Documentation and lint.

gext/fitting.py

@@ -70,7 +70,7 @@ class LeastSquare(AbstractFitting):
 
 class QuasiTimeReversible(AbstractFitting):
 
-    """Quasi time reversible fitting scheme. Not yet implemented."""
+    """Quasi time reversible fitting scheme."""
 
     supported_options = {
         "regularization": 0.0,
@@ -85,7 +85,8 @@ class QuasiTimeReversible(AbstractFitting):
             raise ValueError("Unsupported value for regularization")
 
     def fit(self, vectors: List[np.ndarray], target: np.ndarray):
-        """Time reversible least square minimization fitting."""
+        """Given a set of vectors and a target return the fitting
+        coefficients in a quasi time reversible scheme."""
 
         past_target = vectors[0]
         matrix = np.array(vectors[1:]).T