Experiment Object

/experiments/EXPERIMENT_ID

An experiment represents an objective that SigOpt is optimizing, the relevant parameters, and the underlying data.

Fields

Key	Type	Value
`client`	`string`	The `id` of the Client who created this experiment.
`conditionals`	`array<Conditional>`	See conditionals.
`created`	`int`	The timestamp (in seconds since epoch) that this experiment was created.
`id`	`string`	A unique ID for this experiment.
`linear_constraints`	`array<Constraint>`	See constraints.
`metadata`	`Metadata`	Optional user-provided object. See Using Metadata for more information.
`metrics`	`array<Metric>`	An array of Metric objects to be simultaneously optimized. Use only a single entry for the standard single criterion optimization problem. This array can have no more than 2 entries.
`name`	`string`	A user-specified name for this experiment.
`num_solutions`	`int`	The number of solutions you want for your experiment. The default number of solutions is 1. You can have up to 3 solutions. An observation budget is required if the number of solutions is greater than 1.
`observation_budget`	`int`	The number of Observations you plan to create for this experiment. We recommend this value be between 10x and 20x the number of parameters. This can be thought of as a lower bound on the number of observations you will create. Failing to reach this value may result in suboptimal performance for your experiment.
`parallel_bandwidth`	`int`	The number of simultaneously open Suggestions you plan to maintain during this experiment. The default value for this is 1, i.e., a sequential experiment. The maximum value for this is dependent on your plan. This field is optional, but setting it correctly may improve performance.
`parameters`	`array<Parameter>`	An array of Parameter objects.
`progress`	`Progress`	The current progress of this experiment.
`project`	`string`	The `id` of the project that this experiment belongs to.
`state`	`string`	The state of this experiment. Can be `active` (for experiments that are currently running), or `deleted` (for experiments that have been deleted).
`type`	`string`	A type for this experiment. Used for experimental and alpha features only.
`updated`	`int`	The timestamp (in seconds since epoch) that this experiment was last updated.
`user`	`string`	The `id` of the user who created this experiment.

Deprecated Fields

These fields should no longer be used because there are better alternatives.

Key	Type	Value
`metric`	`Metric`	Information about the Metric that this experiment is optimizing.

Supported Endpoints

Method	URI	Description
`POST`	/experiments	Experiment Create
`GET`	/experiments/EXPERIMENT_ID	Experiment Detail
`GET`	/experiments	Experiment List
`GET`	/experiments/EXPERIMENT_ID/best_assignments	Experiment Best Assignments
`GET`	/experiments/EXPERIMENT_ID/metric_importances	Experiment Metric Importances
`GET`	/experiments/EXPERIMENT_ID/stopping_criteria	Experiment Stopping Criteria
`PUT`	/experiments/EXPERIMENT_ID	Experiment Update
`DELETE`	/experiments/EXPERIMENT_ID	Experiment Delete

Example

{
  "client": "1",
  "created": 1568315564,
  "development": false,
  "id": "1",
  "metadata": null,
  "metric": {
    "name": "Accuracy",
    "object": "metric",
    "objective": "maximize",
    "strategy": "optimize",
    "threshold": null
  },
  "metrics": [
    {
      "name": "Accuracy",
      "object": "metric",
      "objective": "maximize",
      "strategy": "optimize",
      "threshold": null
    }
  ],
  "name": "Support Vector Classifier Accuracy",
  "num_solutions": null,
  "object": "experiment",
  "observation_budget": 60,
  "parallel_bandwidth": null,
  "parameters": [
    {
      "bounds": {
        "max": 5,
        "min": 1,
        "object": "bounds"
      },
      "categorical_values": null,
      "conditions": {},
      "default_value": null,
      "name": "degree",
      "object": "parameter",
      "precision": null,
      "tunable": true,
      "type": "int"
    },
    {
      "bounds": {
        "max": 1,
        "min": 0.001,
        "object": "bounds"
      },
      "categorical_values": null,
      "conditions": {},
      "default_value": null,
      "name": "gamma",
      "object": "parameter",
      "precision": null,
      "tunable": true,
      "type": "double"
    },
    {
      "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,
      "tunable": true,
      "type": "categorical"
    }
  ],
  "progress": {
    "best_observation": null,
    "first_observation": null,
    "last_observation": null,
    "object": "progress",
    "observation_budget_consumed": 0,
    "observation_count": 0
  },
  "project": "classification-models",
  "state": "active",
  "type": "offline",
  "updated": 1568315564,
  "user": null
}