machine learning - Is there a java libaray or code example availabe that optimize paramters via LBFGS by giving current parameters, gradient and cost/loss(function)? -


what m looking function this:

optimizebylbfgs(currentparamters,gradientofparamters,loss/cost) return: optimized paramters

then use returned optimized paramters , calculate new loss/cost , feed them again ... , again... in function. can use purpose?

something scipy.optimize.minimize in python java?

current paramters , gradients availabe in array / vector in form of 100 rows , 1 column. avaialbe

thanks in advance!

there 1 in spark: https://spark.apache.org/docs/1.0.1/api/java/org/apache/spark/mllib/optimization/lbfgs.html

and heard 1 nice too:

https://github.com/brendano/myutil/blob/master/src/util/lbfgs.java


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