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SetKerasParameterRequest

class edgeimpulse_api.models.set_keras_parameter_request.SetKerasParameterRequest(
		**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 | None 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: float | 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.
  • last_shown_model_variant: edgeimpulse_api.models.keras_model_variant_enum.KerasModelVariantEnum | None The type of the None singleton.
  • learning_rate: float | None The type of the None singleton.
  • minimum_confidence_rating: float | None The type of the None singleton.
  • mode: pydantic.types.StrictStr | None The type of the None singleton.
  • profile_int8: pydantic.types.StrictBool | None The type of the None singleton.
  • script: pydantic.types.StrictStr | None The type of the None singleton.
  • selected_model_type: edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum | None The type of the None singleton.
  • show_advanced_training_settings: pydantic.types.StrictBool | None The type of the None singleton.
  • show_augmentation_training_settings: pydantic.types.StrictBool | None The type of the None singleton.
  • skip_embeddings_and_memory: pydantic.types.StrictBool | None The type of the None singleton.
  • train_test_split: float | None The type of the None singleton.
  • training_cycles: pydantic.types.StrictInt | 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] | None The type of the None singleton.

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Static methods

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from_dict

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

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from_json

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

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mode_validate_enum

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

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Methods

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to_dict

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

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to_json

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

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to_str

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