Removed blank lines to make it OK w/PEP8 #207

Author: dpuenteramirez

instance_selection/_MSS.py

@@ -83,7 +83,6 @@ def _enemy_distance(dat, tar):
         :return: A list of lists, where each list contains a sample, its class,
          and its distance to its nearest enemy.
         """
-
         solution = []
         for sample, x_class in zip(dat, tar):
             distance = sys.maxsize

semisupervised/DensityPeaks.py

@@ -468,7 +468,6 @@ def _fit_stdpnf(self):
         Self Training based on Density Peaks and a parameter-free noise
         filter.
         """
-
         self.__discover_structure()
 
         nan, lambda_param = self.__nan_search()

semisupervised/ensemble/_RESSEL.py

@@ -80,7 +80,6 @@ def fit(self, labeled, unlabeled, base_estimator, estimator_params=None):
         :param estimator_params: dict of params to pass to the estimator.
         :return: the ensemble in case is needed.
         """
-
         self._validate_params(base_estimator, labeled, unlabeled)
 
         self._init_ensemble(base_estimator, estimator_params)
@@ -218,7 +217,6 @@ def _robust_self_training(self, iteration, l_i, u_i, oob_i, d_class_i):
         :param d_class_i: the proportion of samples to be selected from each
         class
         """
-
         y_pred = self.ensemble[iteration].predict(oob_i.iloc[:, :-1])
         best_error_i = f1_score(
             y_true=np.ravel(oob_i.iloc[:, -1:]),