linting

Author: tkchafin

src/resistnet/MLPE.py

@@ -27,7 +27,7 @@ def objective(rho):
 
         bounds = [(0.0001, 0.4999)]
         result = minimize(objective, self.rho, bounds=bounds,
-                        method='L-BFGS-B')
+                            method='L-BFGS-B')
         self.rho = result.x[0]
         return self.rho
 
@@ -127,4 +127,4 @@ def MLPE(Y, X, scale=True):
 #     # var_fixed = np.var(result.fittedvalues)
 #     # var_random = result.cov_re.iloc[0, 0]
 #     # var_residual = result.scale
-#     # marginal_r2 = var_fixed / (var_fixed + var_random + var_residual)
+#     # marginal_r2 = var_fixed / (var_fixed + var_random + var_residual)

src/resistnet/MLPE_R.py

@@ -92,4 +92,3 @@
 #             if i + 1 in list(id.iloc[j]):
 #                 zz[i, j] = 1
 #     return zz
-

src/resistnet/model_optimisation_ga.py

@@ -133,7 +133,7 @@
 #                fixShape=False, min_weight=0.0, max_shape=None,
 #                max_hof_size=100, tournsize=10, awsum=0.95, only_keep=True,
 #                use_full=False, fixed_params=None,
-#                out=None, plot=True, verbose=True, report_all=False, 
+#                out=None, plot=True, verbose=True, report_all=False,
 # threads=1):
 #         """
 #         Runs the genetic algorithm for optimizing the ResistNet model.