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ParamHelpers (version 1.3)

LearnerParam: Create a description object for a parameter of a machine learning algorithm.

Description

This specializes Param by adding a few more attributes, like a default value, whether it refers to a training or a predict function, etc.

Usage

makeNumericLearnerParam(id, lower = -Inf, upper = Inf, default,
  when = "train", requires = NULL)
makeNumericVectorLearnerParam(id, len = as.integer(NA), lower = -Inf,
  upper = Inf, default, when = "train", requires = NULL)
makeIntegerLearnerParam(id, lower = -Inf, upper = Inf, default,
  when = "train", requires = NULL)
makeIntegerVectorLearnerParam(id, len = as.integer(NA), lower = -Inf,
  upper = Inf, default, when = "train", requires = NULL)
makeDiscreteLearnerParam(id, values, default, when = "train",
  requires = NULL)
makeDiscreteVectorLearnerParam(id, len = as.integer(NA), values, default,
  when = "train", requires = NULL)
makeLogicalLearnerParam(id, default, when = "train", requires = NULL)
makeLogicalVectorLearnerParam(id, len = as.integer(NA), default,
  when = "train", requires = NULL)
makeUntypedLearnerParam(id, default, when = "train", requires = NULL)
makeFunctionLearnerParam(id, default, when = "train", requires = NULL)

Arguments

id
[character(1)] See Param.
len
[integer(1)] See Param.
lower
[numeric] See Param.
upper
[numeric] See Param.
values
[vector | list] See Param.
requires
[NULL | R expression] See Param.
default
[any] See Param.
when
[character(1)] Specifies when parameter is used in the learner: train, predict or both. Default is train.

Value

Details

The S3 class is a Param which additionally stores these elements: [object Object],[object Object],[object Object]