regress_train_test.inp

#  To use this example configuration file:
#  Set the current directory to RGF/examples.
#  In the command line, enter:
#
#      perl call_exe.pl ../bin/rgf train_test sample/regress_train_test
#

#------------------          Perform 3 runs           --------------------#
@reg_L2=1,model_fn_prefix=output/regress.lam1.model       # used by 1st run
@reg_L2=0.1,model_fn_prefix=output/regress.lam0.1.model   # used by 2nd run
@reg_L2=0.01,model_fn_prefix=output/regress.lam0.01.model # used by 3rd run
#-------------------------------------------------------------------------#

#---  Other parameters are shared by 3 runs

train_x_fn=sample/regress.train.x  # Training data points
train_y_fn=sample/regress.train.y  # Training targets

test_x_fn=sample/regress.test.x    # Test data points
test_y_fn=sample/regress.test.y    # Test targets

algorithm=RGF        # RGF with L2 regularization on leaf-only models
loss=LS              # Square loss
test_interval=500    # Test (and save) models every time 500 leaves are added
max_leaf_forest=5000 # Stop training when #leaf reaches 5000
Verbose              # Display info during training
NormalizeTarget      # Normalize targets so that the average becomes zero

#train_w_fn=??             # User-specified weights of data points
#model_fn_for_warmstart=?? # Path to the model file to do warm-start with