vaeac_compute_normalization function

Compute Featurewise Means and Standard Deviations

Returns the means and standard deviations for all continuous features in the data set. Categorical features get $mean = 0$ and $sd = 1$ by default.

vaeac_compute_normalization(data, one_hot_max_sizes)

Arguments

• data: A torch_tensor of dimension n_observation x n_features containing the data.

• one_hot_max_sizes: A torch tensor of dimension n_features containing the one hot sizes of the n_features

  features. That is, if the ith feature is a categorical feature with 5 levels, then one_hot_max_sizes[i] = 5. While the size for continuous features can either be 0 or 1.

Returns

List containing the means and the standard deviations of the different features.

Author(s)

Lars Henry Berge Olsen