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JointParerTrainer trainer = new JointParerTrainer(model); int maxite = 100; float c = 0.01f; trainer.train(allfile, maxite, c); float thres = 0.00001f; ModelOptimization op = new ModelOptimization(thres); op.optimizeDep(model);
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JointParerTrainer trainer = new JointParerTrainer(model); int maxite = 50; float c = 0.01f; trainer.train(trainfile, maxite, c); eval(); bw.println("优化"); float thres = 1.0E-5f;