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Classes

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KerasModelMetadata

edgeimpulse_api.models.keras_model_metadata.KerasModelMetadata(
	**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
**dataAny
Bases
pydantic.v1.main.BaseModel
pydantic.v1.utils.Representation
Class variables
Config
available_model_typesList[edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum]
class_namesList[pydantic.v1.types.StrictStr]
createddatetime.datetime
has_trained_modelpydantic.v1.types.StrictBool
image_input_scalingedgeimpulse_api.models.image_input_scaling.ImageInputScaling
labelsList[pydantic.v1.types.StrictStr]
layersList[edgeimpulse_api.models.keras_model_layer.KerasModelLayer]
modepydantic.v1.types.StrictStr
model_validation_metricsList[edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics]
object_detection_last_layeredgeimpulse_api.models.object_detection_last_layer.ObjectDetectionLastLayer | None
recommended_model_typeedgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum
tensorboard_graphsList[edgeimpulse_api.models.keras_model_metadata_graph.KerasModelMetadataGraph] | None
thresholdsList[edgeimpulse_api.models.block_threshold.BlockThreshold]
STATIC METHODS

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from_dict

edgeimpulse_api.models.keras_model_metadata.KerasModelMetadata.from_dict(
	obj: dict
) ‑> edgeimpulse_api.models.keras_model_metadata.KerasModelMetadata
Create an instance of KerasModelMetadata from a dict
Parameters
objdict
Returns
edgeimpulse_api.models.keras_model_metadata.KerasModelMetadata

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from_json

edgeimpulse_api.models.keras_model_metadata.KerasModelMetadata.from_json(
	json_str: str
) ‑> edgeimpulse_api.models.keras_model_metadata.KerasModelMetadata
Create an instance of KerasModelMetadata from a JSON string
Parameters
json_strstr
Returns
edgeimpulse_api.models.keras_model_metadata.KerasModelMetadata

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mode_validate_enum

edgeimpulse_api.models.keras_model_metadata.KerasModelMetadata.mode_validate_enum(
	v
)
Parameters
v
METHODS

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to_dict

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

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to_str

edgeimpulse_api.models.keras_model_metadata.KerasModelMetadata.to_str(
	self
) ‑> str
Returns the string representation of the model using alias
Parameters
self
Returns
str