Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::HyperparameterTuningJob (v0.56.0)

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::HyperparameterTuningJob.

Represents a HyperparameterTuningJob. A HyperparameterTuningJob has a Study specification and multiple CustomJobs with identical CustomJob specification.

Inherits

Object

Extended By

Google::Protobuf::MessageExts::ClassMethods

Includes

Google::Protobuf::MessageExts

Methods

#create_time

def create_time() -> ::Google::Protobuf::Timestamp

Returns

(::Google::Protobuf::Timestamp) — Output only. Time when the HyperparameterTuningJob was created.

#display_name

def display_name() -> ::String

Returns

(::String) — Required. The display name of the HyperparameterTuningJob. The name can be up to 128 characters long and can consist of any UTF-8 characters.

#display_name=

def display_name=(value) -> ::String

Parameter

value (::String) — Required. The display name of the HyperparameterTuningJob. The name can be up to 128 characters long and can consist of any UTF-8 characters.

Returns

(::String) — Required. The display name of the HyperparameterTuningJob. The name can be up to 128 characters long and can consist of any UTF-8 characters.

#encryption_spec

def encryption_spec() -> ::Google::Cloud::AIPlatform::V1::EncryptionSpec

Returns

(::Google::Cloud::AIPlatform::V1::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.

#encryption_spec=

def encryption_spec=(value) -> ::Google::Cloud::AIPlatform::V1::EncryptionSpec

Parameter

value (::Google::Cloud::AIPlatform::V1::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.

Returns

(::Google::Cloud::AIPlatform::V1::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.

#end_time

def end_time() -> ::Google::Protobuf::Timestamp

Returns

(::Google::Protobuf::Timestamp) — Output only. Time when the HyperparameterTuningJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.

#error

def error() -> ::Google::Rpc::Status

Returns

(::Google::Rpc::Status) — Output only. Only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

#labels

def labels() -> ::Google::Protobuf::Map{::String => ::String}

Returns

(::Google::Protobuf::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.

#labels=

def labels=(value) -> ::Google::Protobuf::Map{::String => ::String}

Parameter

value (::Google::Protobuf::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.

Returns

(::Google::Protobuf::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.

#max_failed_trial_count

def max_failed_trial_count() -> ::Integer

Returns

(::Integer) — 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.

#max_failed_trial_count=

def max_failed_trial_count=(value) -> ::Integer

Parameter

value (::Integer) — 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.

Returns

(::Integer) — 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.

#max_trial_count

def max_trial_count() -> ::Integer

Returns

(::Integer) — Required. The desired total number of Trials.

#max_trial_count=

def max_trial_count=(value) -> ::Integer

Parameter

value (::Integer) — Required. The desired total number of Trials.

Returns

(::Integer) — Required. The desired total number of Trials.

#name

def name() -> ::String

Returns

(::String) — Output only. Resource name of the HyperparameterTuningJob.

#parallel_trial_count

def parallel_trial_count() -> ::Integer

Returns

(::Integer) — Required. The desired number of Trials to run in parallel.

#parallel_trial_count=

def parallel_trial_count=(value) -> ::Integer

Parameter

value (::Integer) — Required. The desired number of Trials to run in parallel.

Returns

(::Integer) — Required. The desired number of Trials to run in parallel.

#satisfies_pzi

def satisfies_pzi() -> ::Boolean

Returns

(::Boolean) — Output only. Reserved for future use.

#satisfies_pzs

def satisfies_pzs() -> ::Boolean

Returns

(::Boolean) — Output only. Reserved for future use.

#start_time

def start_time() -> ::Google::Protobuf::Timestamp

Returns

(::Google::Protobuf::Timestamp) — Output only. Time when the HyperparameterTuningJob for the first time entered the JOB_STATE_RUNNING state.

#state

def state() -> ::Google::Cloud::AIPlatform::V1::JobState

Returns

(::Google::Cloud::AIPlatform::V1::JobState) — Output only. The detailed state of the job.

#study_spec

def study_spec() -> ::Google::Cloud::AIPlatform::V1::StudySpec

Returns

(::Google::Cloud::AIPlatform::V1::StudySpec) — Required. Study configuration of the HyperparameterTuningJob.

#study_spec=

def study_spec=(value) -> ::Google::Cloud::AIPlatform::V1::StudySpec

Parameter

value (::Google::Cloud::AIPlatform::V1::StudySpec) — Required. Study configuration of the HyperparameterTuningJob.

Returns

(::Google::Cloud::AIPlatform::V1::StudySpec) — Required. Study configuration of the HyperparameterTuningJob.

#trial_job_spec

def trial_job_spec() -> ::Google::Cloud::AIPlatform::V1::CustomJobSpec

Returns

(::Google::Cloud::AIPlatform::V1::CustomJobSpec) — Required. The spec of a trial job. The same spec applies to the CustomJobs created in all the trials.

#trial_job_spec=

def trial_job_spec=(value) -> ::Google::Cloud::AIPlatform::V1::CustomJobSpec

Parameter

value (::Google::Cloud::AIPlatform::V1::CustomJobSpec) — Required. The spec of a trial job. The same spec applies to the CustomJobs created in all the trials.

Returns

(::Google::Cloud::AIPlatform::V1::CustomJobSpec) — Required. The spec of a trial job. The same spec applies to the CustomJobs created in all the trials.

#trials

def trials() -> ::Array<::Google::Cloud::AIPlatform::V1::Trial>

Returns

(::Array<::Google::Cloud::AIPlatform::V1::Trial>) — Output only. Trials of the HyperparameterTuningJob.

#update_time

def update_time() -> ::Google::Protobuf::Timestamp

Returns

(::Google::Protobuf::Timestamp) — Output only. Time when the HyperparameterTuningJob was most recently updated.