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static void | mlptrainlm (mlpbase.multilayerperceptron network, double[,] xy, int npoints, double decay, int restarts, ref int info, mlpreport rep) |
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static void | mlptrainlbfgs (mlpbase.multilayerperceptron network, double[,] xy, int npoints, double decay, int restarts, double wstep, int maxits, ref int info, mlpreport rep) |
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static void | mlptraines (mlpbase.multilayerperceptron network, double[,] trnxy, int trnsize, double[,] valxy, int valsize, double decay, int restarts, ref int info, mlpreport rep) |
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static void | mlpkfoldcvlbfgs (mlpbase.multilayerperceptron network, double[,] xy, int npoints, double decay, int restarts, double wstep, int maxits, int foldscount, ref int info, mlpreport rep, mlpcvreport cvrep) |
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static void | mlpkfoldcvlm (mlpbase.multilayerperceptron network, double[,] xy, int npoints, double decay, int restarts, int foldscount, ref int info, mlpreport rep, mlpcvreport cvrep) |
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static void | mlptrainlm (mlpbase.multilayerperceptron network, double[,] xy, int npoints, double decay, int restarts, ref int info, mlpreport rep) |
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static void | mlptrainlbfgs (mlpbase.multilayerperceptron network, double[,] xy, int npoints, double decay, int restarts, double wstep, int maxits, ref int info, mlpreport rep) |
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static void | mlptraines (mlpbase.multilayerperceptron network, double[,] trnxy, int trnsize, double[,] valxy, int valsize, double decay, int restarts, ref int info, mlpreport rep) |
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static void | mlpkfoldcvlbfgs (mlpbase.multilayerperceptron network, double[,] xy, int npoints, double decay, int restarts, double wstep, int maxits, int foldscount, ref int info, mlpreport rep, mlpcvreport cvrep) |
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static void | mlpkfoldcvlm (mlpbase.multilayerperceptron network, double[,] xy, int npoints, double decay, int restarts, int foldscount, ref int info, mlpreport rep, mlpcvreport cvrep) |
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static void | mlpkfoldcv (mlptrainer s, mlpbase.multilayerperceptron network, int nrestarts, int foldscount, mlpreport rep) |
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static void | _pexec_mlpkfoldcv (mlptrainer s, mlpbase.multilayerperceptron network, int nrestarts, int foldscount, mlpreport rep) |
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static void | mlpcreatetrainer (int nin, int nout, mlptrainer s) |
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static void | mlpcreatetrainercls (int nin, int nclasses, mlptrainer s) |
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static void | mlpsetdataset (mlptrainer s, double[,] xy, int npoints) |
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static void | mlpsetsparsedataset (mlptrainer s, sparse.sparsematrix xy, int npoints) |
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static void | mlpsetdecay (mlptrainer s, double decay) |
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static void | mlpsetcond (mlptrainer s, double wstep, int maxits) |
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static void | mlpsetalgobatch (mlptrainer s) |
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static void | mlptrainnetwork (mlptrainer s, mlpbase.multilayerperceptron network, int nrestarts, mlpreport rep) |
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static void | _pexec_mlptrainnetwork (mlptrainer s, mlpbase.multilayerperceptron network, int nrestarts, mlpreport rep) |
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static void | mlpstarttraining (mlptrainer s, mlpbase.multilayerperceptron network, bool randomstart) |
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static bool | mlpcontinuetraining (mlptrainer s, mlpbase.multilayerperceptron network) |
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static bool | _pexec_mlpcontinuetraining (mlptrainer s, mlpbase.multilayerperceptron network) |
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static void | mlpebagginglm (mlpe.mlpensemble ensemble, double[,] xy, int npoints, double decay, int restarts, ref int info, mlpreport rep, mlpcvreport ooberrors) |
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static void | mlpebagginglbfgs (mlpe.mlpensemble ensemble, double[,] xy, int npoints, double decay, int restarts, double wstep, int maxits, ref int info, mlpreport rep, mlpcvreport ooberrors) |
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static void | mlpetraines (mlpe.mlpensemble ensemble, double[,] xy, int npoints, double decay, int restarts, ref int info, mlpreport rep) |
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static void | mlptrainensemblees (mlptrainer s, mlpe.mlpensemble ensemble, int nrestarts, mlpreport rep) |
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static void | _pexec_mlptrainensemblees (mlptrainer s, mlpe.mlpensemble ensemble, int nrestarts, mlpreport rep) |
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static void | mlpkfoldcvgeneral (mlpbase.multilayerperceptron n, double[,] xy, int npoints, double decay, int restarts, int foldscount, bool lmalgorithm, double wstep, int maxits, ref int info, mlpreport rep, mlpcvreport cvrep) |
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static void | mlpkfoldsplit (double[,] xy, int npoints, int nclasses, int foldscount, bool stratifiedsplits, ref int[] folds) |
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static void | mlpkfoldcvgeneral (mlpbase.multilayerperceptron n, double[,] xy, int npoints, double decay, int restarts, int foldscount, bool lmalgorithm, double wstep, int maxits, ref int info, mlpreport rep, mlpcvreport cvrep) |
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static void | mlpkfoldsplit (double[,] xy, int npoints, int nclasses, int foldscount, bool stratifiedsplits, ref int[] folds) |
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static void | mthreadcv (mlptrainer s, int rowsize, int nrestarts, int[] folds, int fold, int dfold, double[,] cvy, alglib.smp.shared_pool pooldatacv) |
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static void | mlptrainnetworkx (mlptrainer s, int nrestarts, int algokind, int[] trnsubset, int trnsubsetsize, int[] valsubset, int valsubsetsize, mlpbase.multilayerperceptron network, mlpreport rep, bool isrootcall, alglib.smp.shared_pool sessions) |
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static void | mlptrainensemblex (mlptrainer s, mlpe.mlpensemble ensemble, int idx0, int idx1, int nrestarts, int trainingmethod, apserv.sinteger ngrad, bool isrootcall, alglib.smp.shared_pool esessions) |
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static void | mlpstarttrainingx (mlptrainer s, bool randomstart, int algokind, int[] subset, int subsetsize, smlptrnsession session) |
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static bool | mlpcontinuetrainingx (mlptrainer s, int[] subset, int subsetsize, ref int ngradbatch, smlptrnsession session) |
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static void | mlpebagginginternal (mlpe.mlpensemble ensemble, double[,] xy, int npoints, double decay, int restarts, double wstep, int maxits, bool lmalgorithm, ref int info, mlpreport rep, mlpcvreport ooberrors) |
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static void | initmlptrnsession (mlpbase.multilayerperceptron networktrained, bool randomizenetwork, mlptrainer trainer, smlptrnsession session) |
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static void | initmlptrnsessions (mlpbase.multilayerperceptron networktrained, bool randomizenetwork, mlptrainer trainer, alglib.smp.shared_pool sessions) |
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static void | initmlpetrnsession (mlpbase.multilayerperceptron individualnetwork, mlptrainer trainer, mlpetrnsession session) |
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static void | initmlpetrnsessions (mlpbase.multilayerperceptron individualnetwork, mlptrainer trainer, alglib.smp.shared_pool sessions) |
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