crps

Evaluate an empirical continuous predictive distribution in the outcome’s units.

Contract

Samples must be nonempty and finite. Sorting gives O(n log n) computation instead of a quadratic pairwise matrix. Repeated sample values are allowed.

Fields

This operation needs no existing question or forecast. Use --memory for a calculation-only session.

Request

Send this object on one line. It is expanded below for readability.

{
  "version": 1,
  "id": "example",
  "command": {
    "op": "crps",
    "samples": [
      1.0,
      2.0,
      3.0
    ],
    "outcome": 2.0
  }
}

Response

This response is generated by executing the example against the current binary. Commit timestamps, when present, are shown as <runtime UTC seconds>; the actual protocol returns integer UTC seconds.

{
  "version": 1,
  "id": "example",
  "result": {
    "empirical_crps": 0.2222222222222222
  }
}

Verification

The documentation gate executes the setup and request, then checks the following result fields against independently specified expectations:

Float comparisons use a 1e-12 tolerance. Request schema validation and cross-record validation still apply. See errors and recovery for failure handling.