R6_par_ordered {comparer}R Documentation

R6 class for hyperparameter of discrete (factor) variable

Description

R6 class for hyperparameter of discrete (factor) variable

R6 class for hyperparameter of discrete (factor) variable

Super class

comparer::par_hype -> par_ordered

Public fields

name

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

values

Vector of values

ggtrans

Transformation for ggplot, see ggplot2::scale_x_continuous()

lower

Lower bound of the parameter

upper

Upper bound of the parameter

Methods

Public methods

Method fromraw()

Function to convert from raw scale to transformed scale

Usage
R6_par_ordered$fromraw(x)
Arguments
x

Value of raw scale

Method toraw()

Function to convert from transformed scale to raw scale

Usage
R6_par_ordered$toraw(x)
Arguments
x

Value of transformed scale

Method fromint()

Convert from integer index to actual value

Usage
R6_par_ordered$fromint(x)
Arguments
x

Integer index

Method toint()

Convert from value to integer index

Usage
R6_par_ordered$toint(x)
Arguments
x

Value

Method generate()

Generate values in the raw space based on quantiles.

Usage
R6_par_ordered$generate(q)
Arguments
q

In [0,1].

Method getseq()

Get a sequence, uniform on the transformed scale

Usage
R6_par_ordered$getseq(n)
Arguments
n

Number of points. Ignored for discrete.

Method isvalid()

Check if input is valid for parameter

Usage
R6_par_ordered$isvalid(x)
Arguments
x

Parameter value

Method convert_to_mopar()

Convert this to a parameter for the mixopt R package.

Usage
R6_par_ordered$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_ordered$new(name, values)
Arguments
name

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

values

The values the variable can take on.

Method print()

Print details of the object.

Usage
R6_par_ordered$print(...)
Arguments
...

not used

Method clone()

The objects of this class are cloneable with this method.

Usage
R6_par_ordered$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

Examples

p1 <- par_ordered('x1', c('a', 'b', 'c'))
class(p1)
print(p1)
[Package comparer version 0.2.3 Index]