keras_model_metadata module
KerasModelMetadata
class 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.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.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.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.
Static methods
from_dict
edgeimpulse_api.models.keras_model_metadata.from_dict(
obj: dict
) ‑> edgeimpulse_api.models.keras_model_metadata.KerasModelMetadata
Create an instance of KerasModelMetadata from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.keras_model_metadata.KerasModelMetadata
from_json
edgeimpulse_api.models.keras_model_metadata.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
Return
edgeimpulse_api.models.keras_model_metadata.KerasModelMetadata
mode_validate_enum
edgeimpulse_api.models.keras_model_metadata.mode_validate_enum(
v
)
Parameters
v
Methods
to_dict
edgeimpulse_api.models.keras_model_metadata.to_dict(
self
)
Returns the dictionary representation of the model using alias
Parameters
self
to_json
edgeimpulse_api.models.keras_model_metadata.to_json(
self,
indent=None
) ‑> str
Returns the JSON representation of the model using alias
Parameters
self
indent=None
Return
str
to_str
edgeimpulse_api.models.keras_model_metadata.to_str(
self
) ‑> str
Returns the string representation of the model using alias
Parameters
self
Return
str
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