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KerasModelMetadataResponse

class edgeimpulse_api.models.keras_model_metadata_response.KerasModelMetadataResponse(
		**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.
  • available_model_types: List[edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum] The type of the None singleton.
  • class_names: List[pydantic.types.StrictStr] The type of the None singleton.
  • created: datetime.datetime The type of the None singleton.
  • error: pydantic.types.StrictStr | None The type of the None singleton.
  • has_trained_model: pydantic.types.StrictBool The type of the None singleton.
  • image_input_scaling: edgeimpulse_api.models.image_input_scaling.ImageInputScaling The type of the None singleton.
  • labels: List[pydantic.types.StrictStr] The type of the None singleton.
  • layers: List[edgeimpulse_api.models.keras_model_layer.KerasModelLayer] The type of the None singleton.
  • mode: pydantic.types.StrictStr The type of the None singleton.
  • model_validation_metrics: List[edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics] The type of the None singleton.
  • object_detection_last_layer: edgeimpulse_api.models.object_detection_last_layer.ObjectDetectionLastLayer | None The type of the None singleton.
  • recommended_model_type: edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum The type of the None singleton.
  • success: pydantic.types.StrictBool The type of the None singleton.
  • tensorboard_graphs: List[edgeimpulse_api.models.keras_model_metadata_graph.KerasModelMetadataGraph] | None The type of the None singleton.
  • thresholds: List[edgeimpulse_api.models.block_threshold.BlockThreshold] The type of the None singleton.

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Static methods

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from_dict

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

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from_json

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

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mode_validate_enum

edgeimpulse_api.models.keras_model_metadata_response.mode_validate_enum(
		v
)
Parameters
  • v

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Methods

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to_dict

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

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to_json

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