Class

MLModelDescription

Information about a model, primarily the expected input and output format for each feature, and optional metadata.

Declaration

class MLModelDescription : NSObject

Topics

Accessing Feature Descriptions

var inputDescriptionsByName: [String : MLFeatureDescription]

Descriptions of this model's various input features, keyed by each feature's name.

var outputDescriptionsByName: [String : MLFeatureDescription]

Descriptions of this model's various output features, keyed by each feature's name.

class MLFeatureDescription

The name, type, and constraints of an input or output feature.

Accessing Metadata

var metadata: [MLModelMetadataKey : Any]

Metadata object that has information related to the model, as defined by the keys in the MLModelMetadataKey.

struct MLModelMetadataKey

Keys for the metadata dictionary used by the model.

Accessing Prediction Names

var predictedFeatureName: String?

The name of the value that is being predicted.

var predictedProbabilitiesName: String?

The name of the probabilities for the prediction.

Accessing Update Descriptions

var isUpdatable: Bool

A Boolean value that indicates whether you can update the model with additional training.

Beta

var trainingInputDescriptionsByName: [String : MLFeatureDescription]

Provides access to each training input as a feature description, given the name of the input.

Beta

class MLParameterKey

A key for model and update parameter dictionaries.

Beta

class MLParameterDescription

The description of a model parameter that includes a default value and a constraint, if applicable.

Beta

Relationships

Inherits From

NSObject

MLModelDescription

Declaration

Topics

Accessing Feature Descriptions

Accessing Metadata

Accessing Prediction Names

Accessing Update Descriptions

Relationships

Inherits From

Conforms To

See Also

Inspecting a Model