project_info_response_all_of module
ProjectInfoResponseAllOf
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
Parameters
**data: Any
Bases
pydantic.main.BaseModel
pydantic.utils.Representation
Class variables
Config
acquisition_settings: edgeimpulse_api.models.project_info_response_all_of_acquisition_settings.ProjectInfoResponseAllOfAcquisitionSettings
auto_segmenter_job_notification_uids: List[pydantic.types.StrictInt]
collaborators: List[edgeimpulse_api.models.user.User]
compute_time: edgeimpulse_api.models.project_info_response_all_of_compute_time.ProjectInfoResponseAllOfComputeTime
csv_import_config: Optional[Dict[str, Any]]
data_summary: edgeimpulse_api.models.project_data_summary.ProjectDataSummary
data_summary_per_category: edgeimpulse_api.models.project_info_response_all_of_data_summary_per_category.ProjectInfoResponseAllOfDataSummaryPerCategory
default_impulse_id: Optional[pydantic.types.StrictInt]
deploy_settings: edgeimpulse_api.models.project_info_response_all_of_deploy_settings.ProjectInfoResponseAllOfDeploySettings
development_keys: edgeimpulse_api.models.development_keys.DevelopmentKeys
devices: List[edgeimpulse_api.models.device.Device]
dsp_job_notification_uids: List[pydantic.types.StrictInt]
dsp_page_size: Optional[pydantic.types.StrictInt]
experiments: List[edgeimpulse_api.models.project_info_response_all_of_experiments.ProjectInfoResponseAllOfExperiments]
export_job_notification_uids: List[pydantic.types.StrictInt]
has_new_training_data: pydantic.types.StrictBool
impulse: edgeimpulse_api.models.project_info_response_all_of_impulse.ProjectInfoResponseAllOfImpulse
in_pretrained_model_flow: pydantic.types.StrictBool
latency_devices: List[edgeimpulse_api.models.latency_device.LatencyDevice]
model_testing_job_notification_uids: List[pydantic.types.StrictInt]
notifications: List[pydantic.types.StrictStr]
performance: edgeimpulse_api.models.project_info_response_all_of_performance.ProjectInfoResponseAllOfPerformance
project: edgeimpulse_api.models.project.Project
readme: Optional[edgeimpulse_api.models.project_info_response_all_of_readme.ProjectInfoResponseAllOfReadme]
show_create_first_impulse: pydantic.types.StrictBool
show_getting_started_wizard: edgeimpulse_api.models.project_info_response_all_of_show_getting_started_wizard.ProjectInfoResponseAllOfShowGettingStartedWizard
show_sensor_data_in_acquisition_graph: pydantic.types.StrictBool
studio_url: pydantic.types.StrictStr
target_constraints: Optional[edgeimpulse_api.models.target_constraints.TargetConstraints]
train_job_notification_uids: List[pydantic.types.StrictInt]
urls: edgeimpulse_api.models.project_info_response_all_of_urls.ProjectInfoResponseAllOfUrls
Static methods
from_dict
Create an instance of ProjectInfoResponseAllOf from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.project_info_response_all_of.ProjectInfoResponseAllOf
from_json
Create an instance of ProjectInfoResponseAllOf from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.project_info_response_all_of.ProjectInfoResponseAllOf
Methods
to_dict
Returns the dictionary representation of the model using alias
Parameters
self
to_json
Returns the JSON representation of the model using alias
Parameters
self
indent=None
Return
str
to_str
Returns the string representation of the model using alias
Parameters
self
Return
str
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