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: Optional[List[edgeimpulse_api.models.anomaly_result.AnomalyResult]]
details: Optional[List[edgeimpulse_api.models.classify_sample_response_classification_details.ClassifySampleResponseClassificationDetails]]
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: Optional[edgeimpulse_api.models.object_detection_last_layer.ObjectDetectionLastLayer]
result: List[Dict[str, float]]
structured_result: Optional[List[edgeimpulse_api.models.structured_classify_result.StructuredClassifyResult]]
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
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