change allreduce lib to rabit library, xgboost now run with rabit

multi-node/col-split/mushroom-col-rabit.sh

@@ -0,0 +1,28 @@
+#!/bin/bash
+if [[ $# -ne 1 ]]
+then
+    echo "Usage: nprocess"
+    exit -1
+fi
+
+#
+# This script is same as mushroom-col except that we will be using xgboost instead of xgboost-mpi
+# xgboost used built in tcp-based allreduce module, and can be run on more enviroment, so long as we know how to start job by modifying ../submit_job_tcp.py
+#
+rm -rf train.col* *.model
+k=$1
+
+# split the lib svm file into k subfiles
+python splitsvm.py ../../demo/data/agaricus.txt.train train $k
+
+# run xgboost mpi
+../../rabit/tracker/rabit_mpi.py $k local ../../xgboost mushroom-col.conf dsplit=col
+
+# the model can be directly loaded by single machine xgboost solver, as usuall
+../../xgboost mushroom-col.conf task=dump model_in=0002.model fmap=../../demo/data/featmap.txt name_dump=dump.nice.$k.txt
+
+# run for one round, and continue training
+../../rabit/tracker/rabit_mpi.py $k local  ../../xgboost mushroom-col.conf dsplit=col num_round=1
+../../rabit/tracker/rabit_mpi.py $k local  ../../xgboost mushroom-col.conf  mushroom-col.conf dsplit=col model_in=0001.model
+
+cat dump.nice.$k.txt