The GaussianNormalizer should accept uniform distributions

[npatki]

Problem Description

The GaussianNormalizer accepts a distribution parameter, where you can provide a string name of the univariate distribution. For example:

my_transformer = GaussianNormalizer(distribution='beta')

The available distributions are: 'gaussian', 'gamma', 'beta', 'student_t', 'truncated_gaussian' and 'gaussian_kde'

Expected behavior

We should also accept 'uniform' as a possible parameter. When selected, this should use the copulas UniformUnivariate distribution.

Additional context

If you're only using RDT, then instead of supplying the distribution as a string name, you can also directly input a class. This also does not work for uniform distributions.

from copulas import univariate

my_transformer = GaussianNormalizer(distribution=univariate.Uniform)