optimization_api

class edgeimpulse_api.api.optimization_api.OptimizationApi(
		api_client=None
)

edgeimpulse_api.api.optimization_api.complete_search(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		job_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Job ID', extra={})],
		tuner_complete_search: edgeimpulse_api.models.tuner_complete_search.TunerCompleteSearch,
		**kwargs
) ‑> edgeimpulse_api.models.generic_api_response.GenericApiResponse

edgeimpulse_api.api.optimization_api.create_trial(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		job_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Job ID', extra={})],
		tuner_create_trial_impulse: edgeimpulse_api.models.tuner_create_trial_impulse.TunerCreateTrialImpulse,
		**kwargs
) ‑> edgeimpulse_api.models.generic_api_response.GenericApiResponse

edgeimpulse_api.api.optimization_api.delete_state(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.generic_api_response.GenericApiResponse

edgeimpulse_api.api.optimization_api.end_trial(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		job_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Job ID', extra={})],
		trial_id: Annotated[pydantic.types.StrictStr, FieldInfo(default=Ellipsis, description='trial ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.generic_api_response.GenericApiResponse

edgeimpulse_api.api.optimization_api.get_all_blocks(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.all_blocks_response.AllBlocksResponse

edgeimpulse_api.api.optimization_api.get_all_learn_blocks(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.all_learn_blocks_response.AllLearnBlocksResponse

edgeimpulse_api.api.optimization_api.get_config(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.optimize_config_response.OptimizeConfigResponse

edgeimpulse_api.api.optimization_api.get_dsp_parameters(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		organization_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Organization ID', extra={})],
		organization_dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Organization DSP ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.optimize_dsp_parameters_response.OptimizeDSPParametersResponse

edgeimpulse_api.api.optimization_api.get_space(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.optimize_space_response.OptimizeSpaceResponse

edgeimpulse_api.api.optimization_api.get_state(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.optimize_state_response.OptimizeStateResponse

edgeimpulse_api.api.optimization_api.get_transfer_learning_models(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.optimize_transfer_learning_models_response.OptimizeTransferLearningModelsResponse

edgeimpulse_api.api.optimization_api.get_trial_logs(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		trial_id: Annotated[pydantic.types.StrictStr, FieldInfo(default=Ellipsis, description='trial ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.log_stdout_response.LogStdoutResponse

edgeimpulse_api.api.optimization_api.get_tuner_run_state(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		tuner_coordinator_job_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Tuner coordinator job ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.optimize_state_response.OptimizeStateResponse

edgeimpulse_api.api.optimization_api.get_window_settings(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.window_settings_response.WindowSettingsResponse

edgeimpulse_api.api.optimization_api.list_tuner_runs(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.list_tuner_runs_response.ListTunerRunsResponse

edgeimpulse_api.api.optimization_api.update_config(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		optimize_config: edgeimpulse_api.models.optimize_config.OptimizeConfig,
		**kwargs
) ‑> edgeimpulse_api.models.generic_api_response.GenericApiResponse

edgeimpulse_api.api.optimization_api.update_tuner_run(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		tuner_coordinator_job_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Tuner coordinator job ID', extra={})],
		update_tuner_run_request: edgeimpulse_api.models.update_tuner_run_request.UpdateTunerRunRequest,
		**kwargs
) ‑> edgeimpulse_api.models.generic_api_response.GenericApiResponse