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
created: datetime.datetime
dsp_config: Dict[str, pydantic.types.StrictStr]
error: Optional[pydantic.types.StrictStr]
feature_count: pydantic.types.StrictInt
feature_labels: Optional[List[pydantic.types.StrictStr]]
fft_used: Optional[List[pydantic.types.StrictInt]]
frequency: float
included_samples: List[edgeimpulse_api.models.dsp_metadata_included_samples_inner.DSPMetadataIncludedSamplesInner]
labels: List[pydantic.types.StrictStr]
output_config: edgeimpulse_api.models.dsp_metadata_output_config.DSPMetadataOutputConfig
pad_zeros: pydantic.types.StrictBool
resampling_algorithm_version: Optional[float]
success: pydantic.types.StrictBool
window_count: pydantic.types.StrictInt
window_increase_ms: pydantic.types.StrictInt
window_size_ms: pydantic.types.StrictInt
Create an instance of DSPMetadataResponse from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.dsp_metadata_response.DSPMetadataResponse
Create an instance of DSPMetadataResponse from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.dsp_metadata_response.DSPMetadataResponse
Returns the dictionary representation of the model using alias
Parameters
self
Returns the JSON representation of the model using alias
Parameters
self
Return
str
Returns the string representation of the model using alias
Parameters
self
Return
str