R6_par_unif {comparer}

R6 class for Uniform parameter

Description

R6 class for Uniform parameter

R6 class for Uniform parameter

Details

Parameter with uniform distribution for hyperparameter optimization

Super class

comparer::par_hype -> par_unif

Public fields

name

Name of the parameter, must match the input to 'eval_func'.

lower

Lower bound of the parameter

upper

Upper bound of the parameter

ggtrans

Transformation for ggplot, see ggplot2::scale_x_continuous()

Methods

Public methods

• R6_par_unif$fromraw()

• R6_par_unif$toraw()

• R6_par_unif$generate()

• R6_par_unif$isvalid()

• R6_par_unif$convert_to_mopar()

• R6_par_unif$new()

• R6_par_unif$print()

• R6_par_unif$clone()

Inherited methods

• comparer::par_hype$getseq()

Method fromraw()

Function to convert from raw scale to transformed scale

Usage

R6_par_unif$fromraw(x)

Arguments

x

Value of raw scale

Method toraw()

Function to convert from transformed scale to raw scale

Usage

R6_par_unif$toraw(x)

Arguments

x

Value of transformed scale

Method generate()

Generate values in the raw space based on quantiles.

Usage

R6_par_unif$generate(q)

Arguments

q

In [0,1].

Method isvalid()

Check if input is valid for parameter

Usage

R6_par_unif$isvalid(x)

Arguments

x

Parameter value

Method convert_to_mopar()

Convert this to a parameter for the mixopt R package.

Usage

R6_par_unif$convert_to_mopar(raw_scale = FALSE)

Arguments

raw_scale

Should it be on the raw scale?

Method new()

Create a hyperparameter with uniform distribution

Usage

R6_par_unif$new(name, lower, upper)

Arguments

name

Name of the parameter, must match the input to 'eval_func'.

lower

Lower bound of the parameter

upper

Upper bound of the parameter

Method print()

Print details of the object.

Usage

R6_par_unif$print(...)

Arguments

...

not used,

Method clone()

The objects of this class are cloneable with this method.

Usage

R6_par_unif$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.