sfaira.models.embedding.ModelKerasVaeVamp

class sfaira.models.embedding.ModelKerasVaeVamp(in_dim, latent_dim=(256, 128, (32, 32), 128, 256), dropout_rate=0.1, l1_coef: float = 0.0, l2_coef: float = 0.0, batch_size_u: int = 500, batchnorm: bool = False, activation='tanh', init='glorot_uniform', output_layer='nb')

Attributes

version

Methods

predict_embedding(x[, variational])
predict_reconstructed(x)