Class

MLParameterKey

A key for model and update parameter dictionaries.

Declaration

@interface MLParameterKey : MLKey

Topics

Model Parameter Keys

linkedModelFileName

The key you use to access the name of the linked model.

linkedModelSearchPath

The key you use to access the search path for the linked model.

Fixed Update Parameter Keys

epochs

The key you use to access the epochs parameter for the optimizer (an Int64 value).

miniBatchSize

The key you use to access the mini batch-size parameter for the optimizer (an Int64 value).

Dynamic Update Parameter Keys

beta1

The key you use to access the beta1 parameter for the Adam optimizer (a Double value).

beta2

The key you use to access the beta2 parameter for the Adam optimizer (a Double value).

eps

The key you use to access the eps parameter for the Adam optimizer (a Double value).

learningRate

The key you use to access the parameter for the optimizer’s learning rate (a Double value).

momentum

The key you use to access the parameter for the optimizer’s momentum gradient (a Double value).

Supporting Types

MLKey

An abstract base class for machine learning key types.

Instance Methods

Relationships

Inherits From

See Also

Starting and Resuming an Update

- resumeWithParameters:

Resumes a model update with updated parameter values.