Result Schema

Results represent individual objective satisfaction checks in the optimization process.

Schema

{
    "id": 123,
    "created_at": "2025-01-31T10:00:00.000Z",
    "updated_at": "2025-01-31T10:00:00.000Z", 
    "disabled_at": null,
    "number": 0,
    "objective": 1.0,
    "objective_type": "exact",
    "minimum_bound": 0.0,
    "maximum_bound": 0.0,
    "output": 0.98,
    "error": 0.02,
    "detail": "Error explanation",
    "satisfied": true
}

Fields

Field	Type	Required	Description
id	integer	Yes	Unique identifier
created_at	string	Yes	Creation timestamp
updated_at	string	Yes	Last update timestamp
disabled_at	string	No	Disable timestamp
number	integer	Yes	Objective number (>= 0)
objective	float	Yes	Target objective value
objective_type	string	Yes	Type of objective check
minimum_bound	float	Yes	Lower bound (0.0 for exact)
maximum_bound	float	Yes	Upper bound (0.0 for exact)
output	float	Yes	Actual output value
error	float	Yes	Error from target
detail	string	No	Explanation message
satisfied	boolean	Yes	Whether objective is satisfied

Objective Types

The objective_type field must be one of:

• exact

• percent

• value

• lessthan

• lessthan_equal

• greaterthan

• greaterthan_equal

• minimize

• maximize

Error Calculation

Error values are calculated differently based on objective type:

• exact: Absolute difference from target

• percent: Percentage difference from target

• value: Absolute difference within bounds

• lessthan/greaterthan: Distance to constraint violation

Satisfaction Rules

When an objective is considered satisfied:

1. exact

   • Error less than specified L1 norm

2. percent

   • Error within percentage bounds

3. value

   • Error within absolute bounds

4. lessthan/lessthan_equal

   • Output below/at target

5. greaterthan/greaterthan_equal

   • Output above/at target

6. minimize/maximize

   • Any value (tracks progress)