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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