Question - Support for different types of categorical variable encoding

Hi,

Does Tpot offer any automated way to convert categorical feature into encoded variables.

## Context of the issue

I have an input dataset with more than 100 variables where around 80% of the variables are categorical in nature.

While some variables like gender, country etc can be one-hot encoded but I also have few variables which have an inherent order in their values such rating - Very good, good, bad etc.

Is there any approach/option in Tpot which we can use to do this encoding based on the variable type.

For ex: I would like to provide the below two lists as input to the tpot auto-ml arguments.

`one-hot-list = ['Gender', 'Country']` #one-hot encoding
`ordinal_list = ['Feedback', 'Level_of_interest']` #ordinal encoding

Is there any option in the package that can do this for us?

Or is there any other efficient way to do this as I have 80 categorical columns