[mlpack-svn] r16055 - mlpack/trunk/src/mlpack/methods/linear_regression

fastlab-svn at coffeetalk-1.cc.gatech.edu fastlab-svn at coffeetalk-1.cc.gatech.edu
Thu Nov 21 12:58:59 EST 2013


Author: rcurtin
Date: Thu Nov 21 12:58:59 2013
New Revision: 16055

Log:
Goodbye, slightly misleading documentation.


Modified:
   mlpack/trunk/src/mlpack/methods/linear_regression/linear_regression_main.cpp

Modified: mlpack/trunk/src/mlpack/methods/linear_regression/linear_regression_main.cpp
==============================================================================
--- mlpack/trunk/src/mlpack/methods/linear_regression/linear_regression_main.cpp	(original)
+++ mlpack/trunk/src/mlpack/methods/linear_regression/linear_regression_main.cpp	Thu Nov 21 12:58:59 2013
@@ -11,7 +11,7 @@
     "An implementation of simple linear regression and simple ridge regression "
     "using ordinary least squares. This solves the problem\n\n"
     "  y = X * b + e\n\n"
-    "where X (--input_file) and y (the last row of --input_file, or "
+    "where X (--input_file) and y (the last column of --input_file, or "
     "--input_responses) are known and b is the desired variable.  If the "
     "covariance matrix (X'X) is not invertible, or if the solution is "
     "overdetermined, then specify a Tikhonov regularization constant (--lambda)"



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