edgeimpulse_api.models.keras_model_metadata

Classes

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
`**data`	`Any`

Bases
`pydantic.v1.main.BaseModel`
`pydantic.v1.utils.Representation`

Class variables
`Config`
`available_model_types`	`List[edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum]`
`class_names`	`List[pydantic.v1.types.StrictStr]`
`created`	`datetime.datetime`
`has_trained_model`	`pydantic.v1.types.StrictBool`
`image_input_scaling`	`edgeimpulse_api.models.image_input_scaling.ImageInputScaling`
`labels`	`List[pydantic.v1.types.StrictStr]`
`layers`	`List[edgeimpulse_api.models.keras_model_layer.KerasModelLayer]`
`mode`	`edgeimpulse_api.models.keras_model_mode.KerasModelMode`
`model_validation_metrics`	`List[edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics]`
`object_detection_last_layer`	`edgeimpulse_api.models.object_detection_last_layer.ObjectDetectionLastLayer \| None`
`recommended_model_type`	`edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum`
`tensorboard_graphs`	`List[edgeimpulse_api.models.keras_model_metadata_graph.KerasModelMetadataGraph] \| None`
`thresholds`	`List[edgeimpulse_api.models.block_threshold.BlockThreshold]`

STATIC METHODS

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
`obj`	`dict`

Returns
`edgeimpulse_api.models.keras_model_metadata.KerasModelMetadata`

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_str`	`str`

Returns
`edgeimpulse_api.models.keras_model_metadata.KerasModelMetadata`

METHODS

to_dict

edgeimpulse_api.models.keras_model_metadata.KerasModelMetadata.to_dict(
	self
)

Returns the dictionary representation of the model using alias

Parameters
`self`

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`

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`

OVERVIEW

CLIs

LIBRARIES

SPECIFICATIONS

PROTOCOLS

Classes

KerasModelMetadata

from_dict

from_json

to_dict

to_json

to_str

​Classes

​KerasModelMetadata

​from_dict

​from_json

​to_dict

​to_json

​to_str

Classes

KerasModelMetadata

from_dict

from_json

to_dict

to_json

to_str