Add fit, transform and reverse_transform to DataProcessor

[amontanez24]

Problem Description

The DataProcessor class will need to have fit, transform and fit_transform methods.

Expected behavior

• Add the following methods

  • fit(self, data): Fit the all of the constraints created in the init and a HyperTransformer.

    • We should still handle constraints in the same way and copy logic from Table._fit_transform_constraints
    • The transformers used in the HyperTransformer should be configured/selected using similar rules to what we have now. The handling of anonymization will be done in a later issue.

  • transform(self, data, is_condition): Transform the data using the self.constraints and self.hyper_transformer in that order.

    • We should copy most of the functionality from here. We just won’t need to do the anonymization step.

  • reverse_transform(self, data): Reverse transform the data using the self.constraints and self.hyper_transformer in that reverse order.

    • We should copy most of the functionality from here. Again we can just avoid the pii related stuff.

Additional context

We may consider adding another method called transform_conditions that does all the logic for condition transforming separately. This way the tranform method won't need the is_Condition parameter, and all the if statements in our code designed to handle this special case can be removed and their logic can be broken up into separate methods. This should be more readable.