019, 1:35 p.m.