ea80e4bf2033628822e2b0f92e2e373d1b3c147b,fancyimpute/auto_encoder.py,,make_network,#,47

Before Change

        // which is smaller than the input -- a bottleneck to force
        // generalization
        hidden_layer_sizes = [
            int(np.ceil(n_dims * (2.0 ** exponent)))
            for exponent in range(4, -2, -1)
        ]
        print("Hidden layer sizes: %s" % (hidden_layer_sizes,))

After Change

        // mask of missing values and then transform down to a layer
        // which is smaller than the input -- a bottleneck to force
        // generalization
        hidden_layer_sizes = [
            8 * n_dims,
            2 * n_dims,
            int(np.ceil(0.5 * n_dims)),
        ]
        print("Hidden layer sizes: %s" % (hidden_layer_sizes,))

    nn = Sequential()
    first_layer_size = hidden_layer_sizes[0]

Instances