From cbaeea30b25b60448389404c917676a59fd0ee63 Mon Sep 17 00:00:00 2001
From: "Martin K. Scherer" <marscher@users.noreply.github.com>
Date: Tue, 23 Feb 2016 19:47:37 +0100
Subject: [PATCH] fixes #704

---
 pyemma/coordinates/api.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyemma/coordinates/api.py b/pyemma/coordinates/api.py
index b9557b23a..091c5b937 100644
--- a/pyemma/coordinates/api.py
+++ b/pyemma/coordinates/api.py
@@ -1020,7 +1020,7 @@ def tica(data=None, lag=10, dim=-1, var_cutoff=0.95, kinetic_map=True, stride=1,
         dimensions (see epsilon) will be used, unless set by dim. Setting
         var_cutoff smaller than 1.0 is exclusive with dim
 
-    kinetic_map : bool, optional, default False
+    kinetic_map : bool, optional, default True
         Eigenvectors will be scaled by eigenvalues. As a result, Euclidean
         distances in the transformed data approximate kinetic distances [4]_.
         This is a good choice when the data is further processed by clustering.