organization_pipeline_feeding_into_dataset module

OrganizationPipelineFeedingIntoDataset

class edgeimpulse_api.models.organization_pipeline_feeding_into_dataset.OrganizationPipelineFeedingIntoDataset(
		**data: Any
)

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

  • dataset: pydantic.types.StrictStr

  • dataset_link: pydantic.types.StrictStr

  • item_count: pydantic.types.StrictInt

  • item_count_checklist_error: pydantic.types.StrictInt

  • item_count_checklist_ok: pydantic.types.StrictInt

Static methods

from_dict

edgeimpulse_api.models.organization_pipeline_feeding_into_dataset.from_dict(
		obj: dict
)> edgeimpulse_api.models.organization_pipeline_feeding_into_dataset.OrganizationPipelineFeedingIntoDataset

Create an instance of OrganizationPipelineFeedingIntoDataset from a dict

Parameters

  • obj: dict

Return

edgeimpulse_api.models.organization_pipeline_feeding_into_dataset.OrganizationPipelineFeedingIntoDataset

from_json

edgeimpulse_api.models.organization_pipeline_feeding_into_dataset.from_json(
		json_str: str
)> edgeimpulse_api.models.organization_pipeline_feeding_into_dataset.OrganizationPipelineFeedingIntoDataset

Create an instance of OrganizationPipelineFeedingIntoDataset from a JSON string

Parameters

  • json_str: str

Return

edgeimpulse_api.models.organization_pipeline_feeding_into_dataset.OrganizationPipelineFeedingIntoDataset

Methods

to_dict

edgeimpulse_api.models.organization_pipeline_feeding_into_dataset.to_dict(
		self
)

Returns the dictionary representation of the model using alias

Parameters

  • self

to_json

edgeimpulse_api.models.organization_pipeline_feeding_into_dataset.to_json(
		self
)> str

Returns the JSON representation of the model using alias

Parameters

  • self

Return

str

to_str

edgeimpulse_api.models.organization_pipeline_feeding_into_dataset.to_str(
		self
)