Alpha and Beta can be out of bounds for beta distribution causing Nans to appear

[lajohn4747]

Environment Details

Please indicate the following details about the environment in which you found the bug:

• Copulas version: 0.9.2.dev1
• Python version: 3.11
• Operating System: Mac

Error Description

ppf function here returns a Nan if alpha and beta values are not within bounds (i.e. value > 0):

Copulas/copulas/univariate/base.py

Line 582 in 64a91e8

return self.MODEL_CLASS.ppf(U, **self._params)

This is causing issues where Nans are appearing in synthetic data where the original data does not contain nans.

Values are being passed in from here:
https://github.com/sdv-dev/SDV/blob/71d61d6e8b01808c9b5a70b4573fdc7e1749b758/sdv/single_table/copulas.py#L345