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InferenceSummaryMetrics

class edgeimpulse_api.models.inference_summary_metrics.InferenceSummaryMetrics(
		**data: Any
)
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.
  • key: pydantic.types.StrictStr The type of the None singleton.
  • value: float The type of the None singleton.

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Static methods

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from_dict

edgeimpulse_api.models.inference_summary_metrics.from_dict(
		obj: dict
) ‑> edgeimpulse_api.models.inference_summary_metrics.InferenceSummaryMetrics
Create an instance of InferenceSummaryMetrics from a dict Parameters
  • obj: dict
Return edgeimpulse_api.models.inference_summary_metrics.InferenceSummaryMetrics

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from_json

edgeimpulse_api.models.inference_summary_metrics.from_json(
		json_str: str
) ‑> edgeimpulse_api.models.inference_summary_metrics.InferenceSummaryMetrics
Create an instance of InferenceSummaryMetrics from a JSON string Parameters
  • json_str: str
Return edgeimpulse_api.models.inference_summary_metrics.InferenceSummaryMetrics

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Methods

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to_dict

edgeimpulse_api.models.inference_summary_metrics.to_dict(
		self
)
Returns the dictionary representation of the model using alias Parameters
  • self

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to_json

edgeimpulse_api.models.inference_summary_metrics.to_json(
		self,
		indent=None
) ‑> str
Returns the JSON representation of the model using alias Parameters
  • self
  • indent=None
Return str

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to_str

edgeimpulse_api.models.inference_summary_metrics.to_str(
		self
) ‑> str
Returns the string representation of the model using alias Parameters
  • self
Return str