jobs_api - Edge Impulse Documentation

JobsApi

class edgeimpulse_api.api.jobs_api.JobsApi(
		api_client=None
)

Parameters

api_client=None

Methods

autotune_dsp_job

edgeimpulse_api.api.jobs_api.autotune_dsp_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		autotune_dsp_request: edgeimpulse_api.models.autotune_dsp_request.AutotuneDspRequest,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Autotune DSP parameters Autotune DSP block parameters. Updates are streamed over the websocket API. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
autotune_dsp_request: edgeimpulse_api.models.autotune_dsp_request.AutotuneDspRequest
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

build_on_device_model_job

edgeimpulse_api.api.jobs_api.build_on_device_model_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		type: Annotated[pydantic.types.StrictStr, FieldInfo(default=Ellipsis, description='The name of the built target. You can find this by listing all deployment targets through `listDeploymentTargetsForProject` (via `GET /v1/api/{projectId}/deployment/targets`) and see the `format` type.', extra={})],
		build_on_device_model_request: edgeimpulse_api.models.build_on_device_model_request.BuildOnDeviceModelRequest,
		impulse_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description='Impulse ID. If this is unset then the default impulse is used.', extra={})] = None,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Build on-device model Generate code to run the impulse on an embedded device. When this step is complete use downloadBuild to download the artefacts. Updates are streamed over the websocket API. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
type: Annotated[pydantic.types.StrictStr, FieldInfo(default=Ellipsis, description=‘The name of the built target. You can find this by listing all deployment targets through listDeploymentTargetsForProject (via GET /v1/api/{projectId}/deployment/targets) and see the format type.’, extra=)]
build_on_device_model_request: edgeimpulse_api.models.build_on_device_model_request.BuildOnDeviceModelRequest
impulse_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description=‘Impulse ID. If this is unset then the default impulse is used.’, extra=)] = None
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

build_organization_on_device_model_job

edgeimpulse_api.api.jobs_api.build_organization_on_device_model_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		build_organization_on_device_model_request: edgeimpulse_api.models.build_organization_on_device_model_request.BuildOrganizationOnDeviceModelRequest,
		impulse_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description='Impulse ID. If this is unset then the default impulse is used.', extra={})] = None,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Build organizational on-device model Generate code to run the impulse on an embedded device using an organizational deployment block. When this step is complete use downloadBuild to download the artefacts. Updates are streamed over the websocket API. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
build_organization_on_device_model_request: edgeimpulse_api.models.build_organization_on_device_model_request.BuildOrganizationOnDeviceModelRequest
impulse_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description=‘Impulse ID. If this is unset then the default impulse is used.’, extra=)] = None
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

calculate_data_quality_metrics

edgeimpulse_api.api.jobs_api.calculate_data_quality_metrics(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		calculate_data_quality_metrics_request: edgeimpulse_api.models.calculate_data_quality_metrics_request.CalculateDataQualityMetricsRequest,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Calculate data quality metrics. Only available for EI staff. Calculate data quality metrics for the dataset Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
calculate_data_quality_metrics_request: edgeimpulse_api.models.calculate_data_quality_metrics_request.CalculateDataQualityMetricsRequest
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

cancel_job

edgeimpulse_api.api.jobs_api.cancel_job(
		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={})],
		force_cancel: Annotated[pydantic.types.StrictStr | None, FieldInfo(default=PydanticUndefined, description="If set to 'true', we won't wait for the job cluster to cancel the job, and will mark the job as finished.", extra={})] = None,
		**kwargs
) ‑> edgeimpulse_api.models.generic_api_response.GenericApiResponse

Cancel job Cancel a running job. Parameters

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=)]
force_cancel: Annotated[pydantic.types.StrictStr | None, FieldInfo(default=PydanticUndefined, description=“If set to ‘true’, we won’t wait for the job cluster to cancel the job, and will mark the job as finished.”, extra=)] = None
**kwargs

Return edgeimpulse_api.models.generic_api_response.GenericApiResponse

create_ai_actions_job

edgeimpulse_api.api.jobs_api.create_ai_actions_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		action_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='AI Action ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Create AI Actions job Run an AI Actions job over a subset of data. This will instruct the block to apply the changes directly to your dataset. To preview, use “createPreviewAIActionsJob”. To set the config use updateAIAction. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
action_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘AI Action ID’, extra=)]
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

create_preview_ai_actions_job

edgeimpulse_api.api.jobs_api.create_preview_ai_actions_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		action_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='AI Action ID', extra={})],
		create_preview_ai_actions_job_request: edgeimpulse_api.models.create_preview_ai_actions_job_request.CreatePreviewAIActionsJobRequest,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Create preview AI Actions job Do a dry-run of an AI Actions job over a subset of data. This will instruct the block to propose changes to data items (via “setSampleProposedChanges”) rather than apply the changes directly. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
action_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘AI Action ID’, extra=)]
create_preview_ai_actions_job_request: edgeimpulse_api.models.create_preview_ai_actions_job_request.CreatePreviewAIActionsJobRequest
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

create_synthetic_data_job

edgeimpulse_api.api.jobs_api.create_synthetic_data_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		create_synthetic_data_request: edgeimpulse_api.models.create_synthetic_data_request.CreateSyntheticDataRequest,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Create synthetic data Generate new synthetic data Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
create_synthetic_data_request: edgeimpulse_api.models.create_synthetic_data_request.CreateSyntheticDataRequest
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

download_jobs_logs

edgeimpulse_api.api.jobs_api.download_jobs_logs(
		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={})],
		limit: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description='Maximum number of results', extra={})] = None,
		log_level: Annotated[pydantic.types.StrictStr | None, FieldInfo(default=PydanticUndefined, description='Log level (error, warn, info, debug)', extra={})] = None,
		**kwargs
) ‑> str

Download logs Download the logs for a job (as a text file). Parameters

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=)]
limit: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description=‘Maximum number of results’, extra=)] = None
log_level: Annotated[pydantic.types.StrictStr | None, FieldInfo(default=PydanticUndefined, description=‘Log level (error, warn, info, debug)’, extra=)] = None
**kwargs

Return str

export_keras_block

edgeimpulse_api.api.jobs_api.export_keras_block(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		learn_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Learn Block ID, use the impulse functions to retrieve the ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Export Keras block Export the training pipeline of a Keras block. Updates are streamed over the websocket API. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
learn_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Learn Block ID, use the impulse functions to retrieve the ID’, extra=)]
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

export_keras_block_data

edgeimpulse_api.api.jobs_api.export_keras_block_data(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		learn_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Learn Block ID, use the impulse functions to retrieve the ID', extra={})],
		export_keras_block_data_request: edgeimpulse_api.models.export_keras_block_data_request.ExportKerasBlockDataRequest,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Export Keras block data Export the data of a Keras block (already split in train/validate data). Updates are streamed over the websocket API. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
learn_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Learn Block ID, use the impulse functions to retrieve the ID’, extra=)]
export_keras_block_data_request: edgeimpulse_api.models.export_keras_block_data_request.ExportKerasBlockDataRequest
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

generate_data_explorer_features

edgeimpulse_api.api.jobs_api.generate_data_explorer_features(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Generate data explorer features Generate features for the data explorer Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

generate_features_job

edgeimpulse_api.api.jobs_api.generate_features_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		generate_features_request: edgeimpulse_api.models.generate_features_request.GenerateFeaturesRequest,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Generate features Take the raw training set and generate features from them. Updates are streamed over the websocket API. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
generate_features_request: edgeimpulse_api.models.generate_features_request.GenerateFeaturesRequest
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

get_impulse_migration_job_status

edgeimpulse_api.api.jobs_api.get_impulse_migration_job_status(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.get_job_response.GetJobResponse

Get impulse migration status Get the status for the multi-impulse migration job in this project. This is a separate route so public projects can access it. If no multi-impulse migration jobs are present, an error will be thrown. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
**kwargs

Return edgeimpulse_api.models.get_job_response.GetJobResponse

get_impulse_migration_jobs_logs

edgeimpulse_api.api.jobs_api.get_impulse_migration_jobs_logs(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		limit: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description='Maximum number of results', extra={})] = None,
		log_level: Annotated[pydantic.types.StrictStr | None, FieldInfo(default=PydanticUndefined, description='Log level (error, warn, info, debug)', extra={})] = None,
		**kwargs
) ‑> edgeimpulse_api.models.log_stdout_response.LogStdoutResponse

Get impulse migration logs Get the logs for the multi-impulse migration job in this project. This is a separate route so public projects can access it. If no multi-impulse migration jobs are present, an error will be thrown. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
limit: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description=‘Maximum number of results’, extra=)] = None
log_level: Annotated[pydantic.types.StrictStr | None, FieldInfo(default=PydanticUndefined, description=‘Log level (error, warn, info, debug)’, extra=)] = None
**kwargs

Return edgeimpulse_api.models.log_stdout_response.LogStdoutResponse

get_job_status

edgeimpulse_api.api.jobs_api.get_job_status(
		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={})],
		**kwargs
) ‑> edgeimpulse_api.models.get_job_response.GetJobResponse

Get job status Get the status for a job. Parameters

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=)]
**kwargs

Return edgeimpulse_api.models.get_job_response.GetJobResponse

get_jobs_logs

edgeimpulse_api.api.jobs_api.get_jobs_logs(
		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={})],
		limit: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description='Maximum number of results', extra={})] = None,
		log_level: Annotated[pydantic.types.StrictStr | None, FieldInfo(default=PydanticUndefined, description='Log level (error, warn, info, debug)', extra={})] = None,
		**kwargs
) ‑> edgeimpulse_api.models.log_stdout_response.LogStdoutResponse

Get logs Get the logs for a job. Parameters

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=)]
limit: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description=‘Maximum number of results’, extra=)] = None
log_level: Annotated[pydantic.types.StrictStr | None, FieldInfo(default=PydanticUndefined, description=‘Log level (error, warn, info, debug)’, extra=)] = None
**kwargs

Return edgeimpulse_api.models.log_stdout_response.LogStdoutResponse

get_jobs_summary

edgeimpulse_api.api.jobs_api.get_jobs_summary(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		start_date: Annotated[datetime.datetime, FieldInfo(default=Ellipsis, description='Start date', extra={})],
		end_date: Annotated[datetime.datetime, FieldInfo(default=Ellipsis, description='End date', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.job_summary_response.JobSummaryResponse

Job summary Get a summary of jobs, grouped by key. Used to report to users how much compute they’ve used. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
start_date: Annotated[datetime.datetime, FieldInfo(default=Ellipsis, description=‘Start date’, extra=)]
end_date: Annotated[datetime.datetime, FieldInfo(default=Ellipsis, description=‘End date’, extra=)]
**kwargs

Return edgeimpulse_api.models.job_summary_response.JobSummaryResponse

get_profile_tflite_job_result

edgeimpulse_api.api.jobs_api.get_profile_tflite_job_result(
		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={})],
		**kwargs
) ‑> edgeimpulse_api.models.profile_tf_lite_response.ProfileTfLiteResponse

Get TFLite profile result (GET) Get the results from a job started from startProfileTfliteJob (via a GET request). Parameters

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=)]
**kwargs

Return edgeimpulse_api.models.profile_tf_lite_response.ProfileTfLiteResponse

get_profile_tflite_job_result_via_post_request

edgeimpulse_api.api.jobs_api.get_profile_tflite_job_result_via_post_request(
		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={})],
		**kwargs
) ‑> edgeimpulse_api.models.profile_tf_lite_response.ProfileTfLiteResponse

Get TFLite profile result (POST) Get the results from a job started from startProfileTfliteJob (via a POST request). Parameters

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=)]
**kwargs

Return edgeimpulse_api.models.profile_tf_lite_response.ProfileTfLiteResponse

list_active_jobs

edgeimpulse_api.api.jobs_api.list_active_jobs(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		root_only: Annotated[pydantic.types.StrictBool | None, FieldInfo(default=PydanticUndefined, description='Whether to exclude jobs with a parent ID (so jobs started as part of another job)', extra={})] = None,
		**kwargs
) ‑> edgeimpulse_api.models.list_jobs_response.ListJobsResponse

List active jobs Get all active jobs for this project Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
root_only: Annotated[pydantic.types.StrictBool | None, FieldInfo(default=PydanticUndefined, description=‘Whether to exclude jobs with a parent ID (so jobs started as part of another job)’, extra=)] = None
**kwargs

Return edgeimpulse_api.models.list_jobs_response.ListJobsResponse

list_all_jobs

edgeimpulse_api.api.jobs_api.list_all_jobs(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		start_date: Annotated[datetime.datetime | None, FieldInfo(default=PydanticUndefined, description='Start date', extra={})] = None,
		end_date: Annotated[datetime.datetime | None, FieldInfo(default=PydanticUndefined, description='End date', extra={})] = None,
		limit: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description='Maximum number of results', extra={})] = None,
		offset: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description='Offset in results, can be used in conjunction with LimitResultsParameter to implement paging.', extra={})] = None,
		root_only: Annotated[pydantic.types.StrictBool | None, FieldInfo(default=PydanticUndefined, description='Whether to exclude jobs with a parent ID (so jobs started as part of another job)', extra={})] = None,
		key: Annotated[pydantic.types.StrictStr | None, FieldInfo(default=PydanticUndefined, description='Job key to filter on', extra={})] = None,
		category: Annotated[pydantic.types.StrictStr | None, FieldInfo(default=PydanticUndefined, description='Job category to filter on', extra={})] = None,
		**kwargs
) ‑> edgeimpulse_api.models.list_jobs_response.ListJobsResponse

List all jobs Get all jobs for this project Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
start_date: Annotated[datetime.datetime | None, FieldInfo(default=PydanticUndefined, description=‘Start date’, extra=)] = None
end_date: Annotated[datetime.datetime | None, FieldInfo(default=PydanticUndefined, description=‘End date’, extra=)] = None
limit: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description=‘Maximum number of results’, extra=)] = None
offset: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description=‘Offset in results, can be used in conjunction with LimitResultsParameter to implement paging.’, extra=)] = None
root_only: Annotated[pydantic.types.StrictBool | None, FieldInfo(default=PydanticUndefined, description=‘Whether to exclude jobs with a parent ID (so jobs started as part of another job)’, extra=)] = None
key: Annotated[pydantic.types.StrictStr | None, FieldInfo(default=PydanticUndefined, description=‘Job key to filter on’, extra=)] = None
category: Annotated[pydantic.types.StrictStr | None, FieldInfo(default=PydanticUndefined, description=‘Job category to filter on’, extra=)] = None
**kwargs

Return edgeimpulse_api.models.list_jobs_response.ListJobsResponse

list_finished_jobs

edgeimpulse_api.api.jobs_api.list_finished_jobs(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		start_date: Annotated[datetime.datetime | None, FieldInfo(default=PydanticUndefined, description='Start date', extra={})] = None,
		end_date: Annotated[datetime.datetime | None, FieldInfo(default=PydanticUndefined, description='End date', extra={})] = None,
		limit: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description='Maximum number of results', extra={})] = None,
		offset: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description='Offset in results, can be used in conjunction with LimitResultsParameter to implement paging.', extra={})] = None,
		root_only: Annotated[pydantic.types.StrictBool | None, FieldInfo(default=PydanticUndefined, description='Whether to exclude jobs with a parent ID (so jobs started as part of another job)', extra={})] = None,
		**kwargs
) ‑> edgeimpulse_api.models.list_jobs_response.ListJobsResponse

List finished jobs Get all finished jobs for this project Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
start_date: Annotated[datetime.datetime | None, FieldInfo(default=PydanticUndefined, description=‘Start date’, extra=)] = None
end_date: Annotated[datetime.datetime | None, FieldInfo(default=PydanticUndefined, description=‘End date’, extra=)] = None
limit: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description=‘Maximum number of results’, extra=)] = None
offset: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description=‘Offset in results, can be used in conjunction with LimitResultsParameter to implement paging.’, extra=)] = None
root_only: Annotated[pydantic.types.StrictBool | None, FieldInfo(default=PydanticUndefined, description=‘Whether to exclude jobs with a parent ID (so jobs started as part of another job)’, extra=)] = None
**kwargs

Return edgeimpulse_api.models.list_jobs_response.ListJobsResponse

optimize_job

edgeimpulse_api.api.jobs_api.optimize_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		extended_from_job_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description='Tuner coordinator job ID for the direct descendant job to extend this search from', extra={})] = None,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Optimize model Evaluates optimal model architecture Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
extended_from_job_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description=‘Tuner coordinator job ID for the direct descendant job to extend this search from’, extra=)] = None
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

retry_impulse_migration

edgeimpulse_api.api.jobs_api.retry_impulse_migration(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Retry impulse migration If an impulse migration previously failed, use this function to retry the job. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

set_tuner_primary_job

edgeimpulse_api.api.jobs_api.set_tuner_primary_job(
		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={})],
		set_tuner_primary_job_request: edgeimpulse_api.models.set_tuner_primary_job_request.SetTunerPrimaryJobRequest | None = None,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Sets EON tuner primary model Sets EON tuner primary model Parameters

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=)]
set_tuner_primary_job_request: edgeimpulse_api.models.set_tuner_primary_job_request.SetTunerPrimaryJobRequest | None = None
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

start_classify_job

edgeimpulse_api.api.jobs_api.start_classify_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		start_classify_job_request: edgeimpulse_api.models.start_classify_job_request.StartClassifyJobRequest,
		impulse_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description='Impulse ID. If this is unset then the default impulse is used.', extra={})] = None,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Classify Classifies all items in the testing dataset against the current impulse. Updates are streamed over the websocket API. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
start_classify_job_request: edgeimpulse_api.models.start_classify_job_request.StartClassifyJobRequest
impulse_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description=‘Impulse ID. If this is unset then the default impulse is used.’, extra=)] = None
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

start_deploy_pretrained_model_job

edgeimpulse_api.api.jobs_api.start_deploy_pretrained_model_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		deploy_pretrained_model_request: edgeimpulse_api.models.deploy_pretrained_model_request.DeployPretrainedModelRequest,
		impulse_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description='Impulse ID. If this is unset then the default impulse is used.', extra={})] = None,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Deploy pretrained model Takes in a TFLite file and builds the model and SDK. Updates are streamed over the websocket API (or can be retrieved through the /stdout endpoint). Use getProfileTfliteJobResult to get the results when the job is completed. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
deploy_pretrained_model_request: edgeimpulse_api.models.deploy_pretrained_model_request.DeployPretrainedModelRequest
impulse_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description=‘Impulse ID. If this is unset then the default impulse is used.’, extra=)] = None
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

start_evaluate_job

edgeimpulse_api.api.jobs_api.start_evaluate_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		impulse_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description='Impulse ID. If this is unset then the default impulse is used.', extra={})] = None,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Evaluate Evaluates every variant of the current impulse. Updates are streamed over the websocket API. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
impulse_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description=‘Impulse ID. If this is unset then the default impulse is used.’, extra=)] = None
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

start_import_data_from_project_job

edgeimpulse_api.api.jobs_api.start_import_data_from_project_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		import_data_from_another_project_job_request: edgeimpulse_api.models.import_data_from_another_project_job_request.ImportDataFromAnotherProjectJobRequest,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Import data from another project Adds all data from an existing project into this project. This function is only available through a JWT token; and you can only add data from projects that you’re a collaborator on. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
import_data_from_another_project_job_request: edgeimpulse_api.models.import_data_from_another_project_job_request.ImportDataFromAnotherProjectJobRequest
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

start_keywords_noise_job

edgeimpulse_api.api.jobs_api.start_keywords_noise_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Add keywords and noise Add keywords and noise data to a project (for getting started guide) Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

start_make_version_public_job

edgeimpulse_api.api.jobs_api.start_make_version_public_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		version_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Version ID', extra={})],
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Make a version public Make a version of a project public. This makes all data and state available (read-only) on a public URL, and allows users to clone this project. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
version_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Version ID’, extra=)]
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

start_original_export_job

edgeimpulse_api.api.jobs_api.start_original_export_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		export_original_data_request: edgeimpulse_api.models.export_original_data_request.ExportOriginalDataRequest,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Export original data Export all the data in the project as it was uploaded to Edge Impulse. Updates are streamed over the websocket API. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
export_original_data_request: edgeimpulse_api.models.export_original_data_request.ExportOriginalDataRequest
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

start_performance_calibration_job

edgeimpulse_api.api.jobs_api.start_performance_calibration_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		start_performance_calibration_request: edgeimpulse_api.models.start_performance_calibration_request.StartPerformanceCalibrationRequest,
		impulse_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description='Impulse ID. If this is unset then the default impulse is used.', extra={})] = None,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Performance Calibration Simulates real world usage and returns performance metrics. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
start_performance_calibration_request: edgeimpulse_api.models.start_performance_calibration_request.StartPerformanceCalibrationRequest
impulse_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description=‘Impulse ID. If this is unset then the default impulse is used.’, extra=)] = None
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

start_post_processing_job

edgeimpulse_api.api.jobs_api.start_post_processing_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		start_post_processing_request: edgeimpulse_api.models.start_post_processing_request.StartPostProcessingRequest,
		impulse_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description='Impulse ID. If this is unset then the default impulse is used.', extra={})] = None,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Post-processing Begins post processing job Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
start_post_processing_request: edgeimpulse_api.models.start_post_processing_request.StartPostProcessingRequest
impulse_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description=‘Impulse ID. If this is unset then the default impulse is used.’, extra=)] = None
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

start_profile_tflite_job

edgeimpulse_api.api.jobs_api.start_profile_tflite_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		profile_tf_lite_request: edgeimpulse_api.models.profile_tf_lite_request.ProfileTfLiteRequest,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Profile TFLite model Takes in a TFLite model and returns the latency, RAM and ROM used for this model. Updates are streamed over the websocket API (or can be retrieved through the /stdout endpoint). Use getProfileTfliteJobResult to get the results when the job is completed. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
profile_tf_lite_request: edgeimpulse_api.models.profile_tf_lite_request.ProfileTfLiteRequest
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

start_restore_job

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

Restore project to version Restore a project to a certain version. This can only applied to a project without data, and will overwrite your impulse and all settings. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
restore_project_request: edgeimpulse_api.models.restore_project_request.RestoreProjectRequest
**kwargs

Return edgeimpulse_api.models.generic_api_response.GenericApiResponse

start_restore_job_from_public

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

Restore project to public version Restore a project to a certain public version. This can only applied to a project without data, and will overwrite your impulse and all settings. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
restore_project_from_public_request: edgeimpulse_api.models.restore_project_from_public_request.RestoreProjectFromPublicRequest
**kwargs

Return edgeimpulse_api.models.generic_api_response.GenericApiResponse

start_retrain_job

edgeimpulse_api.api.jobs_api.start_retrain_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		impulse_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description='Impulse ID. If this is unset then the default impulse is used.', extra={})] = None,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Retrain Retrains the current impulse with the last known parameters. Updates are streamed over the websocket API. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
impulse_id: Annotated[pydantic.types.StrictInt | None, FieldInfo(default=PydanticUndefined, description=‘Impulse ID. If this is unset then the default impulse is used.’, extra=)] = None
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

start_version_job

edgeimpulse_api.api.jobs_api.start_version_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		project_version_request: edgeimpulse_api.models.project_version_request.ProjectVersionRequest,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Version project Create a new version of the project. This stores all data and configuration offsite. If you have access to the enterprise version of Edge Impulse you can store your data in your own storage buckets (only through JWT token authentication). Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
project_version_request: edgeimpulse_api.models.project_version_request.ProjectVersionRequest
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

start_wav_export_job

edgeimpulse_api.api.jobs_api.start_wav_export_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		export_wav_data_request: edgeimpulse_api.models.export_wav_data_request.ExportWavDataRequest,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Export data as WAV Export all the data in the project in WAV format. Updates are streamed over the websocket API. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
export_wav_data_request: edgeimpulse_api.models.export_wav_data_request.ExportWavDataRequest
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

train_anomaly_job

edgeimpulse_api.api.jobs_api.train_anomaly_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		learn_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Learn Block ID, use the impulse functions to retrieve the ID', extra={})],
		start_training_request_anomaly: edgeimpulse_api.models.start_training_request_anomaly.StartTrainingRequestAnomaly,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Train model (Anomaly) Take the output from a DSP block and train an anomaly detection model using K-means or GMM. Updates are streamed over the websocket API. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
learn_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Learn Block ID, use the impulse functions to retrieve the ID’, extra=)]
start_training_request_anomaly: edgeimpulse_api.models.start_training_request_anomaly.StartTrainingRequestAnomaly
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

train_keras_job

edgeimpulse_api.api.jobs_api.train_keras_job(
		self,
		project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})],
		learn_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Learn Block ID, use the impulse functions to retrieve the ID', extra={})],
		set_keras_parameter_request: edgeimpulse_api.models.set_keras_parameter_request.SetKerasParameterRequest,
		**kwargs
) ‑> edgeimpulse_api.models.start_job_response.StartJobResponse

Train model (Keras) Take the output from a DSP block and train a neural network using Keras. Updates are streamed over the websocket API. Parameters

self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Project ID’, extra=)]
learn_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description=‘Learn Block ID, use the impulse functions to retrieve the ID’, extra=)]
set_keras_parameter_request: edgeimpulse_api.models.set_keras_parameter_request.SetKerasParameterRequest
**kwargs

Return edgeimpulse_api.models.start_job_response.StartJobResponse

update_job

edgeimpulse_api.api.jobs_api.update_job(
		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={})],
		update_job_request: edgeimpulse_api.models.update_job_request.UpdateJobRequest,
		**kwargs
) ‑> edgeimpulse_api.models.generic_api_response.GenericApiResponse

Update job Update a job. Parameters

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=)]
update_job_request: edgeimpulse_api.models.update_job_request.UpdateJobRequest
**kwargs

Return edgeimpulse_api.models.generic_api_response.GenericApiResponse

Tools

CLIs

Libraries

Specifications

Protocols

​JobsApi

​Methods

​autotune_dsp_job

​build_on_device_model_job

​build_organization_on_device_model_job

​calculate_data_quality_metrics

​cancel_job

​create_ai_actions_job

​create_preview_ai_actions_job

​create_synthetic_data_job

​download_jobs_logs

​export_keras_block

​export_keras_block_data

​generate_data_explorer_features

​generate_features_job

​get_impulse_migration_job_status

​get_impulse_migration_jobs_logs

​get_job_status

​get_jobs_logs

​get_jobs_summary

​get_profile_tflite_job_result

​get_profile_tflite_job_result_via_post_request

​list_active_jobs

​list_all_jobs

​list_finished_jobs

​optimize_job

​retry_impulse_migration

​set_tuner_primary_job

​start_classify_job

​start_deploy_pretrained_model_job

​start_evaluate_job

​start_import_data_from_project_job

​start_keywords_noise_job

​start_make_version_public_job

​start_original_export_job

​start_performance_calibration_job

​start_post_processing_job

​start_profile_tflite_job

​start_restore_job

​start_restore_job_from_public

​start_retrain_job

​start_version_job

​start_wav_export_job

​train_anomaly_job

​train_keras_job

​update_job

JobsApi

Methods

autotune_dsp_job

build_on_device_model_job

build_organization_on_device_model_job

calculate_data_quality_metrics

cancel_job

create_ai_actions_job

create_preview_ai_actions_job

create_synthetic_data_job

download_jobs_logs

export_keras_block

export_keras_block_data

generate_data_explorer_features

generate_features_job

get_impulse_migration_job_status

get_impulse_migration_jobs_logs

get_job_status

get_jobs_logs

get_jobs_summary

get_profile_tflite_job_result

get_profile_tflite_job_result_via_post_request

list_active_jobs

list_all_jobs

list_finished_jobs

optimize_job

retry_impulse_migration

set_tuner_primary_job

start_classify_job

start_deploy_pretrained_model_job

start_evaluate_job

start_import_data_from_project_job

start_keywords_noise_job

start_make_version_public_job

start_original_export_job

start_performance_calibration_job

start_post_processing_job

start_profile_tflite_job

start_restore_job

start_restore_job_from_public

start_retrain_job

start_version_job

start_wav_export_job

train_anomaly_job

train_keras_job

update_job