Parameter selection

The ParameterSelection field in a study specifies which parameters of the system should be tuned while running the optimization study.

In case this selection is not specified, all parameters are considered.

A parameter selection can either assume the value of all to indicate that all the available parameters of the system of the study should be tuned, or can assume the value of a list with items of the shape like the one below:

Field	Type	Value restriction	Is required	Description
name	string	should match the following syntax: component_name.parameter_name where component_name is an existing component, where parameter_name is an existing parameter that is associated with the component-type of the component component_name	TRUE	The name of the parameter to be tuned including the name of the component it refers to
domain	array of numbers	should be of size 2, contain either all integers or real numbers(do not omit the "."), be set only if the parameter has a domain of type integer or real,and be compatible with the domain defined in the component-type the component_name refers to	FALSE	A custom domain for the parameter to be used only for the study
categories	array of string	should be set only if the parameter has a domain of type categorical, and be compatible with the domain defined in the component-type the component_name refers to.	FALSE	A custom set of categories for the parameter to be used only for the study.

Notice that, by default, every parameter specified in the parameters selection of a study is applied. This can be modified, by leveraging the Parameter rendering options.

Example

The following fragment is an example:

parametersSelection:
  - name: jvm.jvm_gcType
  - name: jvm.jvm_maxG1NewSizePercent
    domain: [10, 90]
  - name: webserver.aws_ec2_instance_size
    categories: ["large", "x.large", "2x.large"]