diff --git a/src/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression_main.cpp b/src/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression_main.cpp index 4509c3e4c9..39c04fc4b4 100644 --- a/src/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression_main.cpp +++ b/src/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression_main.cpp @@ -139,7 +139,7 @@ static void mlpackMain() // Load covariates. We can avoid LARS transposing our data by choosing to // not transpose this data (that's why we used PARAM_TMATRIX_IN). - mat matX = std::move(CLI::GetParam("input")); + mat matX = std::move(IO::GetParam("input")); // Load responses. The responses should be a one-dimensional vector, and it // seems more likely that these will be stored with one response per line