keras_model_metadata_metrics_on_device_performance_inner module#

class edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner(
*,
mcu: StrictStr,
name: StrictStr,
isDefault: StrictBool,
latency: float,
tflite: KerasModelMetadataMetricsOnDevicePerformanceInnerTflite,
eon: KerasModelMetadataMetricsOnDevicePerformanceInnerTflite,
eon_ram_optimized: KerasModelMetadataMetricsOnDevicePerformanceInnerTflite | None = None,
customMetrics: List[KerasCustomMetric] | None = None,
)[source]#

Bases: BaseModel

class Config[source]#

Bases: object

allow_population_by_field_name = True#
validate_assignment = False#
custom_metrics: List[KerasCustomMetric] | None#
eon: KerasModelMetadataMetricsOnDevicePerformanceInnerTflite#
eon_ram_optimized: KerasModelMetadataMetricsOnDevicePerformanceInnerTflite | None#
classmethod from_dict(
obj: dict,
) → KerasModelMetadataMetricsOnDevicePerformanceInner[source]#

Create an instance of KerasModelMetadataMetricsOnDevicePerformanceInner from a dict

classmethod from_json(
json_str: str,
) → KerasModelMetadataMetricsOnDevicePerformanceInner[source]#

Create an instance of KerasModelMetadataMetricsOnDevicePerformanceInner from a JSON string

is_default: StrictBool#
latency: float#
mcu: StrictStr#
name: StrictStr#
tflite: KerasModelMetadataMetricsOnDevicePerformanceInnerTflite#
to_dict()[source]#

Returns the dictionary representation of the model using alias

to_json() → str[source]#

Returns the JSON representation of the model using alias

to_str() → str[source]#

Returns the string representation of the model using alias