Example #1
0
def get_model(model_str, placeholders, numView, num_features, num_nodes,
              num_clusters):
    #model = None
    if model_str == 'arga_ae':
        model = ARGA(placeholders, numView, num_features, num_clusters)

    elif model_str == 'arga_vae':
        model = ARVGA(placeholders, num_features, num_nodes, features_nonzero)

    return model
Example #2
0
def get_model(model_str, placeholders, num_features, num_nodes,
              features_nonzero):
    discriminator = Discriminator()
    d_real = discriminator.construct(placeholders['real_distribution'])
    model = None
    if model_str == 'arga_ae':
        model = ARGA(placeholders, num_features, features_nonzero)
    elif model_str == 'arga_vae':
        model = ARVGA(placeholders, num_features, num_nodes, features_nonzero)

    return d_real, discriminator, model