diff --git a/scikits/learn/lda.py b/scikits/learn/lda.py
index ebd189a3f8cc5241d9cbd9558b8829f5b832625c..2c274e9fd9fccb3d438ad6449264ccbc58cc995c 100644
--- a/scikits/learn/lda.py
+++ b/scikits/learn/lda.py
@@ -37,14 +37,6 @@ class LDA(BaseEstimator, ClassifierMixin):
     `covariance_` : array-like, shape = [n_features, n_features]
         Covariance matrix (shared by all classes)
 
-    Methods
-    -------
-    fit(X, y) : self
-        Fit the model
-
-    predict(X) : array
-        Predict using the model.
-
     Examples
     --------
     >>> import numpy as np
diff --git a/scikits/learn/qda.py b/scikits/learn/qda.py
index 40bdfe70e6bb4e7be4f4e6d507d9f0bb206da4ee..b6ffd12e93467bbb7ff35e56ec3c2252a910edbe 100644
--- a/scikits/learn/qda.py
+++ b/scikits/learn/qda.py
@@ -43,14 +43,6 @@ class QDA(BaseEstimator, ClassifierMixin):
     `covariances_` : list of array-like, shape = [n_features, n_features]
         Covariance matrices of each class
 
-    Methods
-    -------
-    fit(X, y) : self
-        Fit the model
-
-    predict(X) : array
-        Predict using the model.
-
     Examples
     --------
     >>> from scikits.learn.qda import QDA