docstrings wording fixes
fix hard lists dependency
renamed vectorizer module and fixed imports
adecuated test module name
in order to introduce the new concept of Vectorizer (that sums up evaluator and the-old-vectorizer) we rename the-old-vectorizer as flattener
simplified a bit the flattener code since now theres not need of staticmethods, so internal algorithm stuff can be stored on self object
first step on making possible to the evaluator to return a generator and not a list
draft of vectorizer added
Created Simple Feature Evaluator
Fixed old tests re tolerant-evaluator
Testing the simplistic feature evaluator
removed sklearn dependency of the Vectorizer estimator. Drawing some sketchs of how it may look like
Modified flattener to work with tuples instead of dicts
Minor fixes to vectorizer
Added consisted flattener.reverse convention. Now all elements are tuples of two values.
Removed redundant singleton class in favor of None
Splitted fit and transform into reusable smaller methods
Added fit_transform to feature flattener
fully implemented the Simple Feature Evaluator
fixed tests after rebasing with develop