predict.logistic_regression: Predict from a 'logistic_regression'

In jlaria/glasp: Group Linear Algorithm with Sparse Principal decomposition

Predict from a logistic_regression

Description

Predict from a logistic_regression

Usage

## S3 method for class 'logistic_regression'
predict(object, new_data, type = "numeric", ...)

Arguments

object	A logistic_regression object.
new_data	A data frame or matrix of new predictors.
type	A single character. The type of predictions to generate. Valid options are: "numeric" for numeric predictions.
...	Not used, but required for extensibility.

Value

A tibble of predictions. The number of rows in the tibble is guaranteed to be the same as the number of rows in new_data.

Examples

set.seed(0)
data <- simulate_dummy_logistic_data()

model <- logistic_regression(y~., data, l1=0.05, l2=0.01, frob=0.01, num_comp=3)

new_data <- simulate_dummy_logistic_data()

predict(model, new_data, type = "numeric")
predict(model, new_data, type = "prob")
predict(model, new_data, type = "class")

jlaria/glasp documentation built on Dec. 5, 2022, 6:42 a.m.