Package 'param6'

Title: A Fast and Lightweight R6 Parameter Interface
Description: By making use of 'set6', alongside the S3 and R6 paradigms, this package provides a fast and lightweight R6 interface for parameters and parameter sets.
Authors: Raphael Sonabend [aut, cre]
Maintainer: Raphael Sonabend <[email protected]>
License: MIT + file LICENSE
Version: 0.2.4
Built: 2024-10-27 04:19:40 UTC
Source: https://github.com/xoopR/param6

Help Index


param6: A Fast and Lightweight R6 Parameter Interface

Description

logo

By making use of 'set6', alongside the S3 and R6 paradigms, this package provides a fast and lightweight R6 interface for parameters and parameter sets.

Author(s)

Maintainer: Raphael Sonabend [email protected] (ORCID)

See Also

Useful links:


Extract a sub-ParameterSet by Parameters

Description

Creates a new ParameterSet by extracting the given parameters. S3 method for the ⁠$extract⁠ public method.

Usage

## S3 method for class 'ParameterSet'
object[...]

Arguments

object

(ParameterSet)

...

(ANY)
Passed to ParameterSet$extract


Coerce a ParameterSet to a data.table

Description

Coercion from ParameterSet to data.table::data.table. Dependencies, transformations, and tag properties are all lost in coercion.

Usage

## S3 method for class 'ParameterSet'
as.data.table(x, sort = TRUE, ...)

Arguments

x

(ParameterSet)

sort

(logical(1))
If TRUE(default) sorts the ParameterSet alphabetically by id.

...

(ANY)
Other arguments, currently unused.


Coercions to ParameterSet

Description

Coercions to ParameterSet

Usage

as.ParameterSet(x, ...)

## S3 method for class 'data.table'
as.ParameterSet(x, ...)

## S3 method for class 'prm'
as.ParameterSet(x, ...)

## S3 method for class 'list'
as.ParameterSet(x, ...)

Arguments

x

(ANY)
Object to coerce.

...

(ANY)
Other arguments passed to ParameterSet, such as tag_properties.


Coercion Methods to prm

Description

Methods for coercing various objects to a prm.

Usage

as.prm(x, ...)

## S3 method for class 'ParameterSet'
as.prm(x, ...)

## S3 method for class 'data.table'
as.prm(x, ...)

Arguments

x

(ANY)
Object to coerce.

...

(ANY)
Other arguments, currently unused.


Concatenate Unique ParameterSet Objects

Description

Concatenate multiple ParameterSet objects with unique ids and tags into a single ParameterSet.

Usage

## S3 method for class 'ParameterSet'
c(..., pss = list(...))

Arguments

...

(ParameterSets)
ParameterSet objects to concatenate.

pss

(list())
Alternatively pass a list of ParameterSet objects.

Details

Concatenates ids, tags, tag properties and dependencies. Assumes ids and tags are unique; trafos are combined into a list.


Create a ParameterSet Condition

Description

Function to create a condition for ParameterSet dependencies for use in the ⁠$deps⁠ public method.

Usage

cnd(type, value = NULL, id = NULL, error = NULL)

Arguments

type

(character(1))
The condition type determines the type of dependency to create, options are given in details.

value

(ANY)
If id is NULL then value should be a value in the support of the parameter that the condition is testing, that will be passed to the condition determined by type. Can be left NULL if testing if increasing/decreasing.

id

(character(1))
If value is NULL then id should be the same as the id that the condition is testing, and the condition then takes the currently set value of the id in its argument. Can be left NULL if testing if increasing/decreasing.

error

(character(1))
Optional error message to be displayed on fail.

Details

This function should never be used outside of creating a condition for a dependency in a ParameterSet. Currently the following conditions are supported based on the type argument, we refer to the parameter depended on as in the independent parameter, and the other as the dependent:

  • "eq" - If value is not NULL then checks if the independent parameter equals value, otherwise checks if the independent and dependent parameter are equal.

  • "neq" - If value is not NULL then checks if the independent parameter does not equal value, otherwise checks if the independent and dependent parameter are not equal.

  • "gt"/"lt" - If value is not NULL then checks if the independent parameter is greater/less than value, otherwise checks if the independent parameter is greater/less than the dependent parameter.

  • "geq"/"leq" - If value is not NULL then checks if the independent parameter is greater/less than or equal to value, otherwise checks if the independent parameter is greater/less than or equal to the dependent parameter.

  • "any" - If value is not NULL then checks if the independent parameter equals any of value, otherwise checks if the independent parameter equals any of dependent parameter.

  • "nany" - If value is not NULL then checks if the independent parameter does not equal any of value, otherwise checks if the independent parameter does not equal any of dependent parameter.

  • "len" - If value is not NULL then checks if the length of the independent parameter equals value, otherwise checks if the independent and dependent parameter are the same length.

  • "inc" - Checks if the parameter is increasing.

  • "sinc" - Checks if the parameter is strictly increasing.

  • "dec" - Checks if the parameter is decreasing.

  • "sdec" - Checks if the parameter is strictly decreasing.


Concatenate ParameterSet Objects

Description

Concatenate multiple ParameterSet objects into a single ParameterSet.

Usage

cpset(..., pss = list(...), clone = TRUE)

Arguments

...

(ParameterSets)
Named ParameterSet objects to concatenate.

pss

(⁠named list()⁠)
Alternatively pass a named list of ParameterSet objects.

clone

(logical(1))
If TRUE (default) parameter sets are deep cloned before combination, useful to prevent original sets being prefixed.

Details

Concatenates ids, tags, tag properties and dependencies, but not transformations.


Check if two parameters are equal

Description

Primarily for internal use

Usage

expect_equal_ps(obj, expected)

Arguments

obj, expected

ParameterSet


Length of a ParameterSet

Description

Gets the number of parameters in the ParameterSet.

Usage

## S3 method for class 'ParameterSet'
length(x)

Arguments

x

(ParameterSet)


Parameter Set

Description

ParameterSet objects store parameters (prm objects) and add internal validation checks and methods for:

  • Getting and setting parameter values

  • Transforming parameter values

  • Providing dependencies of parameters on each other

  • Tagging parameters, which may enable further properties

  • Storing subsets of parameters under prefixes

Active bindings

tags

None -> named_list()
Get tags from the parameter set.

ids

None -> character()
Get ids from the parameter set.

length

None -> integer(1)
Get the length of the parameter set as the number of parameters.

deps

None -> data.table::data.table Get parameter dependencies, NULL if none.

supports

None -> named_list()
Get supports from the parameter set.

tag_properties

list() -> self / None -> list()
If x is missing then returns tag properties if any.
If x is not missing then used to tag properties. Currently properties can either be:
i) 'required' - parameters with this tag must have set (non-NULL) values; if a parameter is both 'required' and 'linked' then exactly one parameter in the 'linked' tag must be tagged;
ii) 'linked' - parameters with 'linked' tags are dependent on one another and only one can be set (non-NULL at a time);
iii) 'unique' - parameters with this tag must have no duplicated elements, therefore this tag only makes sense for vector parameters;
iv) 'immutable' - parameters with this tag cannot be updated after construction.

values

list() -> self / None -> list()
If x is missing then returns the set (non-NULL) values without transformation or filtering; use ⁠$get_values⁠ for a more sophisticated getter of values.
If x is not missing then used to set values of parameters, which are first checked internally with the ⁠$check⁠ method before setting the new values.
See examples at end.

trafo

⁠function()|list() -> self⁠ / None -> ⁠function()|list()⁠
If x is missing then returns a transformation function if previously set, a list of transformation functions, otherwise NULL.
If x is not missing then it should either be:

  • a function with arguments x and self, which internally correspond to self being the ParameterSet the transformation is being added to, and x <- self$values.

  • a list of functions like above

The transformation function is automatically called after a call to self$get_values() and is used to transform set values, it should therefore result in a list. If using self$get_values() within the transformation function, make sure to set transform = FALSE to prevent infinite recursion, see examples at end.

It is generally safer to call the transformation with ⁠$transform(self$values)⁠ as this will first check to see if ⁠$trafo⁠ is a function or list. If the latter then each function in the list is applied, one after the other.

Methods

Public methods


Method new()

Constructs a ParameterSet object.

Usage
ParameterSet$new(prms = list(), tag_properties = NULL)
Arguments
prms

(list())
List of prm objects. Ids should be unique.

tag_properties

(list())
List of tag properties. Currently supported properties are: i) 'required' - parameters with this tag property must be non-NULL; ii) 'linked' - only one parameter in a linked tag group can be non-NULL and the others should be NULL, this only makes sense with an associated trafo; iii) 'unique' - parameters with this tag must have no duplicated elements, only makes sense for vector parameters; iv) 'immutable' - parameters with this tag cannot be updated after construction.

Examples
prms <- list(
 prm("a", Set$new(1), 1, tags = "t1"),
 prm("b", "reals", 1.5, tags = "t1"),
 prm("d", "reals", 2, tags = "t2")
)
ParameterSet$new(prms)

Method print()

Prints the ParameterSet after coercion with as.data.table.ParameterSet.

Usage
ParameterSet$print(sort = TRUE)
Arguments
sort

(logical(1))
If TRUE (default) sorts the ParameterSet alphabetically by id.

Examples
prms <- list(
 prm("a", Set$new(1), 1, tags = "t1"),
 prm("b", "reals", 1.5, tags = "t1"),
 prm("d", "reals", 2, tags = "t2")
)
p <- ParameterSet$new(prms)
p$print()
print(p)
p

Method get_values()

Gets values from the ParameterSet with options to filter by specific IDs and tags, and also to transform the values.

Usage
ParameterSet$get_values(
  id = NULL,
  tags = NULL,
  transform = TRUE,
  inc_null = TRUE,
  simplify = TRUE
)
Arguments
id

(character())
If not NULL then returns values for given ids.

tags

(character())
If not NULL then returns values for given tags.

transform

(logical(1))
If TRUE (default) and ⁠$trafo⁠ is not NULL then runs the set transformation function before returning the values.

inc_null

(logical(1))
If TRUE (default) then returns values for all ids even if NULL.

simplify

(logical(1))
If TRUE (default) then unlists scalar values, otherwise always returns a list.

Examples
prms <- list(
 prm("a", "reals", 1, tags = "t1"),
 prm("b", "reals", 1.5, tags = "t1"),
 prm("d", "reals", tags = "t2")
)
p <- ParameterSet$new(prms)
p$trafo <- function(x, self) {
 x$a <- exp(x$a)
 x
}
p$get_values()
p$get_values(inc_null = FALSE)
p$get_values(id = "a")
p$get_values(tags = "t1")

Method add_dep()

Gets values from the ParameterSet with options to filter by specific IDs and tags, and also to transform the values.

Usage
ParameterSet$add_dep(id, on, cnd)
Arguments
id

(character(1))
The dependent variable for the condition that depends on the given variable, on, being a particular value. Should be in self$ids.

on

(character(1))
The independent variable for the condition that is depended on by the given variable, id. Should be in self$ids.

cnd

(cnd(1))
The condition defined by cnd which determines how id depends on on.

Examples
# not run as errors
\dontrun{
# Dependency on specific value
prms <- list(
 prm("a", "reals", NULL),
 prm("b", "reals", 1)
)
p <- ParameterSet$new(prms)
p$add_dep("a", "b", cnd("eq", 2))
# 'a' can only be set if 'b' equals 2
p$values$a <- 1
p$values <- list(a = 1, b = 2)

# Dependency on variable value
prms <- list(
 prm("a", "reals", NULL),
 prm("b", "reals", 1)
)
p <- ParameterSet$new(prms)
p$add_dep("a", "b", cnd("eq", id = "b"))
# 'a' can only be set if it equals 'b'
p$values$a <- 2
p$values <- list(a = 2, b = 2)
}

Method rep()

Replicate the ParameterSet with identical parameters. In order to avoid duplicated parameter ids, every id in the ParameterSet is given a prefix in the format prefix__id. In addition, linked tags are also given the same prefix to prevent incorrectly linking parameters.

The primary use-case of this method is to treat the ParameterSet as a collection of identical ParameterSet objects.

Note that this mutates the ParameterSet, if you want to instead create a new object then use rep.ParameterSet instead (or copy and deep clone) first.

Usage
ParameterSet$rep(times, prefix)
Arguments
times

(integer(1))
Numer of times to replicate the ParameterSet.

prefix

(character(1)|character(length(times)))
The prefix to add to ids and linked tags. If length 1 then is internally coerced to paste0(prefix, seq(times)), otherwise the length should be equal to times.


Method extract()

Creates a new ParameterSet by extracting the given parameters.

Usage
ParameterSet$extract(id = NULL, tags = NULL, prefix = NULL)
Arguments
id

(character())
If not NULL then specifies the parameters by id to extract. Should be NULL if prefix is not NULL.

tags

(character())
If not NULL then specifies the parameters by tag to extract. Should be NULL if prefix is not NULL.

prefix

(character())
If not NULL then extracts parameters according to their prefix and additionally removes the prefix from the id. A prefix is determined as the string before "__" in an id.

Examples
# extract by id
prms <- list(
 prm("a", "reals", NULL),
 prm("b", "reals", 1)
)
p <- ParameterSet$new(prms)
p$extract("a")
# equivalently
p["a"]

# extract by prefix
prms <- list(
  prm("Pre1__par1", Set$new(1), 1, tags = "t1"),
  prm("Pre1__par2", "reals", 3, tags = "t2"),
  prm("Pre2__par1", Set$new(1), 1, tags = "t1"),
  prm("Pre2__par2", "reals", 3, tags = "t2")
)
p <- ParameterSet$new(prms)
p$extract(tags = "t1")
p$extract(prefix = "Pre1")
# equivalently
p[prefix = "Pre1"]

Method remove()

Removes the given parameters from the set.

Usage
ParameterSet$remove(id = NULL, prefix = NULL)
Arguments
id

(character())
If not NULL then specifies the parameters by id to extract. Should be NULL if prefix is not NULL.

prefix

(character())
If not NULL then extracts parameters according to their prefix and additionally removes the prefix from the id. A prefix is determined as the string before "__" in an id.


Method getParameterValue()

Deprecated method added for distr6 compatibility. Use $values/$get_values() in the future. Will be removed in 0.3.0.

Usage
ParameterSet$getParameterValue(id, ...)
Arguments
id

Parameter id

...

Unused


Method setParameterValue()

Deprecated method added for distr6 compatibility. Use $set_values in the future. Will be removed in 0.3.0.

Usage
ParameterSet$setParameterValue(..., lst = list(...))
Arguments
...

Parameter ids

lst

List of parameter ids


Method set_values()

Convenience function for setting multiple parameters without changing or accidentally removing others.

Usage
ParameterSet$set_values(..., lst = list(...))
Arguments
...

Parameter ids

lst

List of parameter ids


Method parameters()

Deprecated method added for distr6 compatibility. Use $print/as.data.table() in the future. Will be removed in 0.3.0.

Usage
ParameterSet$parameters(...)
Arguments
...

Unused


Method transform()

Applies the internal transformation function. If no function has been passed to ⁠$trafo⁠ then x is returned unchanged. If ⁠$trafo⁠ is a function then x is passed directly to this. If ⁠$trafo⁠ is a list then x is evaluated and passed down the list iteratively.

Usage
ParameterSet$transform(x = self$values)
Arguments
x

(⁠named list(1)⁠)
List of values to transform.

Returns

⁠named list(1)⁠


Method clone()

The objects of this class are cloneable with this method.

Usage
ParameterSet$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

Examples

library(set6)

## $value examples
p <- ParameterSet$new(list(prm(id = "a", support = Reals$new())))
p$values$a <- 2
p$values

## $trafo examples
p <- ParameterSet$new(list(prm(id = "a", 2, support = Reals$new())))
p$trafo

# simple transformation
p$get_values()
p$trafo <- function(x, self) {
 x$a <- exp(x$a)
 x
}
p$get_values()

# more complex transformation on tags
p <- ParameterSet$new(
  list(prm(id = "a", 2, support = Reals$new(), tags = "t1"),
       prm(id = "b", 3, support = Reals$new(), tags = "t1"),
       prm(id = "d", 4, support = Reals$new()))
)
# make sure `transform = FALSE` to prevent infinite recursion
p$trafo <- function(x, self) {
 out <- lapply(self$get_values(tags = "t1", transform = FALSE),
               function(.x) 2^.x)
 out <- c(out, list(d = x$d))
 out
}
p$get_values()


## ------------------------------------------------
## Method `ParameterSet$new`
## ------------------------------------------------

prms <- list(
 prm("a", Set$new(1), 1, tags = "t1"),
 prm("b", "reals", 1.5, tags = "t1"),
 prm("d", "reals", 2, tags = "t2")
)
ParameterSet$new(prms)

## ------------------------------------------------
## Method `ParameterSet$print`
## ------------------------------------------------

prms <- list(
 prm("a", Set$new(1), 1, tags = "t1"),
 prm("b", "reals", 1.5, tags = "t1"),
 prm("d", "reals", 2, tags = "t2")
)
p <- ParameterSet$new(prms)
p$print()
print(p)
p

## ------------------------------------------------
## Method `ParameterSet$get_values`
## ------------------------------------------------

prms <- list(
 prm("a", "reals", 1, tags = "t1"),
 prm("b", "reals", 1.5, tags = "t1"),
 prm("d", "reals", tags = "t2")
)
p <- ParameterSet$new(prms)
p$trafo <- function(x, self) {
 x$a <- exp(x$a)
 x
}
p$get_values()
p$get_values(inc_null = FALSE)
p$get_values(id = "a")
p$get_values(tags = "t1")

## ------------------------------------------------
## Method `ParameterSet$add_dep`
## ------------------------------------------------

# not run as errors
## Not run: 
# Dependency on specific value
prms <- list(
 prm("a", "reals", NULL),
 prm("b", "reals", 1)
)
p <- ParameterSet$new(prms)
p$add_dep("a", "b", cnd("eq", 2))
# 'a' can only be set if 'b' equals 2
p$values$a <- 1
p$values <- list(a = 1, b = 2)

# Dependency on variable value
prms <- list(
 prm("a", "reals", NULL),
 prm("b", "reals", 1)
)
p <- ParameterSet$new(prms)
p$add_dep("a", "b", cnd("eq", id = "b"))
# 'a' can only be set if it equals 'b'
p$values$a <- 2
p$values <- list(a = 2, b = 2)

## End(Not run)

## ------------------------------------------------
## Method `ParameterSet$extract`
## ------------------------------------------------

# extract by id
prms <- list(
 prm("a", "reals", NULL),
 prm("b", "reals", 1)
)
p <- ParameterSet$new(prms)
p$extract("a")
# equivalently
p["a"]

# extract by prefix
prms <- list(
  prm("Pre1__par1", Set$new(1), 1, tags = "t1"),
  prm("Pre1__par2", "reals", 3, tags = "t2"),
  prm("Pre2__par1", Set$new(1), 1, tags = "t1"),
  prm("Pre2__par2", "reals", 3, tags = "t2")
)
p <- ParameterSet$new(prms)
p$extract(tags = "t1")
p$extract(prefix = "Pre1")
# equivalently
p[prefix = "Pre1"]

S3 Parameter Constructor

Description

The prm class is required for ParameterSet objects, it allows specifying a parameter as a named set and optionally setting values and tags.

Usage

prm(id, support, value = NULL, tags = NULL, .check = TRUE)

Arguments

id

(character(1))
Parameter identifier.

support

⁠([set6::Set]|character(1))⁠
Either a set object from set6 or a character representing the set if it is already present in the support_dictionary. If a set6::Set is provided then the set and its string representation are added automatically to support_dictionary in order to provide fast internal checks. Common sets (such as the reals, naturals, etc.) are already provided in support_dictionary.

value

ANY
Optional to assign the parameter, will internally be checked that it lies within the given support.

tags

(character())
An optional character vector of tags to apply to the parameter. On their own tags offer little extra benefit, however they can be assigned properties when creating ParameterSet objects that enable them to be more powerful.

.check

For internal use only.

Examples

library(set6)

# Constructing a prm with a Set support
prm(
 id = "a",
 support = Reals$new(),
 value = 1
)

# Constructing a prm with a support already in the dictionary
prm(
 id = "a",
 support = "reals",
 value = 1
)

# Adding tags
prm(
 id = "a",
 support = "reals",
 value = 1,
 tags = c("tag1", "tag2")
)

Convenience Function for Constructing a ParameterSet

Description

See ParameterSet for full details.

Usage

pset(..., prms = list(...), tag_properties = NULL, deps = NULL, trafo = NULL)

Arguments

...

(prm)
prm objects.

prms

(list())
List of prm objects.

tag_properties

(list())
List of tag properties. Currently supported properties are: i) 'required' - parameters with this tag property must be non-NULL; ii) 'linked' - only one parameter in a linked tag group can be non-NULL and the others should be NULL, this only makes sense with an associated trafo; iii) 'unique' - parameters with this tag must have no duplicated elements, only makes sense for vector parameters; iv) 'immutable' - parameters with this tag cannot be updated after construction.

deps

(list())
List of lists where each element is passed to ⁠$add_dep⁠. See examples.

trafo

(⁠function()⁠)
Passed to ⁠$trafo⁠. See examples.

Examples

library(set6)

# simple example
prms <- list(
 prm("a", Set$new(1), 1, tags = "t1"),
 prm("b", "reals", 1.5, tags = "t1"),
 prm("d", "reals", 2, tags = "t2")
)
p <- pset(prms = prms)

# with properties, deps, trafo
p <- pset(
 prm("a", Set$new(1), 1, tags = "t1"),
 prm("b", "reals", 1.5, tags = "t1"),
 prm("d", "reals", 2, tags = "t2"),
 tag_properties = list(required = "t2"),
 deps = list(
   list(id = "a", on = "b", cond = cnd("eq", 1.5))
 ),
 trafo = function(x, self) return(x)
)

Replicate a ParameterSet

Description

In contrast to the ⁠$rep⁠ method in ParameterSet, this method deep clones the ParameterSet and returns a new object.

Usage

## S3 method for class 'ParameterSet'
rep(x, times, prefix, ...)

Arguments

x

(ParameterSet)

times

(integer(1))
Numer of times to replicate the ParameterSet.

prefix

(character(1)|character(length(times)))
The prefix to add to ids and linked tags. If length 1 then is internally coerced to paste0(prefix, seq(times)), otherwise the length should be equal to times.

...

(ANY)
Other arguments, currently unused.

Details

In order to avoid duplicated parameter ids, every id in the ParameterSet is given a prefix in the format prefix__id. In addition, linked tags are also given the same prefix to prevent incorrectly linking parameters.

The primary use-case of this method is to treat the ParameterSet as a collection of identical ParameterSet objects.


Support Dictionary

Description

dictionar6::Dictionary for parameter supports

Details

See dictionar6::Dictionary for full details of how to add other set6::Set objects as supports to this dictionary.

Examples

support_dictionary$keys
support_dictionary$items