inference_history_aggregate module
InferenceHistoryAggregate
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.device_id: pydantic.types.StrictStr
The type of the None singleton.device_name: pydantic.types.StrictStr
The type of the None singleton.means: List[edgeimpulse_api.models.inference_summary_metrics.InferenceSummaryMetrics]
The type of the None singleton.metrics: List[edgeimpulse_api.models.inference_summary_metrics.InferenceSummaryMetrics]
The type of the None singleton.standard_deviations: List[edgeimpulse_api.models.inference_summary_metrics.InferenceSummaryMetrics]
The type of the None singleton.total_classifications: List[edgeimpulse_api.models.inference_summary_metrics.InferenceSummaryMetrics]
The type of the None singleton.total_inferences: float
The type of the None singleton.
Static methods
from_dict
Create an instance of InferenceHistoryAggregate from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.inference_history_aggregate.InferenceHistoryAggregate
from_json
Create an instance of InferenceHistoryAggregate from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.inference_history_aggregate.InferenceHistoryAggregate
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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