Vertex AI Hyperparameter Tuning Job

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Vertex AI Hyperparameter Tuning Job automatically searches for the best hyperparameter values for a machine learning model on Google Cloud. It runs multiple training trials in parallel, each with different hyperparameter combinations, and uses optimization algorithms to find the configuration that yields the best model performance.

gcp.aiplatform_hyperparameter_tuning_job

Fields

ID	Type	Data Type	Description
_key	core	string
ancestors	core	array<string>
create_time	core	timestamp	Output only. Time when the HyperparameterTuningJob was created.
datadog_display_name	core	string
encryption_spec	core	json	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	core	timestamp	Output only. Time when the HyperparameterTuningJob entered any of the following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
error	core	json	Output only. Only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
gcp_display_name	core	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.
labels	core	array<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	core	int64	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	core	int64	Required. The desired total number of Trials.
name	core	string	Output only. Resource name of the HyperparameterTuningJob.
organization_id	core	string
parallel_trial_count	core	int64	Required. The desired number of Trials to run in parallel.
parent	core	string
project_id	core	string
project_number	core	string
region_id	core	string
resource_name	core	string
satisfies_pzi	core	bool	Output only. Reserved for future use.
satisfies_pzs	core	bool	Output only. Reserved for future use.
start_time	core	timestamp	Output only. Time when the HyperparameterTuningJob for the first time entered the `JOB_STATE_RUNNING` state.
state	core	string	Output only. The detailed state of the job.
study_spec	core	json	Required. Study configuration of the HyperparameterTuningJob.
tags	core	hstore_csv
trial_job_spec	core	json	Required. The spec of a trial job. The same spec applies to the CustomJobs created in all the trials.
trials	core	json	Output only. Trials of the HyperparameterTuningJob.
update_time	core	timestamp	Output only. Time when the HyperparameterTuningJob was most recently updated.
zone_id	core	string