IGLib  1.7.2
The IGLib base library EXTENDED - with other lilbraries and applications.
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alglib.mlptrain Member List

This is the complete list of members for alglib.mlptrain, including all inherited members.

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