I am making a call to edu.stanford.nlp.classify.ColumnDataClassifier.makeClassifier()
, and I need to block the std out that it generates. I tried setting displayedColumn=-1
in the .prop file, but it does not see to me help. The following is the console output makeClassifier()
generates that I want to eliminate. Can someone help?
Console output:
QNMinimizer called on double function of 1596 variables, using M = 15.
An explanation of the output:
Iter The number of iterations
evals The number of function evaluations
SCALING <D> Diagonal scaling was used; <I> Scaled Identity
LINESEARCH [## M steplength] Minpack linesearch
1-Function value was too high
2-Value ok, gradient positive, positive curvature
3-Value ok, gradient negative, positive curvature
4-Value ok, gradient negative, negative curvature
[.. B] Backtracking
VALUE The current function value
TIME Total elapsed time
|GNORM| The current norm of the gradient
{RELNORM} The ratio of the current to initial gradient norms
AVEIMPROVE The average improvement / current value
EVALSCORE The last available eval score
Iter ## evals ## <SCALING> [LINESEARCH] VALUE TIME |GNORM| {RELNORM} AVEIMPROVE EVALSCORE
Iter 1 evals 1 <D> [M 1.000E-1] 6.808E-1 0.00s |3.890E-1| {1.111E-2} 0.000E0 -