PublicData.get_decimal_precisions fails for very small or large numerical values

[michael-t-alexander]

If the mode of a float type column is <= 1e-5 or >= 1e16, this line in get_decimal_precisions fails as the string representation of the mode uses scientific notation and doesn't contain a decimal point:

DiCE/dice_ml/data_interfaces/public_data_interface.py

Line 396 in 8027ebb

maxp = len(str(modes[0]).split('.')[1]) # maxp stores the maximum precision of the modes

[fabiensatalia]

I have encountered this issue as well. Unlike with other issues, it is not generally possible to fix it without modifying the training data in a way that changes its meaning. I do not see a good way to work around it, some datasets simply cannot be used with DiCE until this bug is fixed.