Struct GenaiListModelEvaluationMetricsResponseMetricsItem 

pub struct GenaiListModelEvaluationMetricsResponseMetricsItem {

    pub associated_presets: Vec<Map<String, Value>>,
    pub category: Map<String, Value>,
    pub custom_eval_config: Map<String, Value>,
    pub description: Option<String>,
    pub evaluation_scope: Map<String, Value>,
    pub inverted: Option<bool>,
    pub is_metric_goal: Option<bool>,
    pub metric_name: Option<String>,
    pub metric_rank: Option<i64>,
    pub metric_type: Map<String, Value>,
    pub metric_uuid: Option<String>,
    pub metric_value_type: Map<String, Value>,
    pub range_max: Option<f32>,
    pub range_min: Option<f32>,
    pub source: Map<String, Value>,
}

GenaiListModelEvaluationMetricsResponseMetricsItem

JSON schema

{
 "type": "object",
 "properties": {
   "associated_presets": {
     "description": "Saved model evaluation presets that reference this metric. Populated for\ncustom metrics when listing metrics so the dashboard can warn that deleting\nthe metric will also delete these presets. Empty for built-in metrics.",
     "type": "array",
     "items": {
       "description": "Auto-generated fallback definition for: apiAssociatedModelEvaluationPreset",
       "type": "object",
       "additionalProperties": true
     }
   },
   "category": {
     "description": "Auto-generated fallback definition for: apiEvaluationMetricCategory",
     "type": "object",
     "additionalProperties": true
   },
   "custom_eval_config": {
     "description": "Auto-generated fallback definition for: apiCustomEvaluationMetricConfig",
     "type": "object",
     "additionalProperties": true
   },
   "description": {
     "examples": [
       "example string"
     ],
     "type": "string"
   },
   "evaluation_scope": {
     "description": "Auto-generated fallback definition for: apiEvaluationScope",
     "type": "object",
     "additionalProperties": true
   },
   "inverted": {
     "description": "If true, the metric is inverted, meaning that a lower value is better.",
     "examples": [
       true
     ],
     "type": "boolean"
   },
   "is_metric_goal": {
     "examples": [
       true
     ],
     "type": "boolean"
   },
   "metric_name": {
     "examples": [
       "example name"
     ],
     "type": "string"
   },
   "metric_rank": {
     "examples": [
       123
     ],
     "type": "integer",
     "format": "int64"
   },
   "metric_type": {
     "description": "Auto-generated fallback definition for: apiEvaluationMetricType",
     "type": "object",
     "additionalProperties": true
   },
   "metric_uuid": {
     "examples": [
       "123e4567-e89b-12d3-a456-426614174000"
     ],
     "type": "string"
   },
   "metric_value_type": {
     "description": "Auto-generated fallback definition for: apiEvaluationMetricValueType",
     "type": "object",
     "additionalProperties": true
   },
   "range_max": {
     "description": "The maximum value for the metric.",
     "examples": [
       123
     ],
     "type": "number",
     "format": "float"
   },
   "range_min": {
     "description": "The minimum value for the metric.",
     "examples": [
       123
     ],
     "type": "number",
     "format": "float"
   },
   "source": {
     "description": "Auto-generated fallback definition for: apiEvaluationMetricSource",
     "type": "object",
     "additionalProperties": true
   }
 }
}

Fields

associated_presets: Vec<Map<String, Value>>

Saved model evaluation presets that reference this metric. Populated for custom metrics when listing metrics so the dashboard can warn that deleting the metric will also delete these presets. Empty for built-in metrics.

category: Map<String, Value>

Auto-generated fallback definition for: apiEvaluationMetricCategory

custom_eval_config: Map<String, Value>

Auto-generated fallback definition for: apiCustomEvaluationMetricConfig

description: Option<String>

evaluation_scope: Map<String, Value>

Auto-generated fallback definition for: apiEvaluationScope

inverted: Option<bool>

If true, the metric is inverted, meaning that a lower value is better.

is_metric_goal: Option<bool>

metric_name: Option<String>

metric_rank: Option<i64>

metric_type: Map<String, Value>

Auto-generated fallback definition for: apiEvaluationMetricType

metric_uuid: Option<String>

metric_value_type: Map<String, Value>

Auto-generated fallback definition for: apiEvaluationMetricValueType

range_max: Option<f32>

range_min: Option<f32>

source: Map<String, Value>

Auto-generated fallback definition for: apiEvaluationMetricSource

Trait Implementations

impl Clone for GenaiListModelEvaluationMetricsResponseMetricsItem

fn clone(&self) -> GenaiListModelEvaluationMetricsResponseMetricsItem

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GenaiListModelEvaluationMetricsResponseMetricsItem

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for GenaiListModelEvaluationMetricsResponseMetricsItem

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GenaiListModelEvaluationMetricsResponseMetricsItem

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl From<&GenaiListModelEvaluationMetricsResponseMetricsItem> for GenaiListModelEvaluationMetricsResponseMetricsItem

fn from(value: &GenaiListModelEvaluationMetricsResponseMetricsItem) -> Self

Converts to this type from the input type.

impl Serialize for GenaiListModelEvaluationMetricsResponseMetricsItem

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.