google_vertex_ai_hyperparameter_tuning_jobs resource
Use the google_vertex_ai_hyperparameter_tuning_jobs InSpec audit resource to to test a Google Cloud HyperparameterTuningJob resource.
Examples
describe google_vertex_ai_hyperparameter_tuning_jobs(parent: "projects/#{gcp_project_id}/locations/#{hyperparameter_tuning_job['region']}", region: ' value_region') do
it { should exist }
end
Properties
Properties that can be accessed from the google_vertex_ai_hyperparameter_tuning_jobs resource:
See google_vertex_ai_hyperparameter_tuning_job for more detailed information.
study_specs: an array ofgoogle_vertex_ai_hyperparameter_tuning_jobstudy_spectrials: an array ofgoogle_vertex_ai_hyperparameter_tuning_jobtrialsstates: an array ofgoogle_vertex_ai_hyperparameter_tuning_jobstatemax_failed_trial_counts: an array ofgoogle_vertex_ai_hyperparameter_tuning_jobmax_failed_trial_countencryption_specs: an array ofgoogle_vertex_ai_hyperparameter_tuning_jobencryption_specerrors: an array ofgoogle_vertex_ai_hyperparameter_tuning_joberrorend_times: an array ofgoogle_vertex_ai_hyperparameter_tuning_jobend_timeupdate_times: an array ofgoogle_vertex_ai_hyperparameter_tuning_jobupdate_timestart_times: an array ofgoogle_vertex_ai_hyperparameter_tuning_jobstart_timelabels: an array ofgoogle_vertex_ai_hyperparameter_tuning_joblabelscreate_times: an array ofgoogle_vertex_ai_hyperparameter_tuning_jobcreate_timeparallel_trial_counts: an array ofgoogle_vertex_ai_hyperparameter_tuning_jobparallel_trial_counttrial_job_specs: an array ofgoogle_vertex_ai_hyperparameter_tuning_jobtrial_job_specmax_trial_counts: an array ofgoogle_vertex_ai_hyperparameter_tuning_jobmax_trial_countdisplay_names: an array ofgoogle_vertex_ai_hyperparameter_tuning_jobdisplay_namenames: an array ofgoogle_vertex_ai_hyperparameter_tuning_jobname
Filter criteria
This resource supports all of the above properties as filter criteria, which can be used
with where as a block or a method.