add mocktest

rabit-learn/linear/Makefile

@@ -1,6 +1,6 @@
 # specify tensor path
 BIN = linear.rabit
-MOCKBIN= 
+MOCKBIN= linear.mock
 MPIBIN = 
 # objectives that makes up rabit library
 OBJ = linear.o
@@ -11,3 +11,4 @@ CFLAGS+=-fopenmp
 linear.o: linear.cc ../../src/*.h linear.h ../solver/*.h
 # dependenies here
 linear.rabit: linear.o lib
+linear.mock: linear.o lib

rabit-learn/linear/README.md

@@ -8,6 +8,10 @@ Parameters
 All the parameters can be set by param=value
 
 #### Important Parameters
+* objective [default = logistic]
+  - can be linear or logistic
+* base_score [default = 0.5]
+  - global bias, recommended set to mean value of label
 * reg_L1 [default = 0]
   - l1 regularization co-efficient
 * reg_L2 [default = 1]

rabit-learn/linear/run-linear-mock.sh

@@ -0,0 +1,15 @@
+#!/bin/bash
+if [[ $# -lt 1 ]]
+then
+    echo "Usage: nprocess"
+    exit -1
+fi
+
+rm -rf mushroom.row* *.model
+k=$1
+
+# split the lib svm file into k subfiles
+python splitrows.py ../data/agaricus.txt.train mushroom $k
+
+# run xgboost mpi
+../../tracker/rabit_demo.py -n $k linear.mock mushroom.row\%d "${*:2}" reg_L1=1 mock=0,1,1,0 mock=1,1,1,0  mock=0,2,1,1