Hyperparameters class final
Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance
Constructors
- Hyperparameters({double? learningRate, double? learningRateMultiplier, int? epochCount, int? batchSize})
- Hyperparameters.fromJson(Object? j)
-
factory
Properties
- batchSize → int?
-
Immutable. The batch size hyperparameter for tuning.
If not set, a default of 4 or 16 will be used based on the number of
training examples.
final
- epochCount → int?
-
Immutable. The number of training epochs. An epoch is one pass through the
training data. If not set, a default of 5 will be used.
final
- hashCode → int
-
The hash code for this object.
no setterinherited
- learningRate → double?
-
Optional. Immutable. The learning rate hyperparameter for tuning.
If not set, a default of 0.001 or 0.0002 will be calculated based on the
number of training examples.
final
- learningRateMultiplier → double?
-
Optional. Immutable. The learning rate multiplier is used to calculate a
final learning_rate based on the default (recommended) value. Actual
learning rate := learning_rate_multiplier * default learning rate Default
learning rate is dependent on base model and dataset size. If not set, a
default of 1.0 will be used.
final
- qualifiedName → String
-
The fully qualified name of this message, i.e.,
google.protobuf.Durationorgoogle.rpc.ErrorInfo.finalinherited - runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toJson(
) → Object -
toString(
) → String -
A string representation of this object.
override
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited
Constants
- fullyQualifiedName → const String