set_keras_parameter_request

edgeimpulse_api v1.0.0

edgeimpulse_api.models.set_keras_parameter_request module

class edgeimpulse_api.models.set_keras_parameter_request.SetKerasParameterRequest(*, mode: Optional[StrictStr] = None, minimumConfidenceRating: Optional[float] = None, selectedModelType: Optional[KerasModelTypeEnum] = None, script: Optional[StrictStr] = None, visualLayers: Optional[List[KerasVisualLayer]] = None, trainingCycles: Optional[StrictInt] = None, learningRate: Optional[float] = None, trainTestSplit: Optional[float] = None, autoClassWeights: Optional[StrictBool] = None, findLearningRate: Optional[StrictBool] = None, augmentationPolicyImage: Optional[AugmentationPolicyImageEnum] = None, augmentationPolicySpectrogram: Optional[AugmentationPolicySpectrogram] = None, profileInt8: Optional[StrictBool] = None, skipEmbeddingsAndMemory: Optional[StrictBool] = None, akidaEdgeLearningConfig: Optional[AkidaEdgeLearningConfig] = None, customValidationMetadataKey: Optional[StrictStr] = None)

Bases: BaseModel

class Config()

Bases: object

allow_population_by_field_name(_ = Tru_ )

validate_assignment(_ = Tru_ )

akida_edge_learning_config(: Optional[AkidaEdgeLearningConfig )

augmentation_policy_image(: Optional[AugmentationPolicyImageEnum )

augmentation_policy_spectrogram(: Optional[AugmentationPolicySpectrogram )

auto_class_weights(: Optional[StrictBool )

custom_validation_metadata_key(: Optional[StrictStr )

find_learning_rate(: Optional[StrictBool )

classmethod from_dict(obj: dict)

Create an instance of SetKerasParameterRequest from a dict

classmethod from_json(json_str: str)

Create an instance of SetKerasParameterRequest from a JSON string

learning_rate(: Optional[float )

minimum_confidence_rating(: Optional[float )

mode(: Optional[StrictStr )

classmethod mode_validate_enum(v)

profile_int8(: Optional[StrictBool )

script(: Optional[StrictStr )

selected_model_type(: Optional[KerasModelTypeEnum )

skip_embeddings_and_memory(: Optional[StrictBool )

to_dict()

Returns the dictionary representation of the model using alias

to_json()

Returns the JSON representation of the model using alias

to_str()

Returns the string representation of the model using alias

train_test_split(: Optional[float )

training_cycles(: Optional[StrictInt )

visual_layers(: Optional[List[KerasVisualLayer] )

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