[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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