Release v0.0.5

• the to_nominal_attributes method in the sklearn.dataset module requires now the indices parameter (incorrectly declared as optional); can parse a range string now as well
• fixed the fit, set_params and __str__ methods fo the MakeNominal transformer (module sklweka.preprocessing)
• WekaEstimator (module sklweka.classifiers) and WekaCluster (module sklweka.clusters) now allow specifying which attributes to turn into nominal ones, which avoids having to manually convert the data (either as list with 0-based indices or range string with 1-based indices)
• set_params methods now ignore empty dictionaries