Parameter Object

A parameter is a variable that can be tracked in association with a Run. In an AI Experiment, SigOpt will suggest values for your parameters in order to optimize the relevant objective. double and int parameters represent numeric values. categorical parameters take on one of a fixed list of values (similar to an enum in many programming languages).

Key	Type	Value
bounds	Bounds	A range of values that a parameter can occupy. Only applicable to parameters of type double or int.
categorical_values	array<Categorical Value>	A list of categorical values. Only applicable for parameters of type categorical.
conditions	Conditions	See conditionals.
default_value	string or number	Used to replace missing parameter assignments in parameters added after initial experiment creation.
grid	array<double>	Only applicable to parameters of type double and int. The discrete numerical values that a parameter can take. When grid is provided, bounds should not be set. Refer to the Grid Values documentation for more information.
name	string	A user-specified name for this parameter.
precision	int	Only applicable to parameters of type double. The number of decimal places considered when optimizing.
prior	Prior	Only applicable to parameters of type double. The prior distribution of the parameter. Refer to the Prior Beliefs documentation for more information.
transformation	string	Only applicable to parameters of type double. The scale of a parameter. Refer to the Parameter transformation documentation for more information.
type	string	The type of this parameter. Must be one of double, int, or categorical.

Examples

Double Parameter

{
  "bounds": {
    "max": 1,
    "min": 0.001,
    "object": "bounds"
  },
  "categorical_values": null,
  "conditions": {},
  "default_value": null,
  "name": "gamma",
  "object": "parameter",
  "precision": null,
  "prior": null,
  "transformation": null,
  "tunable": true,
  "type": "double"
}onth

Integer Parameter

{
  "bounds": {
    "max": 5,
    "min": 1,
    "object": "bounds"
  },
  "categorical_values": null,
  "conditions": {},
  "default_value": null,
  "name": "degree",
  "object": "parameter",
  "precision": null,
  "prior": null,
  "transformation": null,
  "tunable": true,
  "type": "int"
}

Categorical Parameter

{
  "bounds": null,
  "categorical_values": [
    {
      "enum_index": 1,
      "name": "rbf",
      "object": "categorical_value"
    },
    {
      "enum_index": 2,
      "name": "poly",
      "object": "categorical_value"
    },
    {
      "enum_index": 3,
      "name": "sigmoid",
      "object": "categorical_value"
    }
  ],
  "conditions": {},
  "default_value": null,
  "name": "kernel",
  "object": "parameter",
  "precision": null,
  "prior": null,
  "transformation": null,
  "tunable": true,
  "type": "categorical"
}