Dataset with floating point values

Hi,

The work is great and I want to explore the possibility of using it on some complicated dataset. I have tried to use it on the Wisconsin breast cancer dataset. However, as the dataset contains quite a lot of different floating point values, there are many feature names appended with these values during the get_dummies. I have tried to remove the checking (the one in explain.py:90). There are no rules found. Are there any limitations in using this work on datasets with floating point values?

Start by reproducing the Wisconsin breast cancer dataset case and inspect the checking logic in explain.py:90, including the effect of get_dummies on floating-point feature names. Compare the resulting behavior with a dataset using simpler feature values and determine whether the project documents or tests a limitation. Done means the supported behavior and any required change are clearly established.

Written by the indexing model from the issue text.