CoreMLFeatureValueObservation

featureValue

get featureValue(): _CoreML_MLSendableFeatureValue

let featureValue: MLSendableFeatureValue

The feature result of a ``CoreMLRequest`` that outputs neither a classification nor an image. Refer to Core ML documentation and the model itself to learn about proper handling of the content.

confidence

get confidence(): number

let confidence: Float

The level of confidence normalized to `[0, 1]` where `1` is most confident. The only exception is results coming from `CoreMLRequest`, where confidence values are forwarded as is from relevant CoreML models

description

get description(): string

var description: String { get }

A textual representation of this instance. Calling this property directly is discouraged. Instead, convert an instance of any type to a string by using the `String(describing:)` initializer. This initializer works with any type, and uses the custom `description` property for types that conform to `CustomStringConvertible`: struct Point: CustomStringConvertible { let x: Int, y: Int var description: String { return "(\(x), \(y))" } } let p = Point(x: 21, y: 30) let s = String(describing: p) print(s) // Prints "(21, 30)" The conversion of `p` to a string in the assignment to `s` uses the `Point` type's `description` property.

featureName

get featureName(): string

let featureName: String

The name used in the model description of the CoreML model that produced this observation.

originatingRequestDescriptor

get originatingRequestDescriptor(): (RequestDescriptor) | null

let originatingRequestDescriptor: RequestDescriptor?

The descriptor of the request that produced the observation.

uuid

get uuid(): string

let uuid: UUID

The unique identifier for the observation.

timeRange

get timeRange(): (_CoreMedia_CMTimeRange) | null

let timeRange: CMTimeRange?

The time range of the reported observation. When evaluating a sequence of image buffers, use this property to determine each observation’s start time and duration.

init

static init(observation: VNCoreMLFeatureValueObservation): (CoreMLFeatureValueObservation) | null

init?(_ observation: VNCoreMLFeatureValueObservation)