edgeimpulse_api.models.keras_model_metadata_metrics

Classes

KerasModelMetadataMetrics

edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics(
	**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`
`accuracy`	`float \| None`
`additional_metrics`	`List[edgeimpulse_api.models.additional_metric.AdditionalMetric]`
`confusion_matrix`	`List[List[float]]`
`is_supported_on_mcu`	`pydantic.v1.types.StrictBool`
`loss`	`float`
`mcu_support_error`	`pydantic.v1.types.StrictStr \| None`
`on_device_performance`	`List[edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner]`
`predictions`	`List[edgeimpulse_api.models.model_prediction.ModelPrediction] \| None`
`profiling_job_failed`	`pydantic.v1.types.StrictBool \| None`
`profiling_job_id`	`pydantic.v1.types.StrictInt \| None`
`report`	`Dict[str, Any]`
`type`	`edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum`
`visualization`	`pydantic.v1.types.StrictStr`

STATIC METHODS

from_dict

edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics.from_dict(
	obj: dict
) ‑> edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics

Create an instance of KerasModelMetadataMetrics from a dict

Parameters
`obj`	`dict`

Returns
`edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics`

from_json

edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics.from_json(
	json_str: str
) ‑> edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics

Create an instance of KerasModelMetadataMetrics from a JSON string

Parameters
`json_str`	`str`

Returns
`edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics`

visualization_validate_enum

edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics.visualization_validate_enum(
	v
)

Parameters
`v`

METHODS

to_dict

edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics.to_dict(
	self
)

Returns the dictionary representation of the model using alias

Parameters
`self`

to_json

edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics.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.KerasModelMetadataMetrics.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

Classes

KerasModelMetadataMetrics

from_dict

from_json

visualization_validate_enum

to_dict

to_json

to_str

​Classes

​KerasModelMetadataMetrics

​from_dict

​from_json

​visualization_validate_enum

​to_dict

​to_json

​to_str

Classes

KerasModelMetadataMetrics

from_dict

from_json

visualization_validate_enum

to_dict

to_json

to_str