<NME> lsboost.properties
<BEF> ADDFILE
<MSG> AppLSBoost properties

<DFF> @@ -0,0 +1,30 @@
+# path to input train data
+input.trainData=/Users/chengli/Datasets/abalone/train
+# path to input test data
+input.testData=/Users/chengli/Datasets/abalone/test
+# matrix format; can be dense or sparse
+# use sparse format for text data with large number of sparse features to save memory
+input.matrixType=dense
+
+# folder for the program output
+output.folder=/Users/chengli/tmp/out
+
+# train the model on the training set
+train=true
+
+# test the model on the test set
+test=true
+
+# number of training iterations
+train.numIterations=100
+# number of leaves in each tree
+train.numLeaves=2
+# shrinkage parameter applied to each tree; 
+# 0.1 is usually good
+train.shrinkage=0.1
+# whether to show training performance during training
+train.showTrainProgress=true
+# whether to show test performance during training
+train.showTestProgress=true
+# show the progress in every k iterations
+train.showProgress.interval=1

AppLSBoost properties