setLassoLogisticRegression: Create setting for lasso logistic regression

In hxia/plp-git-demo: Package for patient level prediction using data in the OMOP Common Data Model

Description

Create setting for lasso logistic regression

Usage

setLassoLogisticRegression(
  variance = 0.01,
  seed = NULL,
  threads = -1,
  useCrossValidation = TRUE
)

Arguments

variance	a single value used as the starting value for the automatic lambda search
seed	An option to add a seed when training the model
threads	An option to set number of threads when training model
useCrossValidation	Set this to FALSE if you want to train a LR with a preset varience

Examples

model.lr <- setLassoLogisticRegression()

hxia/plp-git-demo documentation built on March 19, 2021, 1:54 a.m.