gistfile1.txt

def trees(neighborhoods):

   neighborhoods_trees = {}

   for neighborhood in neighborhoods:

       temp = april[april.Neighborhood == neighborhood]

       if len(temp) > 500:

           test = temp['Taxi_Order'] + temp['Uber_Order']



           #Deleting unnecessary columns

           del temp['Taxi_Order']

           del temp['Uber_Order']

           del temp['Min']

           del temp['Max']

           del temp['Neighborhood']

           del temp['Date']

           del temp['Uber_Share']

           del temp['Unnamed: 0']



           np.random.seed(1)

           randomForest = ensemble.RandomForestClassifier()

           randomForest.fit(temp, test) # fit

           neighborhoods_trees[neighborhood] = (float(randomForest.predict(get_current_conditions())))

   return neighborhoods_trees