HyperparameterTuningJobAiplatformV1beta1Args class

The set of arguments for HyperparameterTuningJob. The set of arguments for HyperparameterTuningJob.

Constructors

HyperparameterTuningJobAiplatformV1beta1Args({required Input<String> displayName, Input<GoogleCloudAiplatformV1beta1EncryptionSpec>? encryptionSpec, Input<Map<String, String>>? labels, Input<String>? location, Input<int>? maxFailedTrialCount, required Input<int> maxTrialCount, required Input<int> parallelTrialCount, Input<String>? project, required Input<GoogleCloudAiplatformV1beta1StudySpec> studySpec, required Input<GoogleCloudAiplatformV1beta1CustomJobSpec> trialJobSpec})
Creates a new HyperparameterTuningJobAiplatformV1beta1Args. displayName The display name of the HyperparameterTuningJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. encryptionSpec Customer-managed encryption key options for a HyperparameterTuningJob. If this is set, then all resources created by the HyperparameterTuningJob will be encrypted with the provided encryption key. labels The labels with user-defined metadata to organize HyperparameterTuningJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. location Optional. maxFailedTrialCount The number of failed Trials that need to be seen before failing the HyperparameterTuningJob. If set to 0, Vertex AI decides how many Trials must fail before the whole job fails. maxTrialCount The desired total number of Trials. parallelTrialCount The desired number of Trials to run in parallel. project Optional. studySpec Study configuration of the HyperparameterTuningJob. trialJobSpec The spec of a trial job. The same spec applies to the CustomJobs created in all the trials.
const
HyperparameterTuningJobAiplatformV1beta1Args.fromMap(Map<String, dynamic> map)
factory

Properties

displayName → Input<String>
The display name of the HyperparameterTuningJob. The name can be up to 128 characters long and can consist of any UTF-8 characters.
final
encryptionSpec → Input<GoogleCloudAiplatformV1beta1EncryptionSpec>?
Customer-managed encryption key options for a HyperparameterTuningJob. If this is set, then all resources created by the HyperparameterTuningJob will be encrypted with the provided encryption key.
final
hashCode → int
The hash code for this object.
no setterinherited
labels → Input<Map<String, String>>?
The labels with user-defined metadata to organize HyperparameterTuningJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
final
location → Input<String>?
final
maxFailedTrialCount → Input<int>?
The number of failed Trials that need to be seen before failing the HyperparameterTuningJob. If set to 0, Vertex AI decides how many Trials must fail before the whole job fails.
final
maxTrialCount → Input<int>
The desired total number of Trials.
final
parallelTrialCount → Input<int>
The desired number of Trials to run in parallel.
final
project → Input<String>?
final
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
studySpec → Input<GoogleCloudAiplatformV1beta1StudySpec>
Study configuration of the HyperparameterTuningJob.
final
trialJobSpec → Input<GoogleCloudAiplatformV1beta1CustomJobSpec>
The spec of a trial job. The same spec applies to the CustomJobs created in all the trials.
final

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
toMap() → Map<String, dynamic>
toString() → String
A string representation of this object.
inherited

Operators

operator ==(Object other) → bool
The equality operator.
inherited