classify_sample_response_all_of module

ClassifySampleResponseAllOf

class edgeimpulse_api.models.classify_sample_response_all_of.ClassifySampleResponseAllOf(
		**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

  • already_in_database: pydantic.types.StrictBool

  • classifications: List[edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification]

  • sample: edgeimpulse_api.models.raw_sample_data.RawSampleData

  • warning: Optional[pydantic.types.StrictStr]

  • window_increase_ms: pydantic.types.StrictInt

  • window_size_ms: pydantic.types.StrictInt

Static methods

from_dict

edgeimpulse_api.models.classify_sample_response_all_of.from_dict(
		obj: dict
)> edgeimpulse_api.models.classify_sample_response_all_of.ClassifySampleResponseAllOf

Create an instance of ClassifySampleResponseAllOf from a dict

Parameters

  • obj: dict

Return

edgeimpulse_api.models.classify_sample_response_all_of.ClassifySampleResponseAllOf

from_json

edgeimpulse_api.models.classify_sample_response_all_of.from_json(
		json_str: str
)> edgeimpulse_api.models.classify_sample_response_all_of.ClassifySampleResponseAllOf

Create an instance of ClassifySampleResponseAllOf from a JSON string

Parameters

  • json_str: str

Return

edgeimpulse_api.models.classify_sample_response_all_of.ClassifySampleResponseAllOf

Methods

to_dict

edgeimpulse_api.models.classify_sample_response_all_of.to_dict(
		self
)

Returns the dictionary representation of the model using alias

Parameters

  • self

to_json

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

Returns the JSON representation of the model using alias

Parameters

  • self

Return

str

to_str

edgeimpulse_api