This learner provides fitting procedures for subsetting covariates. It is a convenience utility for reducing the number of covariates to be fit.

Format

R6Class object.

Value

Learner object with methods for training and prediction. See Lrnr_base for documentation on learners.

Parameters

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Not currently used.

Common Parameters

Individual learners have their own sets of parameters. Below is a list of shared parameters, implemented by Lrnr_base, and shared by all learners.

covariates

A character vector of covariates. The learner will use this to subset the covariates for any specified task

outcome_type

A variable_type object used to control the outcome_type used by the learner. Overrides the task outcome_type if specified

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All other parameters should be handled by the invidual learner classes. See the documentation for the learner class you're instantiating