Build the random forest Python binding, provide better warning output.

src/mlpack/methods/random_forest/CMakeLists.txt

@@ -18,3 +18,4 @@ endforeach()
 set(MLPACK_SRCS ${MLPACK_SRCS} ${DIR_SRCS} PARENT_SCOPE)
 
 add_cli_executable(random_forest)
+add_python_binding(random_forest)

src/mlpack/methods/random_forest/random_forest_main.cpp

@@ -101,6 +101,9 @@ void mlpackMain()
   RequireParamValue<int>("minimum_leaf_size", [](int x) { return x > 0; }, true,
       "minimum leaf size must be greater than 0");
 
+  ReportIgnoredParam({{ "training", false }}, "num_trees");
+  ReportIgnoredParam({{ "training", false }}, "minimum_leaf_size");
+
   RandomForestModel rfModel;
   if (CLI::HasParam("training"))
   {