dsp_metadata module
DSPMetadata
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]
feature_count: pydantic.types.StrictInt
feature_labels: List[pydantic.types.StrictStr] | None
fft_used: List[pydantic.types.StrictInt] | None
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: float | None
window_count: pydantic.types.StrictInt
window_increase_ms: pydantic.types.StrictInt
window_size_ms: pydantic.types.StrictInt
Static methods
from_dict
Create an instance of DSPMetadata from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.dsp_metadata.DSPMetadata
from_json
Create an instance of DSPMetadata from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.dsp_metadata.DSPMetadata
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
Last updated