classify_sample_response_classification module

ClassifySampleResponseClassification

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

• anomaly_result: List[edgeimpulse_api.models.anomaly_result.AnomalyResult] | None

• details: List[edgeimpulse_api.models.classify_sample_response_classification_details.ClassifySampleResponseClassificationDetails] | None

• expected_labels: List[edgeimpulse_api.models.structured_label.StructuredLabel]

• learn_block: edgeimpulse_api.models.impulse_learn_block.ImpulseLearnBlock

• minimum_confidence_rating: float

• object_detection_last_layer: edgeimpulse_api.models.object_detection_last_layer.ObjectDetectionLastLayer | None

• result: List[Dict[str, float]]

• structured_result: List[edgeimpulse_api.models.structured_classify_result.StructuredClassifyResult] | None

Static methods

from_dict

Create an instance of ClassifySampleResponseClassification from a dict

Parameters

• obj: dict

Return

edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification

from_json

Create an instance of ClassifySampleResponseClassification from a JSON string

Parameters

• json_str: str

Return

edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification

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