Python3 compatibility is broken

[davekirby]

There are two old-style print statements in __init__.py that break compatibility with Python 3.

I added brackets to turn them into function calls and that seemed to fix it, but I have not done extensive testing to see if there are any other compatibility issues.

[ezietsman]

I just ran into this issue too.

[ezietsman]

Running the example on the README file just gives this error:

Running it in Python 3.5.1 on OSX in a Jupyter notebook.

Types [2, 2, 1] and maxint [24, 24, 0] detected
--- Evolve in 625 possible combinations ---
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-2-9446b1aeccef> in <module>()
     28                                    generations_number=5,
     29                                    n_jobs=4)
---> 30 cv.fit(X, y)

/usr/local/lib/python3.5/site-packages/evolutionary_search/__init__.py in fit(self, X, y)
    286         self.best_params_ = None
    287         for possible_params in self.possible_params:
--> 288             self._fit(X, y, possible_params)
    289         if self.refit:
    290             self.best_estimator_ = clone(self.estimator)

/usr/local/lib/python3.5/site-packages/evolutionary_search/__init__.py in _fit(self, X, y, parameter_dict)
    346         pop, logbook = algorithms.eaSimple(pop, toolbox, cxpb=0.5, mutpb=0.2,
    347                                            ngen=self.generations_number, stats=stats,
--> 348                                            halloffame=hof, verbose=self.verbose)
    349 
    350         current_best_score_ = hof[0].fitness.values[0]

/usr/local/lib/python3.5/site-packages/deap/algorithms.py in eaSimple(population, toolbox, cxpb, mutpb, ngen, stats, halloffame, verbose)
    145     # Evaluate the individuals with an invalid fitness
    146     invalid_ind = [ind for ind in population if not ind.fitness.valid]
--> 147     fitnesses = toolbox.map(toolbox.evaluate, invalid_ind)
    148     for ind, fit in zip(invalid_ind, fitnesses):
    149         ind.fitness.values = fit

/usr/local/Cellar/python3/3.5.1/Frameworks/Python.framework/Versions/3.5/lib/python3.5/multiprocessing/pool.py in map(self, func, iterable, chunksize)
    258         in a list that is returned.
    259         '''
--> 260         return self._map_async(func, iterable, mapstar, chunksize).get()
    261 
    262     def starmap(self, func, iterable, chunksize=None):

/usr/local/Cellar/python3/3.5.1/Frameworks/Python.framework/Versions/3.5/lib/python3.5/multiprocessing/pool.py in get(self, timeout)
    606             return self._value
    607         else:
--> 608             raise self._value
    609 
    610     def _set(self, i, obj):

/usr/local/Cellar/python3/3.5.1/Frameworks/Python.framework/Versions/3.5/lib/python3.5/multiprocessing/pool.py in _handle_tasks(taskqueue, put, outqueue, pool, cache)
    383                         break
    384                     try:
--> 385                         put(task)
    386                     except Exception as e:
    387                         job, ind = task[:2]

/usr/local/Cellar/python3/3.5.1/Frameworks/Python.framework/Versions/3.5/lib/python3.5/multiprocessing/connection.py in send(self, obj)
    204         self._check_closed()
    205         self._check_writable()
--> 206         self._send_bytes(ForkingPickler.dumps(obj))
    207 
    208     def recv_bytes(self, maxlength=None):

/usr/local/Cellar/python3/3.5.1/Frameworks/Python.framework/Versions/3.5/lib/python3.5/multiprocessing/reduction.py in dumps(cls, obj, protocol)
     48     def dumps(cls, obj, protocol=None):
     49         buf = io.BytesIO()
---> 50         cls(buf, protocol).dump(obj)
     51         return buf.getbuffer()
     52 

TypeError: can't pickle dict_items objects

[Gargonslipfisk]

Same problem here. Is there any solution?

[rsteca]

I just fixed the compatibility with pyhthon3. Just do a pip install sklearn-deap --upgrade