Skip to main content

​
KerasConfig

class edgeimpulse_api.models.keras_config.KerasConfig(
		**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.main.BaseModel
  • pydantic.utils.Representation
Class variables
  • Config The type of the None singleton.
  • akida_edge_learning_config: edgeimpulse_api.models.akida_edge_learning_config.AkidaEdgeLearningConfig | None The type of the None singleton.
  • anomaly_capacity: edgeimpulse_api.models.anomaly_capacity.AnomalyCapacity | None The type of the None singleton.
  • augmentation_policy_image: edgeimpulse_api.models.augmentation_policy_image_enum.AugmentationPolicyImageEnum The type of the None singleton.
  • augmentation_policy_spectrogram: edgeimpulse_api.models.augmentation_policy_spectrogram.AugmentationPolicySpectrogram | None The type of the None singleton.
  • auto_class_weights: pydantic.types.StrictBool | None The type of the None singleton.
  • batch_size: pydantic.types.StrictInt | None The type of the None singleton.
  • block_parameters: edgeimpulse_api.models.block_parameters.BlockParameters | None The type of the None singleton.
  • custom_parameters: Dict[str, pydantic.types.StrictStr] | None The type of the None singleton.
  • custom_validation_metadata_key: pydantic.types.StrictStr | None The type of the None singleton.
  • default_batch_size: pydantic.types.StrictInt The type of the None singleton.
  • dependencies: edgeimpulse_api.models.dependency_data.DependencyData The type of the None singleton.
  • last_shown_model_variant: edgeimpulse_api.models.keras_model_variant_enum.KerasModelVariantEnum | None The type of the None singleton.
  • learning_rate: float The type of the None singleton.
  • minimum_confidence_rating: float The type of the None singleton.
  • mode: pydantic.types.StrictStr The type of the None singleton.
  • name: pydantic.types.StrictStr The type of the None singleton.
  • profile_int8: pydantic.types.StrictBool The type of the None singleton.
  • script: pydantic.types.StrictStr The type of the None singleton.
  • selected_model_type: edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum The type of the None singleton.
  • shape: pydantic.types.StrictStr The type of the None singleton.
  • show_advanced_training_settings: pydantic.types.StrictBool The type of the None singleton.
  • show_augmentation_training_settings: pydantic.types.StrictBool The type of the None singleton.
  • skip_embeddings_and_memory: pydantic.types.StrictBool The type of the None singleton.
  • thresholds: List[edgeimpulse_api.models.block_threshold.BlockThreshold] The type of the None singleton.
  • train_test_split: float | None The type of the None singleton.
  • trained: pydantic.types.StrictBool The type of the None singleton.
  • training_cycles: pydantic.types.StrictInt The type of the None singleton.
  • transfer_learning_models: List[edgeimpulse_api.models.transfer_learning_model.TransferLearningModel] The type of the None singleton.
  • type: edgeimpulse_api.models.learn_block_type.LearnBlockType | None The type of the None singleton.
  • use_learned_optimizer: pydantic.types.StrictBool | None The type of the None singleton.
  • visual_layers: List[edgeimpulse_api.models.keras_visual_layer.KerasVisualLayer] The type of the None singleton.

​
Static methods

​
from_dict

edgeimpulse_api.models.keras_config.from_dict(
		obj: dict
) ‑> edgeimpulse_api.models.keras_config.KerasConfig
Create an instance of KerasConfig from a dict Parameters
  • obj: dict
Return edgeimpulse_api.models.keras_config.KerasConfig

​
from_json

edgeimpulse_api.models.keras_config.from_json(
		json_str: str
) ‑> edgeimpulse_api.models.keras_config.KerasConfig
Create an instance of KerasConfig from a JSON string Parameters
  • json_str: str
Return edgeimpulse_api.models.keras_config.KerasConfig

​
mode_validate_enum

edgeimpulse_api.models.keras_config.mode_validate_enum(
		v
)
Parameters
  • v

​
Methods

​
to_dict

edgeimpulse_api.models.keras_config.to_dict(
		self
)
Returns the dictionary representation of the model using alias Parameters
  • self

​
to_json

edgeimpulse_api.models.keras_config.to_json(
		self,
		indent=None
) ‑> str
Returns the JSON representation of the model using alias Parameters
  • self
  • indent=None
Return str

​
to_str

edgeimpulse_api.models.keras_config.to_str(
		self
) ‑> str
Returns the string representation of the model using alias Parameters
  • self
Return str