dsp_run_response_with_sample module
DspRunResponseWithSample
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
can_profile_performance: pydantic.types.StrictBool
error: Optional[pydantic.types.StrictStr]
features: List[float]
graphs: List[edgeimpulse_api.models.dsp_run_graph.DspRunGraph]
label_at_end_of_window: Optional[pydantic.types.StrictStr]
labels: Optional[List[pydantic.types.StrictStr]]
performance: Optional[edgeimpulse_api.models.dsp_run_response_all_of_performance.DspRunResponseAllOfPerformance]
sample: edgeimpulse_api.models.raw_sample_data.RawSampleData
state_string: Optional[pydantic.types.StrictStr]
success: pydantic.types.StrictBool
Static methods
from_dict
Create an instance of DspRunResponseWithSample from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.dsp_run_response_with_sample.DspRunResponseWithSample
from_json
Create an instance of DspRunResponseWithSample from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.dsp_run_response_with_sample.DspRunResponseWithSample
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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