classify_sample_response_variant_results module
ClassifySampleResponseVariantResults
class edgeimpulse_api.models.classify_sample_response_variant_results.ClassifySampleResponseVariantResults(
**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
The type of the None singleton.classifications: List[edgeimpulse_api.models.classify_sample_response_classification.ClassifySampleResponseClassification]
The type of the None singleton.variant: edgeimpulse_api.models.keras_model_variant_enum.KerasModelVariantEnum
The type of the None singleton.
Static methods
from_dict
edgeimpulse_api.models.classify_sample_response_variant_results.from_dict(
obj: dict
) ‑> edgeimpulse_api.models.classify_sample_response_variant_results.ClassifySampleResponseVariantResults
Create an instance of ClassifySampleResponseVariantResults from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.classify_sample_response_variant_results.ClassifySampleResponseVariantResults
from_json
edgeimpulse_api.models.classify_sample_response_variant_results.from_json(
json_str: str
) ‑> edgeimpulse_api.models.classify_sample_response_variant_results.ClassifySampleResponseVariantResults
Create an instance of ClassifySampleResponseVariantResults from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.classify_sample_response_variant_results.ClassifySampleResponseVariantResults
Methods
to_dict
edgeimpulse_api.models.classify_sample_response_variant_results.to_dict(
self
)
Returns the dictionary representation of the model using alias
Parameters
self
to_json
edgeimpulse_api.models.classify_sample_response_variant_results.to_json(
self,
indent=None
) ‑> str
Returns the JSON representation of the model using alias
Parameters
self
indent=None
Return
str
to_str
edgeimpulse_api.models.classify_sample_response_variant_results.to_str(
self
) ‑> str
Returns the string representation of the model using alias
Parameters
self
Return
str
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