tunable_tdavec: 'tunable()' methods for tdavec package

In tdarec: A 'recipes' Extension for Persistent Homology and Its Vectorizations

tunable() methods for tdavec package

Description

These functions define what parameters can be tuned for specific steps. They also define the recommended objects from dials that can be used to generate new parameter values and other characteristics.

Usage

## S3 method for class 'step_vpd_algebraic_functions'
tunable(x, ...)

## S3 method for class 'step_vpd_betti_curve'
tunable(x, ...)

## S3 method for class 'step_vpd_complex_polynomial'
tunable(x, ...)

## S3 method for class 'step_vpd_descriptive_statistics'
tunable(x, ...)

## S3 method for class 'step_vpd_euler_characteristic_curve'
tunable(x, ...)

## S3 method for class 'step_vpd_normalized_life_curve'
tunable(x, ...)

## S3 method for class 'step_vpd_persistence_block'
tunable(x, ...)

## S3 method for class 'step_vpd_persistence_image'
tunable(x, ...)

## S3 method for class 'step_vpd_persistence_landscape'
tunable(x, ...)

## S3 method for class 'step_vpd_persistence_silhouette'
tunable(x, ...)

## S3 method for class 'step_vpd_persistent_entropy_summary'
tunable(x, ...)

## S3 method for class 'step_vpd_tent_template_functions'
tunable(x, ...)

## S3 method for class 'step_vpd_tropical_coordinates'
tunable(x, ...)

Arguments

x	A recipe step object
...	Not used.

Value

A tibble (class tbl_df).

tdarec documentation built on June 8, 2025, 10:41 a.m.