build config

configbuilder.py

def configs_builder(input_dim, output_dim, layers_configs, training_algorithms, 
                    losses, dropouts, regularizers, 
                    hidden_activations, output_activations, 
                    callbacks, metrics, initializers):
    configs = []
    for layers_config in layers_configs:
        for training_algorithm in training_algorithms:
            for loss in losses:
                for dropout in dropouts:
                    for regularizer in regularizers_v:
                        for hidden_activation in hidden_activations:
                            for output_activation in output_activations:
                                for initializer in initializers:
                                    config = {
                                        'layers': {
                                            'dtype' : 'float32',
                                            'input dim': input_dim,
                                            'number': len(layers_config),
                                            'dims': layers_config,
                                            'names': ['dense'+str(x) for x in range(1, len(layers_config)+1, 1)],
                                            'initializers': [initializer for x in range(len(layers_config))],
                                            'bias initializers': [initializer for x in range(len(layers_config))],
                                            'activations': [hidden_activation for x in range(len(layers_config))],
                                            'kernel regulizers': [regularizer for x in range(len(layers_config))],
                                            'output dim': output_dim,
                                            'output activation' : output_activation,
                                            'ouput initializer' : initializer,
                                            'output bias initializer': initializer,
                                            'output regulizer': regularizer,
                                        },

                                        'compile': {
                                            'optimizer': training_algorithm,
                                            'metrics': metrics,
                                            'loss': loss,
                                            'callbacks': callbacks,
                                        },
                                    }
                                    configs.append(config)
    return configs