Why does _fit_and_score use print() instead of logging?

[FragLegs]

Forgive me if this has been discussed already, but why does sklearn.cross_validation._fit_and_score use a verbosity parameter and the print function, rather than using python's logging module? As someone who is building a library that uses sklearn, it means that I have to expose that verbosity parameter in my code, rather than letting the user set the logging level (or even hide the logging from that module).

For instance in lines 1434-1440 of sklearn/cross_validation.py

    if verbose > 1:
        if parameters is None:
            msg = "no parameters to be set"
        else:
            msg = '%s' % (', '.join('%s=%s' % (k, v)
                          for k, v in parameters.items()))
        print("[CV] %s %s" % (msg, (64 - len(msg)) * '.'))

[amueller]

duplicate of #78, feel free to comment there.

Answer: no-one implemented it, also it makes it more complicated for the average user.
If you make a good case, a PR might be accepted.