# Generated by compute-weights
# train_file=sample.train.matrix
# class_file=sample.class.matrix
# matrix_from_file=false zero_mean=false variance_one=false  normalize=false
# constant=1 coefficient=1 power=1
# radial=false two_squared_width=0 add_diag=0
# feature_select=none thresh_type=percent fthreshold=0
# positive_constraint=1 negative_constraint=1 constrain_weights=true
# positive_diagonal=0 negative_diagonal=0
# convergence_threshold=1e-06 seed=1008336669
# objective=0.0293862 iterations=13
# time=0.01 s host=gene.cs.columbia.edu date=Fri Dec 14 08:31:09 EST 2001
corner	class	weight	train_classification	train_discriminant
example_1	    -1	    -0	    -1	-2.341
example_2	     1	0.1321	     1	0.9991
example_3	     1	     0	     1	  1.83
example_4	    -1	    -0	    -1	-1.058
example_5	    -1	-0.09971	    -1	    -1
example_6	     1	     0	     1	 1.229
example_7	    -1	-0.06195	    -1	    -1
example_8	     1	     0	     1	 2.603
example_9	     1	     0	     1	 1.281
example_10	     1	     0	     1	  1.77