sRSrSSKJr SSKJr SSKJr SSKJr SSKJr SSK J r SSK J r SS K J r SS K Jr SS KJr SS KJr SS KJr \R*"SSSS9r\R*"S\SSS9r\R*"S\SSS9r\R*"SSSS9rSr\ R84Sjrg)z;Flag definitions specifically for gcloud ai hp-tuning-jobs.)absolute_import)division)unicode_literals)base)concepts) constants)flags) region_util)hp_tuning_jobs_util) arg_utils) labels_util)concept_parsersz--display-nameTz8Display name of the hyperparameter tuning job to create.)requiredhelpz--max-trial-countNz7Desired total number of trials. The default value is 1.)typedefaultrz--parallel-trial-countzDDesired number of Trials to run in parallel. The default value is 1.z--configa Path to the job configuration file. This file should be a YAML document containing a HyperparameterTuningSpec. If an option is specified both in the configuration file **and** via command line arguments, the command line arguments override the configuration file. Example(YAML): displayName: TestHpTuningJob maxTrialCount: 1 parallelTrialCount: 1 studySpec: metrics: - metricId: x goal: MINIMIZE parameters: - parameterId: z integerValueSpec: minValue: 1 maxValue: 100 algorithm: RANDOM_SEARCH trialJobSpec: workerPoolSpecs: - machineSpec: machineType: n1-standard-4 replicaCount: 1 containerSpec: imageUri: gcr.io/ucaip-test/ucaip-training-test c[RU5 [RU5 [RU5 [RU5 [ R "U5 [R"US[R"[R5S9 [RRU5 [RRU5 [RRU5 [R RU5 [R""US5 [$R&"SUSS9R(RU5 g)z*Adds arguments for creating hp tuning job.z%to create a hyperparameter tuning job prompt_funchyperparameter tuning jobz --algorithmz0Search algorithm specified for the given study. )help_strN)_HPTUNING_JOB_DISPLAY_NAME AddToParser_HPTUNING_JOB_CONFIG_HPTUNING_MAX_TRIAL_COUNT_HPTUNING_PARALLEL_TRIAL_COUNTr AddCreateLabelsFlagsr AddRegionResourceArgr GetPromptForRegionFuncrSUPPORTED_TRAINING_REGIONSTRAINING_SERVICE_ACCOUNTNETWORKENABLE_WEB_ACCESSENABLE_DASHBOARD_ACCESSAddKmsKeyResourceArgr ChoiceEnumMapper choice_arg)parseralgorithm_enums 9lib/googlecloudsdk/command_lib/ai/hp_tuning_jobs/flags.pyAddCreateHpTuningJobFlagsr+Rs((0""6*''/ ,,V4 ""6* -44  . .01   ,,V4--F#%%f-++F3V%@A AJ{{6"c 4[R"[RS[R[ R "[R"U5S9SS9n[RRSUSRU5SS9RU5 g ) a2Adds a resource argument for a Vertex AI hyperparameter tuning job. NOTE: Must be used only if it's the only resource arg in the command. Args: parser: the parser for the command. verb: str, the verb to describe the resource, such as 'to update'. regions: list[str], the list of supported regions. rrF)resource_collection resource_name projectsId locationsIddisable_auto_completers hptuning_jobz!The hyperparameter tuning job {}.T)rN)r ResourceSpecr HPTUNING_JOB_COLLECTION DEFAULT_PROJECT_ATTRIBUTE_CONFIGr RegionAttributeConfigr rr ConceptParser ForResourceformatr)r(verbregionsjob_resource_specs r*AddHptuningJobResourceArgr>ms++-EE/::--!88AC# %++)006 ,![(r,)__doc__ __future__rrrgooglecloudsdk.callioper googlecloudsdk.calliope.conceptsrgooglecloudsdk.command_lib.airr r ,googlecloudsdk.command_lib.ai.hp_tuning_jobsr $googlecloudsdk.command_lib.util.apisr $googlecloudsdk.command_lib.util.argsr (googlecloudsdk.command_lib.util.conceptsrArgumentrintrrrr+r r>r,r*rKsB&'(53/5L:<D!]]  DG!MM  B D "&  O "Q }}  B#:'0&J&J)r,