Documentation IndexFetch the complete documentation index at: /llms.txtUse this file to discover all available pages before exploring further.
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification( **data: Any )
**data
Any
pydantic.v1.main.BaseModel
pydantic.v1.utils.Representation
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]
is_multi_label
pydantic.v1.types.StrictBool | None
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
thresholds
List[edgeimpulse_api.models.block_threshold.BlockThreshold]
edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification.from_dict( obj: dict ) ‑> edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification
obj
dict
edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification
edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification.from_json( json_str: str ) ‑> edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification
json_str
str
edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification.to_dict( self )
self
edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification.to_json( self, indent=None ) ‑> str
indent=None
edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification.to_str( self ) ‑> str
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