edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner

Classes

KerasModelMetadataMetricsOnDevicePerformanceInner

edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner(
	**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`
`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`
`has_performance`	`pydantic.v1.types.StrictBool`
`is_default`	`pydantic.v1.types.StrictBool`
`latency`	`float`
`mcu`	`pydantic.v1.types.StrictStr`
`name`	`pydantic.v1.types.StrictStr`
`profiling_error`	`pydantic.v1.types.StrictStr \| None`
`tflite`	`edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner_tflite.KerasModelMetadataMetricsOnDevicePerformanceInnerTflite`

STATIC METHODS

from_dict

edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner.from_dict(
	obj: dict
) ‑> edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner

Create an instance of KerasModelMetadataMetricsOnDevicePerformanceInner from a dict

Parameters
`obj`	`dict`

Returns
`edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner`

from_json

edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner.from_json(
	json_str: str
) ‑> edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner

Create an instance of KerasModelMetadataMetricsOnDevicePerformanceInner from a JSON string

Parameters
`json_str`	`str`

Returns
`edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner`

METHODS

to_dict

edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner.to_dict(
	self
)

Returns the dictionary representation of the model using alias

Parameters
`self`

to_json

edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner.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_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner.to_str(
	self
) ‑> str

Returns the string representation of the model using alias

Parameters
`self`

Returns
`str`

OVERVIEW

CLIs

LIBRARIES

SPECIFICATIONS

PROTOCOLS

edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner

Classes

KerasModelMetadataMetricsOnDevicePerformanceInner

from_dict

from_json

to_dict

to_json

to_str

OVERVIEW

CLIs

LIBRARIES

SPECIFICATIONS

PROTOCOLS

​Classes

​KerasModelMetadataMetricsOnDevicePerformanceInner

​from_dict

​from_json

​to_dict

​to_json

​to_str

Classes

KerasModelMetadataMetricsOnDevicePerformanceInner

from_dict

from_json

to_dict

to_json

to_str