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IGLib
1.7.2
The IGLib base library EXTENDED - with other lilbraries and applications.
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This is the complete list of members for alglib.mlpbase, including all inherited members.
| _pexec_mlpallerrorssparsesubset(multilayerperceptron network, sparse.sparsematrix xy, int setsize, int[] subset, int subsetsize, modelerrors rep) | alglib.mlpbase | inlinestatic |
| _pexec_mlpallerrorssubset(multilayerperceptron network, double[,] xy, int setsize, int[] subset, int subsetsize, modelerrors rep) | alglib.mlpbase | inlinestatic |
| _pexec_mlpavgce(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| _pexec_mlpavgcesparse(multilayerperceptron network, sparse.sparsematrix xy, int npoints) | alglib.mlpbase | inlinestatic |
| _pexec_mlpavgerror(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| _pexec_mlpavgerrorsparse(multilayerperceptron network, sparse.sparsematrix xy, int npoints) | alglib.mlpbase | inlinestatic |
| _pexec_mlpavgrelerror(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| _pexec_mlpavgrelerrorsparse(multilayerperceptron network, sparse.sparsematrix xy, int npoints) | alglib.mlpbase | inlinestatic |
| _pexec_mlpclserror(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| _pexec_mlperror(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| _pexec_mlperrorsparse(multilayerperceptron network, sparse.sparsematrix xy, int npoints) | alglib.mlpbase | inlinestatic |
| _pexec_mlperrorsparsesubset(multilayerperceptron network, sparse.sparsematrix xy, int setsize, int[] subset, int subsetsize) | alglib.mlpbase | inlinestatic |
| _pexec_mlperrorsubset(multilayerperceptron network, double[,] xy, int setsize, int[] subset, int subsetsize) | alglib.mlpbase | inlinestatic |
| _pexec_mlpgradbatch(multilayerperceptron network, double[,] xy, int ssize, ref double e, ref double[] grad) | alglib.mlpbase | inlinestatic |
| _pexec_mlpgradbatchsparse(multilayerperceptron network, sparse.sparsematrix xy, int ssize, ref double e, ref double[] grad) | alglib.mlpbase | inlinestatic |
| _pexec_mlpgradbatchsparsesubset(multilayerperceptron network, sparse.sparsematrix xy, int setsize, int[] idx, int subsetsize, ref double e, ref double[] grad) | alglib.mlpbase | inlinestatic |
| _pexec_mlpgradbatchsubset(multilayerperceptron network, double[,] xy, int setsize, int[] idx, int subsetsize, ref double e, ref double[] grad) | alglib.mlpbase | inlinestatic |
| _pexec_mlprelclserror(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| _pexec_mlprelclserrorsparse(multilayerperceptron network, sparse.sparsematrix xy, int npoints) | alglib.mlpbase | inlinestatic |
| _pexec_mlprmserror(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| _pexec_mlprmserrorsparse(multilayerperceptron network, sparse.sparsematrix xy, int npoints) | alglib.mlpbase | inlinestatic |
| addactivationlayer(int functype, ref int[] lsizes, ref int[] ltypes, ref int[] lconnfirst, ref int[] lconnlast, ref int lastproc) | alglib.mlpbase | inlineprivatestatic |
| addactivationlayer(int functype, ref int[] lsizes, ref int[] ltypes, ref int[] lconnfirst, ref int[] lconnlast, ref int lastproc) | alglib.mlpbase | inlineprivatestatic |
| addbiasedsummatorlayer(int ncount, ref int[] lsizes, ref int[] ltypes, ref int[] lconnfirst, ref int[] lconnlast, ref int lastproc) | alglib.mlpbase | inlineprivatestatic |
| addbiasedsummatorlayer(int ncount, ref int[] lsizes, ref int[] ltypes, ref int[] lconnfirst, ref int[] lconnlast, ref int lastproc) | alglib.mlpbase | inlineprivatestatic |
| addinputlayer(int ncount, ref int[] lsizes, ref int[] ltypes, ref int[] lconnfirst, ref int[] lconnlast, ref int lastproc) | alglib.mlpbase | inlineprivatestatic |
| addinputlayer(int ncount, ref int[] lsizes, ref int[] ltypes, ref int[] lconnfirst, ref int[] lconnlast, ref int lastproc) | alglib.mlpbase | inlineprivatestatic |
| addzerolayer(ref int[] lsizes, ref int[] ltypes, ref int[] lconnfirst, ref int[] lconnlast, ref int lastproc) | alglib.mlpbase | inlineprivatestatic |
| addzerolayer(ref int[] lsizes, ref int[] ltypes, ref int[] lconnfirst, ref int[] lconnlast, ref int lastproc) | alglib.mlpbase | inlineprivatestatic |
| chunksize | alglib.mlpbase | |
| fillhighlevelinformation(multilayerperceptron network, int nin, int nhid1, int nhid2, int nout, bool iscls, bool islinearout) | alglib.mlpbase | inlineprivatestatic |
| fillhighlevelinformation(multilayerperceptron network, int nin, int nhid1, int nhid2, int nout, bool iscls, bool islinearout) | alglib.mlpbase | inlineprivatestatic |
| gradbasecasecost | alglib.mlpbase | |
| hladdhiddenlayer(multilayerperceptron network, ref int connidx, ref int neuroidx, ref int structinfoidx, ref int weightsidx, int k, int nprev, int ncur) | alglib.mlpbase | inlineprivatestatic |
| hladdhiddenlayer(multilayerperceptron network, ref int connidx, ref int neuroidx, ref int structinfoidx, ref int weightsidx, int k, int nprev, int ncur) | alglib.mlpbase | inlineprivatestatic |
| hladdinputlayer(multilayerperceptron network, ref int connidx, ref int neuroidx, ref int structinfoidx, int nin) | alglib.mlpbase | inlineprivatestatic |
| hladdinputlayer(multilayerperceptron network, ref int connidx, ref int neuroidx, ref int structinfoidx, int nin) | alglib.mlpbase | inlineprivatestatic |
| hladdoutputlayer(multilayerperceptron network, ref int connidx, ref int neuroidx, ref int structinfoidx, ref int weightsidx, int k, int nprev, int nout, bool iscls, bool islinearout) | alglib.mlpbase | inlineprivatestatic |
| hladdoutputlayer(multilayerperceptron network, ref int connidx, ref int neuroidx, ref int structinfoidx, ref int weightsidx, int k, int nprev, int nout, bool iscls, bool islinearout) | alglib.mlpbase | inlineprivatestatic |
| hlconnfieldwidth | alglib.mlpbase | |
| hlnfieldwidth | alglib.mlpbase | |
| microbatchsize | alglib.mlpbase | |
| mlpactivationfunction(double net, int k, ref double f, ref double df, ref double d2f) | alglib.mlpbase | inlinestatic |
| mlpactivationfunction(double net, int k, ref double f, ref double df, ref double d2f) | alglib.mlpbase | inlinestatic |
| mlpallerrorssparsesubset(multilayerperceptron network, sparse.sparsematrix xy, int setsize, int[] subset, int subsetsize, modelerrors rep) | alglib.mlpbase | inlinestatic |
| mlpallerrorssubset(multilayerperceptron network, double[,] xy, int setsize, int[] subset, int subsetsize, modelerrors rep) | alglib.mlpbase | inlinestatic |
| mlpallerrorsx(multilayerperceptron network, double[,] densexy, sparse.sparsematrix sparsexy, int datasetsize, int datasettype, int[] idx, int subset0, int subset1, int subsettype, alglib.smp.shared_pool buf, modelerrors rep) | alglib.mlpbase | inlinestatic |
| mlpalloc(alglib.serializer s, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpalloc(alglib.serializer s, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpavgce(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlpavgce(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlpavgcesparse(multilayerperceptron network, sparse.sparsematrix xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlpavgerror(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlpavgerror(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlpavgerrorsparse(multilayerperceptron network, sparse.sparsematrix xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlpavgrelerror(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlpavgrelerror(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlpavgrelerrorsparse(multilayerperceptron network, sparse.sparsematrix xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlpchunkedgradient(multilayerperceptron network, double[,] xy, int cstart, int csize, ref double e, ref double[] grad, bool naturalerrorfunc) | alglib.mlpbase | inlineprivatestatic |
| mlpchunkedgradient(multilayerperceptron network, double[,] xy, int cstart, int csize, double[] batch4buf, double[] hpcbuf, ref double e, bool naturalerrorfunc) | alglib.mlpbase | inlineprivatestatic |
| mlpchunkedprocess(multilayerperceptron network, double[,] xy, int cstart, int csize, double[] batch4buf, double[] hpcbuf) | alglib.mlpbase | inlineprivatestatic |
| mlpclserror(multilayerperceptron network, double[,] xy, int ssize) | alglib.mlpbase | inlinestatic |
| mlpclserror(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlpcopy(multilayerperceptron network1, multilayerperceptron network2) | alglib.mlpbase | inlinestatic |
| mlpcopy(multilayerperceptron network1, multilayerperceptron network2) | alglib.mlpbase | inlinestatic |
| mlpcopyshared(multilayerperceptron network1, multilayerperceptron network2) | alglib.mlpbase | inlinestatic |
| mlpcopytunableparameters(multilayerperceptron network1, multilayerperceptron network2) | alglib.mlpbase | inlinestatic |
| mlpcreate(int nin, int nout, int[] lsizes, int[] ltypes, int[] lconnfirst, int[] lconnlast, int layerscount, bool isclsnet, multilayerperceptron network) | alglib.mlpbase | inlineprivatestatic |
| mlpcreate(int nin, int nout, int[] lsizes, int[] ltypes, int[] lconnfirst, int[] lconnlast, int layerscount, bool isclsnet, multilayerperceptron network) | alglib.mlpbase | inlineprivatestatic |
| mlpcreate0(int nin, int nout, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreate0(int nin, int nout, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreate1(int nin, int nhid, int nout, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreate1(int nin, int nhid, int nout, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreate2(int nin, int nhid1, int nhid2, int nout, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreate2(int nin, int nhid1, int nhid2, int nout, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreateb0(int nin, int nout, double b, double d, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreateb0(int nin, int nout, double b, double d, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreateb1(int nin, int nhid, int nout, double b, double d, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreateb1(int nin, int nhid, int nout, double b, double d, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreateb2(int nin, int nhid1, int nhid2, int nout, double b, double d, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreateb2(int nin, int nhid1, int nhid2, int nout, double b, double d, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreatec0(int nin, int nout, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreatec0(int nin, int nout, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreatec1(int nin, int nhid, int nout, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreatec1(int nin, int nhid, int nout, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreatec2(int nin, int nhid1, int nhid2, int nout, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreatec2(int nin, int nhid1, int nhid2, int nout, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreater0(int nin, int nout, double a, double b, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreater0(int nin, int nout, double a, double b, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreater1(int nin, int nhid, int nout, double a, double b, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreater1(int nin, int nhid, int nout, double a, double b, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreater2(int nin, int nhid1, int nhid2, int nout, double a, double b, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpcreater2(int nin, int nhid1, int nhid2, int nout, double a, double b, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlperror(multilayerperceptron network, double[,] xy, int ssize) | alglib.mlpbase | inlinestatic |
| mlperror(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlperrorn(multilayerperceptron network, double[,] xy, int ssize) | alglib.mlpbase | inlinestatic |
| mlperrorn(multilayerperceptron network, double[,] xy, int ssize) | alglib.mlpbase | inlinestatic |
| mlperrorsparse(multilayerperceptron network, sparse.sparsematrix xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlperrorsparsesubset(multilayerperceptron network, sparse.sparsematrix xy, int setsize, int[] subset, int subsetsize) | alglib.mlpbase | inlinestatic |
| mlperrorsubset(multilayerperceptron network, double[,] xy, int setsize, int[] subset, int subsetsize) | alglib.mlpbase | inlinestatic |
| mlpexporttunableparameters(multilayerperceptron network, ref double[] p, ref int pcount) | alglib.mlpbase | inlinestatic |
| mlpfirstversion | alglib.mlpbase | |
| mlpgetinputscaling(multilayerperceptron network, int i, ref double mean, ref double sigma) | alglib.mlpbase | inlinestatic |
| mlpgetinputscaling(multilayerperceptron network, int i, ref double mean, ref double sigma) | alglib.mlpbase | inlinestatic |
| mlpgetinputscount(multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpgetinputscount(multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpgetlayerscount(multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpgetlayerscount(multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpgetlayersize(multilayerperceptron network, int k) | alglib.mlpbase | inlinestatic |
| mlpgetlayersize(multilayerperceptron network, int k) | alglib.mlpbase | inlinestatic |
| mlpgetneuroninfo(multilayerperceptron network, int k, int i, ref int fkind, ref double threshold) | alglib.mlpbase | inlinestatic |
| mlpgetneuroninfo(multilayerperceptron network, int k, int i, ref int fkind, ref double threshold) | alglib.mlpbase | inlinestatic |
| mlpgetoutputscaling(multilayerperceptron network, int i, ref double mean, ref double sigma) | alglib.mlpbase | inlinestatic |
| mlpgetoutputscaling(multilayerperceptron network, int i, ref double mean, ref double sigma) | alglib.mlpbase | inlinestatic |
| mlpgetoutputscount(multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpgetoutputscount(multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpgetweight(multilayerperceptron network, int k0, int i0, int k1, int i1) | alglib.mlpbase | inlinestatic |
| mlpgetweight(multilayerperceptron network, int k0, int i0, int k1, int i1) | alglib.mlpbase | inlinestatic |
| mlpgetweightscount(multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpgetweightscount(multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpgrad(multilayerperceptron network, double[] x, double[] desiredy, ref double e, ref double[] grad) | alglib.mlpbase | inlinestatic |
| mlpgrad(multilayerperceptron network, double[] x, double[] desiredy, ref double e, ref double[] grad) | alglib.mlpbase | inlinestatic |
| mlpgradbatch(multilayerperceptron network, double[,] xy, int ssize, ref double e, ref double[] grad) | alglib.mlpbase | inlinestatic |
| mlpgradbatch(multilayerperceptron network, double[,] xy, int ssize, ref double e, ref double[] grad) | alglib.mlpbase | inlinestatic |
| mlpgradbatchsparse(multilayerperceptron network, sparse.sparsematrix xy, int ssize, ref double e, ref double[] grad) | alglib.mlpbase | inlinestatic |
| mlpgradbatchsparsesubset(multilayerperceptron network, sparse.sparsematrix xy, int setsize, int[] idx, int subsetsize, ref double e, ref double[] grad) | alglib.mlpbase | inlinestatic |
| mlpgradbatchsubset(multilayerperceptron network, double[,] xy, int setsize, int[] idx, int subsetsize, ref double e, ref double[] grad) | alglib.mlpbase | inlinestatic |
| mlpgradbatchx(multilayerperceptron network, double[,] densexy, sparse.sparsematrix sparsexy, int datasetsize, int datasettype, int[] idx, int subset0, int subset1, int subsettype, alglib.smp.shared_pool buf, alglib.smp.shared_pool gradbuf) | alglib.mlpbase | inlinestatic |
| mlpgradn(multilayerperceptron network, double[] x, double[] desiredy, ref double e, ref double[] grad) | alglib.mlpbase | inlinestatic |
| mlpgradn(multilayerperceptron network, double[] x, double[] desiredy, ref double e, ref double[] grad) | alglib.mlpbase | inlinestatic |
| mlpgradnbatch(multilayerperceptron network, double[,] xy, int ssize, ref double e, ref double[] grad) | alglib.mlpbase | inlinestatic |
| mlpgradnbatch(multilayerperceptron network, double[,] xy, int ssize, ref double e, ref double[] grad) | alglib.mlpbase | inlinestatic |
| mlpgradsplitcost() | alglib.mlpbase | inlinestatic |
| mlpgradsplitsize() | alglib.mlpbase | inlinestatic |
| mlphessianbatch(multilayerperceptron network, double[,] xy, int ssize, ref double e, ref double[] grad, ref double[,] h) | alglib.mlpbase | inlinestatic |
| mlphessianbatch(multilayerperceptron network, double[,] xy, int ssize, ref double e, ref double[] grad, ref double[,] h) | alglib.mlpbase | inlinestatic |
| mlphessianbatchinternal(multilayerperceptron network, double[,] xy, int ssize, bool naturalerr, ref double e, ref double[] grad, ref double[,] h) | alglib.mlpbase | inlineprivatestatic |
| mlphessianbatchinternal(multilayerperceptron network, double[,] xy, int ssize, bool naturalerr, ref double e, ref double[] grad, ref double[,] h) | alglib.mlpbase | inlineprivatestatic |
| mlphessiannbatch(multilayerperceptron network, double[,] xy, int ssize, ref double e, ref double[] grad, ref double[,] h) | alglib.mlpbase | inlinestatic |
| mlphessiannbatch(multilayerperceptron network, double[,] xy, int ssize, ref double e, ref double[] grad, ref double[,] h) | alglib.mlpbase | inlinestatic |
| mlpimporttunableparameters(multilayerperceptron network, double[] p) | alglib.mlpbase | inlinestatic |
| mlpinitpreprocessor(multilayerperceptron network, double[,] xy, int ssize) | alglib.mlpbase | inlinestatic |
| mlpinitpreprocessor(multilayerperceptron network, double[,] xy, int ssize) | alglib.mlpbase | inlinestatic |
| mlpinitpreprocessorsparse(multilayerperceptron network, sparse.sparsematrix xy, int ssize) | alglib.mlpbase | inlinestatic |
| mlpinitpreprocessorsparsesubset(multilayerperceptron network, sparse.sparsematrix xy, int setsize, int[] idx, int subsetsize) | alglib.mlpbase | inlinestatic |
| mlpinitpreprocessorsubset(multilayerperceptron network, double[,] xy, int setsize, int[] idx, int subsetsize) | alglib.mlpbase | inlinestatic |
| mlpinternalcalculategradient(multilayerperceptron network, double[] neurons, double[] weights, ref double[] derror, ref double[] grad, bool naturalerrorfunc) | alglib.mlpbase | inlineprivatestatic |
| mlpinternalcalculategradient(multilayerperceptron network, double[] neurons, double[] weights, ref double[] derror, ref double[] grad, bool naturalerrorfunc) | alglib.mlpbase | inlineprivatestatic |
| mlpinternalprocessvector(int[] structinfo, double[] weights, double[] columnmeans, double[] columnsigmas, ref double[] neurons, ref double[] dfdnet, double[] x, ref double[] y) | alglib.mlpbase | inlinestatic |
| mlpinternalprocessvector(int[] structinfo, double[] weights, double[] columnmeans, double[] columnsigmas, ref double[] neurons, ref double[] dfdnet, double[] x, ref double[] y) | alglib.mlpbase | inlinestatic |
| mlpissoftmax(multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpissoftmax(multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpntotal(multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpprocess(multilayerperceptron network, double[] x, ref double[] y) | alglib.mlpbase | inlinestatic |
| mlpprocess(multilayerperceptron network, double[] x, ref double[] y) | alglib.mlpbase | inlinestatic |
| mlpprocessi(multilayerperceptron network, double[] x, ref double[] y) | alglib.mlpbase | inlinestatic |
| mlpprocessi(multilayerperceptron network, double[] x, ref double[] y) | alglib.mlpbase | inlinestatic |
| mlpproperties(multilayerperceptron network, ref int nin, ref int nout, ref int wcount) | alglib.mlpbase | inlinestatic |
| mlpproperties(multilayerperceptron network, ref int nin, ref int nout, ref int wcount) | alglib.mlpbase | inlinestatic |
| mlprandomize(multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlprandomize(multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlprandomizefull(multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlprandomizefull(multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlprelclserror(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlprelclserror(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlprelclserrorsparse(multilayerperceptron network, sparse.sparsematrix xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlprmserror(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlprmserror(multilayerperceptron network, double[,] xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlprmserrorsparse(multilayerperceptron network, sparse.sparsematrix xy, int npoints) | alglib.mlpbase | inlinestatic |
| mlpsamearchitecture(multilayerperceptron network1, multilayerperceptron network2) | alglib.mlpbase | inlinestatic |
| mlpserialize(alglib.serializer s, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpserialize(alglib.serializer s, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpserializeold(multilayerperceptron network, ref double[] ra, ref int rlen) | alglib.mlpbase | inlinestatic |
| mlpserializeold(multilayerperceptron network, ref double[] ra, ref int rlen) | alglib.mlpbase | inlinestatic |
| mlpsetinputscaling(multilayerperceptron network, int i, double mean, double sigma) | alglib.mlpbase | inlinestatic |
| mlpsetinputscaling(multilayerperceptron network, int i, double mean, double sigma) | alglib.mlpbase | inlinestatic |
| mlpsetneuroninfo(multilayerperceptron network, int k, int i, int fkind, double threshold) | alglib.mlpbase | inlinestatic |
| mlpsetneuroninfo(multilayerperceptron network, int k, int i, int fkind, double threshold) | alglib.mlpbase | inlinestatic |
| mlpsetoutputscaling(multilayerperceptron network, int i, double mean, double sigma) | alglib.mlpbase | inlinestatic |
| mlpsetoutputscaling(multilayerperceptron network, int i, double mean, double sigma) | alglib.mlpbase | inlinestatic |
| mlpsetweight(multilayerperceptron network, int k0, int i0, int k1, int i1, double w) | alglib.mlpbase | inlinestatic |
| mlpsetweight(multilayerperceptron network, int k0, int i0, int k1, int i1, double w) | alglib.mlpbase | inlinestatic |
| mlpunserialize(alglib.serializer s, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpunserialize(alglib.serializer s, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpunserializeold(double[] ra, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpunserializeold(double[] ra, multilayerperceptron network) | alglib.mlpbase | inlinestatic |
| mlpvnum | alglib.mlpbase | |
| nfieldwidth | alglib.mlpbase | |
| randomizebackwardpass(multilayerperceptron network, int neuronidx, double v) | alglib.mlpbase | inlineprivatestatic |
| safecrossentropy(double t, double z) | alglib.mlpbase | inlineprivatestatic |
| safecrossentropy(double t, double z) | alglib.mlpbase | inlineprivatestatic |