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: Optional[List[edgeimpulse_api.models.keras_custom_metric.KerasCustomMetric]]
eon: edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner_tflite.KerasModelMetadataMetricsOnDevicePerformanceInnerTflite
eon_ram_optimized: Optional[edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner_tflite.KerasModelMetadataMetricsOnDevicePerformanceInnerTflite]
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
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