Skip to contents

Standard Logistic Regression for Binary Classification

Source: R/binary_learners.R
lnr_logistic.Rd

A wrapper provided for convenience around lnr_glm that sets family = binomial(link = 'logit').

Usage

lnr_logistic(data, formula, weights = NULL, ...)

Arguments

data

A dataframe to train a learner / learners on.

formula

A regression formula to use inside this learner.

weights

Observation weights; see ?lm

...

Any extra arguments that should be passed to the internal model for model fitting purposes.

Value

A prediction function that accepts newdata, which returns predictions for the probability of the outcome being 1/TRUE (a numeric vector of values, one for each row of newdata).