D. Jabs:

- Added Future Works to README.md

README.md

@@ -43,4 +43,9 @@ y_test, sigma = model.predict(x_test)
 To summarize all up, the following plot shows how well the GP approximate the true function, given the few data points
 which shows how sample efficient and highly interpretable GPs are.
 
-![](gp_prediction.png)
+![](gp_prediction.png)
+
+### Future Features
+The following list defines features, that are currently on work:
+
+* [ ] Add more kernel functions (Polynomial, Matérn, ...) to PyGaussian