Lrnr_polspline_quiet: sl3 extension: multivariate adaptive polynomial spline...

In alexpkeil1/vibr: Variable Importance in Black-Box Regression

sl3 extension: multivariate adaptive polynomial spline regression (polymars) and polychotomous regression and multiple classification (polyclass)

Description

This is a copy of sl3::Lrnr_polspline modified to supress all outputs

Format

R6Class object.

Details

This learner provides fitting procedures for an adaptive regression procedure using piecewise linear splines to model the response, using the function polymars or polyclass from the polspline package as appropriate.

Value

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

Parameters

cv

The number of cross-validation folds to be used in evaluating the sequence of fit models. This is only passed to polyclass for binary/categorical outcomes.

...

Other parameters passed to either polymars or polyclass. See their documentation for details.

Super class

sl3::Lrnr_base -> Lrnr_polspline_quiet

Methods

Public methods

• Lrnr_polspline_quiet$new()

• Lrnr_polspline_quiet$clone()

Inherited methods

• sl3::Lrnr_base$assert_trained()
• sl3::Lrnr_base$base_chain()
• sl3::Lrnr_base$base_predict()
• sl3::Lrnr_base$base_train()
• sl3::Lrnr_base$chain()
• sl3::Lrnr_base$custom_chain()
• sl3::Lrnr_base$get_outcome_range()
• sl3::Lrnr_base$get_outcome_type()
• sl3::Lrnr_base$predict()
• sl3::Lrnr_base$predict_fold()
• sl3::Lrnr_base$print()
• sl3::Lrnr_base$process_formula()
• sl3::Lrnr_base$reparameterize()
• sl3::Lrnr_base$retrain()
• sl3::Lrnr_base$sample()
• sl3::Lrnr_base$set_train()
• sl3::Lrnr_base$subset_covariates()
• sl3::Lrnr_base$train()
• sl3::Lrnr_base$train_sublearners()

---

Method new()

Usage

Lrnr_polspline_quiet$new(cv = 5, ...)

---

Method clone()

The objects of this class are cloneable with this method.

Usage

Lrnr_polspline_quiet$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

Other Learners: Lrnr_density_gaussian, Lrnr_multinom, Lrnr_solnp_density_quiet, Lrnr_solnp_quiet, Lrnr_stepwise

alexpkeil1/vibr documentation built on Sept. 13, 2023, 3:20 a.m.