model_variant_stats module
ModelVariantStats
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
accuracy: edgeimpulse_api.models.evaluate_result_value.EvaluateResultValue
classification_labels: List[pydantic.types.StrictStr]
confusion_matrix: Dict[str, Dict[str, Dict[str, Any]]]
learn_block_id: pydantic.types.StrictInt
learn_block_type: edgeimpulse_api.models.learn_block_type.LearnBlockType
model_type: edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum
total_correct_window_count: Optional[edgeimpulse_api.models.evaluate_result_value.EvaluateResultValue]
total_window_count: Optional[pydantic.types.StrictInt]
training_labels: List[pydantic.types.StrictStr]
Static methods
from_dict
Create an instance of ModelVariantStats from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.model_variant_stats.ModelVariantStats
from_json
Create an instance of ModelVariantStats from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.model_variant_stats.ModelVariantStats
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
Last updated