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
Create an instance of KerasModelMetadataMetricsOnDevicePerformanceInner from a dict
Parameters
obj: dict
Return
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
Return
edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner
Returns the dictionary representation of the model using alias
Parameters
self
Returns the JSON representation of the model using alias
Parameters
self
Return
str
Returns the string representation of the model using alias
Parameters
self
Return
str