Source code for pythae.models.miwae.miwae_config

from pydantic.dataclasses import dataclass

from ..vae import VAEConfig


[docs]@dataclass class MIWAEConfig(VAEConfig): """Multiply IWAE model config class. Parameters: input_dim (tuple): The input_data dimension. latent_dim (int): The latent space dimension. Default: None. reconstruction_loss (str): The reconstruction loss to use ['bce', 'mse']. Default: 'mse' number_gradient_estimates (int): Number of (M-)estimates to use for the gradient estimate. Default: 5 number_samples (int): Number of samples to use on the Monte-Carlo estimation. Default: 10 """ number_gradient_estimates: int = 5 number_samples: int = 10