For this engine, there is a single mode: classification
This engine has no tuning parameters.
The discrim extension package is required to fit this model.
library(discrim)
discrim_linear() %>%
set_engine("MASS") %>%
translate()
## Linear Discriminant Model Specification (classification)
##
## Computational engine: MASS
##
## Model fit template:
## MASS::lda(formula = missing_arg(), data = missing_arg())
Factor/categorical predictors need to be converted to numeric values (e.g., dummy or indicator variables) for this engine. When using the formula method via \code{\link[=fit.model_spec]{fit()}}, parsnip will convert factor columns to indicators.
Variance calculations are used in these computations so zero-variance predictors (i.e., with a single unique value) should be eliminated before fitting the model.
The underlying model implementation does not allow for case weights.
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.