keras_response module#

class edgeimpulse_api.models.keras_response.KerasResponse( *, success: StrictBool, error: StrictStr | None = None, dependencies: DependencyData, trained: StrictBool, name: StrictStr, type: LearnBlockType | None = None, script: StrictStr, minimumConfidenceRating: float, selectedModelType: KerasModelTypeEnum, mode: StrictStr, visualLayers: List[KerasVisualLayer], trainingCycles: StrictInt, learningRate: float, batchSize: StrictInt | None = None, defaultBatchSize: StrictInt, shape: StrictStr, trainTestSplit: float | None = None, autoClassWeights: StrictBool | None = None, useLearnedOptimizer: StrictBool | None = None, augmentationPolicyImage: AugmentationPolicyImageEnum, augmentationPolicySpectrogram: AugmentationPolicySpectrogram | None = None, transferLearningModels: List[TransferLearningModel], profileInt8: StrictBool, skipEmbeddingsAndMemory: StrictBool, akidaEdgeLearningConfig: AkidaEdgeLearningConfig | None = None, customValidationMetadataKey: StrictStr | None = None, showAdvancedTrainingSettings: StrictBool, showAugmentationTrainingSettings: StrictBool, customParameters: Dict[str, StrictStr] | None = None, anomalyCapacity: AnomalyCapacity | None = None, lastShownModelVariant: KerasModelVariantEnum | None = None, lastShownModelEngine: ModelEngineShortEnum | None = None, )[source]#

Bases: BaseModel

class Config[source]#

Bases: object

allow_population_by_field_name = True#

validate_assignment = False#

akida_edge_learning_config: AkidaEdgeLearningConfig | None#

anomaly_capacity: AnomalyCapacity | None#

augmentation_policy_image: AugmentationPolicyImageEnum#

augmentation_policy_spectrogram: AugmentationPolicySpectrogram | None#

auto_class_weights: StrictBool | None#

batch_size: StrictInt | None#

custom_parameters: Dict[str, StrictStr] | None#

custom_validation_metadata_key: StrictStr | None#

default_batch_size: StrictInt#

dependencies: DependencyData#

error: StrictStr | None#

classmethod from_dict( obj: dict, ) → KerasResponse[source]#: Create an instance of KerasResponse from a dict

classmethod from_json( json_str: str, ) → KerasResponse[source]#: Create an instance of KerasResponse from a JSON string

last_shown_model_engine: ModelEngineShortEnum | None#

last_shown_model_variant: KerasModelVariantEnum | None#

learning_rate: float#

minimum_confidence_rating: float#

mode: StrictStr#

classmethod mode_validate_enum(v)[source]#

name: StrictStr#

profile_int8: StrictBool#

script: StrictStr#

selected_model_type: KerasModelTypeEnum#

shape: StrictStr#

show_advanced_training_settings: StrictBool#

show_augmentation_training_settings: StrictBool#

skip_embeddings_and_memory: StrictBool#

success: StrictBool#

to_dict()[source]#: Returns the dictionary representation of the model using alias

to_json() → str[source]#: Returns the JSON representation of the model using alias

to_str() → str[source]#: Returns the string representation of the model using alias

train_test_split: float | None#

trained: StrictBool#

training_cycles: StrictInt#

transfer_learning_models: List[TransferLearningModel]#

type: LearnBlockType | None#

use_learned_optimizer: StrictBool | None#

visual_layers: List[KerasVisualLayer]#