# perceptron). If you decide to use a different feature weight
# estimator you should also change ESTIMATORNICKNAME below.
# ESTIMATORFLAGS are flags given to the estimator
-ESTIMATORFLAGS=-l 1 -c0 10 -Pyx_factor 1 -debug 10 -ns -1
+# These flags are for cvlm-owlqn:
+ESTIMATORFLAGS=-l 1 -c 10 -F 1 -d 10 -n -1
+# The equivalent ESTIMATORFLAGS for cvlm:
+# ESTIMATORFLAGS=-l 1 -c0 10 -Pyx_factor 1 -debug 10 -ns -1
# ESTIMATORNICKNAME is used to name the feature weights file
-You'll also need the Boost C++ and the Petsc/Tao C++ libraries in
-order to retrain the reranker. The environment variables PETSC_DIR
-and TAO_DIR should all point to the installation directories of this
-software. I define these variables in my .login file as follows on my
+If you're using cvlm as your estimator (note that this is no longer the
+default), you'll also need the Boost C++ and the Petsc/Tao C++ libraries
+in order to retrain the reranker. If you're using cvlm-owlqn as your
+estimator, you can ignore these steps. Install instructions for Petsc/Tao
+are given later in this document. The environment variables PETSC_DIR and
+TAO_DIR should all point to the installation directories of this software.
+I define these variables in my .login file as follows on my machine.
setenv PETSC_DIR /usr/local/share/petsc
setenv TAO_DIR /usr/local/share/tao
-You'll need to have PETSc and Tao installed in order to
+If you're using cvlm as your estimator, you'll need to have PETSc and
+Tao installed in order to retrain the reranker. Otherwise, you can
+safely ignore this section.
These installation instructions work for gcc version 4.2.1 (you also