retrainLogit: Retrain logit after hyperparameter selection.

In novasmedley/gbmSpm: Find predictive sequential patterns for clinical glioblastoma patients

Description

Used for fitting the full training partition.

Usage

retrainLogit(data, formula, labelName, lambda = NULL, lasso = TRUE,
  predictors = NULL, needToRemove = NULL, createModelMatrix = FALSE,
  metric = c("prAUC", "rocAUC"), seed, verbose = TRUE)

Arguments

data	dataframe, rows are samples, cols are features plus some metadata not meant for modeling and will be removed
formula	char or formula object
labelName	char, column name of binary label
lambda	numberic, lambda value
lasso	logical, whether to use lasso regularization
predictors	char, names of columns in data that should be in logit fit data
needToRemove	char, names of columns in data that should not be in logit fit data
createModelMatrix	logical, call model.matrix
metric	char, see aucs
seed	int, seed for split
verbose	logical, True for print, False for silence

novasmedley/gbmSpm documentation built on May 17, 2019, 10:39 a.m.