GoogleCloudMlV1HyperparameterSpec class
Represents a set of hyperparameters to optimize.
Constructors
-
GoogleCloudMlV1HyperparameterSpec({String? algorithm, bool? enableTrialEarlyStopping, String? goal, String? hyperparameterMetricTag, int? maxFailedTrials, int? maxParallelTrials, int? maxTrials, List<
GoogleCloudMlV1ParameterSpec> ? params, String? resumePreviousJobId}) - GoogleCloudMlV1HyperparameterSpec.fromJson(Map json_)
Properties
- algorithm ↔ String?
-
The search algorithm specified for the hyperparameter tuning job.
getter/setter pair
- enableTrialEarlyStopping ↔ bool?
-
Indicates if the hyperparameter tuning job enables auto trial early
stopping.
getter/setter pair
- goal ↔ String?
-
The type of goal to use for tuning.
getter/setter pair
- hashCode → int
-
The hash code for this object.
no setterinherited
- hyperparameterMetricTag ↔ String?
-
The TensorFlow summary tag name to use for optimizing trials.
getter/setter pair
- maxFailedTrials ↔ int?
-
The number of failed trials that need to be seen before failing the
hyperparameter tuning job.
getter/setter pair
- maxParallelTrials ↔ int?
-
The number of training trials to run concurrently.
getter/setter pair
- maxTrials ↔ int?
-
How many training trials should be attempted to optimize the specified
hyperparameters.
getter/setter pair
-
params
↔ List<
GoogleCloudMlV1ParameterSpec> ? -
The set of parameters to tune.
getter/setter pair
- resumePreviousJobId ↔ String?
-
The prior hyperparameter tuning job id that users hope to continue with.
getter/setter pair
- 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(
) → Map< String, dynamic> -
toString(
) → String -
A string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited