Minor documentation fixes

2 files changed, 7 insertions, 4 deletions

diff --git a/README.rst b/README.rst
index bf3c120..44c47a7 100644
--- a/README.rst
+++ b/README.rst
@@ -73,8 +73,8 @@ from Scikit-Learn as follows:
     >>> scaler = MaxAbsScaler().fit(X_train)
     >>> X_train, X_test = scaler.transform(X_train), scaler.transform(X_test)
 
-Note that we scale the data using the `maxabs_scale 
-<http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.maxabs_scale.html>`_ 
+Note that we scale the data using the `MaxAbsScaler 
+<http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MaxAbsScaler.html>`_ 
 function. This scales the columns of the data matrix to ``[-1, 1]`` without 
 breaking sparsity. Scaling the dataset can have a significant effect on the 
 computation time of GenSVM and is `generally recommended for SVMs 
diff --git a/gensvm/core.py b/gensvm/core.py
index dab2368..c994995 100644
--- a/gensvm/core.py
+++ b/gensvm/core.py
@@ -76,13 +76,16 @@ def _fit_gensvm(
     if status_ == 1 and verbose > 0:
         warnings.warn(
             "GenSVM optimization prematurely ended due to a "
-            "incorrect step in the optimization algorithm.",
+            "incorrect step in the optimization algorithm. "
+            "This can be due to data quality issues, hyperparameter "
+            "settings, or numerical precision errors.",
             FitFailedWarning,
         )
 
     if status_ == 2 and verbose > 0:
         warnings.warn(
-            "GenSVM failed to converge, increase " "the number of iterations.",
+            "GenSVM failed to converge, you may want to increase "
+            "the number of iterations.",
             ConvergenceWarning,
         )