R6_par_discretenum: R6 object for discrete numeric

In comparer: Compare Output and Run Time

R6 object for discrete numeric

Description

R6 object for discrete numeric

R6 object for discrete numeric

Details

Parameter with uniform distribution for hyperparameter optimization

Super class

comparer::par_hype -> par_discretenum

Public fields

name

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

values

Values, discrete numeric

ggtrans

Transformation for ggplot, see ggplot2::scale_x_continuous()

Methods

Public methods

• R6_par_discretenum$fromraw()

• R6_par_discretenum$toraw()

• R6_par_discretenum$generate()

• R6_par_discretenum$getseq()

• R6_par_discretenum$isvalid()

• R6_par_discretenum$convert_to_mopar()

• R6_par_discretenum$new()

• R6_par_discretenum$print()

• R6_par_discretenum$clone()

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Method fromraw()

Function to convert from raw scale to transformed scale

Usage

R6_par_discretenum$fromraw(x)

Arguments

x

Value of raw scale

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Method toraw()

Function to convert from transformed scale to raw scale

Usage

R6_par_discretenum$toraw(x)

Arguments

x

Value of transformed scale

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Method generate()

Generate values in the raw space based on quantiles.

Usage

R6_par_discretenum$generate(q)

Arguments

q

In [0,1].

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Method getseq()

Get a sequence, uniform on the transformed scale

Usage

R6_par_discretenum$getseq(n)

Arguments

n

Number of points. Ignored for discrete.

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Method isvalid()

Check if input is valid for parameter

Usage

R6_par_discretenum$isvalid(x)

Arguments

x

Parameter value

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Method convert_to_mopar()

Convert this to a parameter for the mixopt R package.

Usage

R6_par_discretenum$convert_to_mopar(raw_scale = FALSE)

Arguments

raw_scale

Should it be on the raw scale?

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Method new()

Create a hyperparameter with uniform distribution

Usage

R6_par_discretenum$new(name, values)

Arguments

name

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

values

Numeric values, must be in ascending order

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Method print()

Print details of the object.

Usage

R6_par_discretenum$print(...)

Arguments

...

not used

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Method clone()

The objects of this class are cloneable with this method.

Usage

R6_par_discretenum$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

p1 <- R6_par_discretenum$new('x1', 0:2)
class(p1)
print(p1)

comparer documentation built on Oct. 7, 2024, 1:23 a.m.