classify_sample_response_multiple_variants_all_of module
ClassifySampleResponseMultipleVariantsAllOf
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
results: Optional[List[edgeimpulse_api.models.classify_sample_response_variant_results.ClassifySampleResponseVariantResults]]
sample: edgeimpulse_api.models.raw_sample_data.RawSampleData
window_increase_ms: pydantic.types.StrictInt
window_size_ms: pydantic.types.StrictInt
Static methods
from_dict
Create an instance of ClassifySampleResponseMultipleVariantsAllOf from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.classify_sample_response_multiple_variants_all_of.ClassifySampleResponseMultipleVariantsAllOf
from_json
Create an instance of ClassifySampleResponseMultipleVariantsAllOf from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.classify_sample_response_multiple_variants_all_of.ClassifySampleResponseMultipleVariantsAllOf
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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