Provides tools for describing parameters of algorithms in an abstract way. Description can include an id, a description, a domain (range or list of values), and a default value. 'dynparam' can also convert parameter sets to a 'ParamHelpers' format, in order to be able to use 'dynparam' in conjunction with 'mlrMBO'.
Create a new parameter_set() by adding several parameters to it
as_paramhelper(): Convert it to a ParamHelpers object
sip(): Sample a parameter set
These functions help you provide a meta description of parameters.
Implemented are the following functions:
character_parameter(), integer_parameter(), logical_parameter(), numeric_parameter(): Creating parameters with basic R data types.
integer_range_parameter(), numeric_range_parameter(): Create a discrete or continuous range parameter.
subset_parameter(): A parameter containing a subset of a set of values.
See ?parameter for a list of helper functions converting parameters from and to other formats.
These distributions allow to define prior distributions for numeric and integer parameters.
Implemented are the following distributions:
See ?distribution for a list of helper functions converting parameters from and to other formats.
distribution(): Creating a custom distribution