keras_model_metadata_metrics_on_device_performance_inner module

KerasModelMetadataMetricsOnDevicePerformanceInner

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

• custom_metrics: List[edgeimpulse_api.models.keras_custom_metric.KerasCustomMetric] | None

• eon: edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner_tflite.KerasModelMetadataMetricsOnDevicePerformanceInnerTflite

• eon_ram_optimized: edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner_tflite.KerasModelMetadataMetricsOnDevicePerformanceInnerTflite | None

• is_default: pydantic.types.StrictBool

• latency: float

• mcu: pydantic.types.StrictStr

• name: pydantic.types.StrictStr

• tflite: edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner_tflite.KerasModelMetadataMetricsOnDevicePerformanceInnerTflite

Static methods

from_dict

Create an instance of KerasModelMetadataMetricsOnDevicePerformanceInner from a dict

Parameters

• obj: dict

Return

edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner

from_json

Create an instance of KerasModelMetadataMetricsOnDevicePerformanceInner from a JSON string

Parameters

• json_str: str

Return

edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner

Methods

to_dict

Returns the dictionary representation of the model using alias

Parameters

• self

to_json

Returns the JSON representation of the model using alias

Parameters

• self

• indent=None

Return

str

to_str

Returns the string representation of the model using alias

Parameters

• self

Return

str