bugfixes for seasonal FTS

pyFTS/benchmarks/Measures.py

@@ -323,10 +323,7 @@ def get_point_statistics(data, model, **kwargs):
         if not isinstance(forecasts, (list, np.ndarray)):
             forecasts = [forecasts]
 
-        if model.has_seasonality:
-            nforecasts = np.array(forecasts)
-        else:
-            nforecasts = np.array(forecasts[:-1])
+        nforecasts = np.array(forecasts[:-1])
 
         ret.append(np.round(rmse(ndata[model.order:], nforecasts), 2))
         ret.append(np.round(smape(ndata[model.order:], nforecasts), 2))

pyFTS/models/seasonal/sfts.py

@@ -80,7 +80,7 @@ class SeasonalFTS(fts.FTS):
 
         ret = []
 
-        for k in np.arange(1, l):
+        for k in np.arange(0, l):
 
             season = self.indexer.get_season_by_index(k)[0]
 

pyFTS/tests/sfts.py

@@ -35,3 +35,7 @@ model.fit(data)
 print(model)
 
 print(model.predict(data))
+
+from pyFTS.benchmarks import Measures
+
+Measures.get_point_statistics(data, model)