v0.4.3

changelog:
- added BatesGranger method in TimeSeries module

bin/run_tests.sh

@@ -31,6 +31,10 @@ printf "=%.0s" {1..70}
 # Run unit tests
 if [[ $module == "-a" || $module == "-u" ]]
 then
+	printf "\nRunning unit & integration tests ...\n\n"
+	coverage run -m unittest discover -v -s $test_dir -p "test_*.py"	
+  printf "=%.0s" {1..70}
+	printf "\n"
 	printf "\nComputing test coverage ...\n\n"
 	coverage report -m --omit="*/tests/test_*,*/opt/spark-*" 2>&1 | tee "$proj_dir/logs/cov.out"
 	COV_SCORE=`grep "TOTAL" $proj_dir/logs/cov.out | tail -1 | awk '{ printf("%d", $4) }'`
@@ -41,10 +45,6 @@ then
 	fi
 	sed -i "3s/.*/\[\!\[Coverage score\]\(\https\:\/\/img\.shields\.io\/badge\/coverage\-$COV_SCORE\%25\-$COV_COLOR.svg\)\]\(\.\/logs\/cov\.out\)/" "$proj_dir/README.md"
 	printf "=%.0s" {1..70}
-	printf "\n"
-	printf "\nRunning unit & integration tests ...\n\n"
-	coverage run -m unittest discover -v -s $test_dir -p "test_*.py"
-	printf "=%.0s" {1..70}
 fi
 
 # Rate coding styles for all python scripts

logs/cov.out

@@ -4,7 +4,7 @@ mllib/lib/cluster.py        103      0   100%
 mllib/lib/knn.py             70      0   100%
 mllib/lib/model.py           45      0   100%
 mllib/lib/opt.py            147      0   100%
-mllib/lib/timeseries.py      60      0   100%
+mllib/lib/timeseries.py      89      0   100%
 mllib/lib/tree.py           158      0   100%
 -------------------------------------------------------
-TOTAL                       583      0   100%
+TOTAL                       612      0   100%

logs/pylint/lib-timeseries-py.out

@@ -4,6 +4,6 @@ timeseries.py:202:41: I1101: Module 'metrics' has no 'mae' member, but source is
 timeseries.py:203:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)
 timeseries.py:204:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)
 
---------------------------------------------------------------------
-Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00)
+-------------------------------------------------------------------
+Your code has been rated at 10.00/10 (previous run: 9.89/10, +0.11)
 

mllib/lib/timeseries.py

@@ -294,7 +294,7 @@ def __init__(self,
                  y: str,
                  y_hat: List[str],
                  lag: int = 1
-                 ):      
+                 ):
         """Initialize variables."""
         self.df = df
         self.y = y
@@ -320,7 +320,7 @@ def predict(self):
         """
         for i in self.y_hat:
             self.df["sq_error_" + i] = (abs(self.df[i] - self.df[self.y])
-                                        * 100 / self.df[self.y] ) ** 2
+                                        * 100 / self.df[self.y]) ** 2
         for epoch in range(len(self.fcst)-self.lag):
             df_tmp = self.df.iloc[epoch:self.lag+epoch]
             mse_val = [np.mean(df_tmp["sq_error_" + i]) for i in self.y_hat]