Observation Update

https://api.sigopt.com/v1/experiments/EXPERIMENT_ID/observations/OBSERVATION_ID
Updates an existing Observation.
Request Method: PUT
Parameters
Name
Type
Required?
Description
assignments
​Assignments​
N
Provide suggestion or assignments. Only provide if you want to manually specify values that the parameters held during this trial.
failed
boolean
N
A boolean indicating whether this observation failed for some reason. SigOpt takes this into consideration when optimizing. It is invalid for both failed to be true, and value to be present. The default value is false.
metadata
​Metadata​
N
Optional user-provided object. See Using Metadata for more information.
suggestion
string
N
Provide suggestion or assignments. The id of the Suggestion you are reporting on.
values
array<Metric Evaluation>
N
An array of Metric Evaluation objects. For experiments with more than one Metric, you must use this instead of value and value_stddev.
Deprecated Parameters
These parameters should no longer be used because there are better alternatives.
Name
Type
Required?
Description
value
float
N
The observed metric value from this trial.
value_stddev
float
N
The standard deviation in value that was observed in this trial.
Response
​Observation object.
Example Request
Python
Bash
Java
observation = conn.experiments(EXPERIMENT_ID).observations(OBSERVATION_ID).update(
  values=[
    dict(
      name="Accuracy",
      value=1,
      value_stddev=0.1
      )
    ]
  )
OBSERVATION=`curl -s -X PUT https://api.sigopt.com/v1/experiments/EXPERIMENT_ID/observations/OBSERVATION_ID -u "$SIGOPT_API_TOKEN": \
  -H 'Content-Type: application/json' \
  -d "{\"values\":[{\"name\":\"Accuracy\",\"value\":1,\"value_stddev\":0.1}]}"`
Observation observation = new Experiment(EXPERIMENT_ID).observations(OBSERVATION_ID).update()
  data(
    new Observation.Builder()
      .suggestion("1")
      .values(java.util.Arrays.asList(
        new Value.Builder()
          .name("Accuracy")
          .value(1)
          .valueStddev(0.1)
          .build()
        ))
      .build()
    )
  .call();
Response
{
  "assignments": {
    "degree": 2,
    "gamma": 3.6,
    "kernel": "rbf"
  },
  "created": 1414800000,
  "experiment": "1",
  "failed": false,
  "id": "4",
  "metadata": null,
  "object": "observation",
  "suggestion": "1",
  "value": 1,
  "value_stddev": 0.1,
  "values": [
    {
      "name": "Accuracy",
      "object": "metric_evaluation",
      "value": 1,
      "value_stddev": 0.1
    }
  ]
}
​

Name	Type	Required?	Description
`assignments`	`Assignments`	N	Provide `suggestion` or `assignments`. Only provide if you want to manually specify values that the parameters held during this trial.
`failed`	`boolean`	N	A boolean indicating whether this observation failed for some reason. SigOpt takes this into consideration when optimizing. It is invalid for both `failed` to be `true`, and `value` to be present. The default value is `false`.
`metadata`	`Metadata`	N	Optional user-provided object. See Using Metadata for more information.
`suggestion`	`string`	N	Provide `suggestion` or `assignments`. The `id` of the Suggestion you are reporting on.
`values`	`array<Metric Evaluation>`	N	An array of Metric Evaluation objects. For experiments with more than one Metric, you must use this instead of `value` and `value_stddev`.

Name	Type	Required?	Description
`value`	`float`	N	The observed metric value from this trial.
`value_stddev`	`float`	N	The standard deviation in `value` that was observed in this trial.

Observation List

Queued Suggestion Create

Last modified 1yr ago