C# alglib.unserialize_int方法代码示例

        /*************************************************************************
        Serializer: unserialization

          -- ALGLIB --
             Copyright 14.03.2011 by Bochkanov Sergey
        *************************************************************************/
        public static void dfunserialize(alglib.serializer s,
            decisionforest forest)
        {
            int i0 = 0;
            int i1 = 0;

            
            //
            // check correctness of header
            //
            i0 = s.unserialize_int();
            alglib.ap.assert(i0==scodes.getrdfserializationcode(), "DFUnserialize: stream header corrupted");
            i1 = s.unserialize_int();
            alglib.ap.assert(i1==dffirstversion, "DFUnserialize: stream header corrupted");
            
            //
            // Unserialize data
            //
            forest.nvars = s.unserialize_int();
            forest.nclasses = s.unserialize_int();
            forest.ntrees = s.unserialize_int();
            forest.bufsize = s.unserialize_int();
            apserv.unserializerealarray(s, ref forest.trees);
        }

        /*************************************************************************
        Serializer: unserialization

          -- ALGLIB --
             Copyright 14.03.2011 by Bochkanov Sergey
        *************************************************************************/
        public static void kdtreeunserialize(alglib.serializer s,
            kdtree tree)
        {
            int i0 = 0;
            int i1 = 0;

            
            //
            // check correctness of header
            //
            i0 = s.unserialize_int();
            alglib.ap.assert(i0==scodes.getkdtreeserializationcode(), "KDTreeUnserialize: stream header corrupted");
            i1 = s.unserialize_int();
            alglib.ap.assert(i1==kdtreefirstversion, "KDTreeUnserialize: stream header corrupted");
            
            //
            // Unserialize data
            //
            tree.n = s.unserialize_int();
            tree.nx = s.unserialize_int();
            tree.ny = s.unserialize_int();
            tree.normtype = s.unserialize_int();
            apserv.unserializerealmatrix(s, ref tree.xy);
            apserv.unserializeintegerarray(s, ref tree.tags);
            apserv.unserializerealarray(s, ref tree.boxmin);
            apserv.unserializerealarray(s, ref tree.boxmax);
            apserv.unserializeintegerarray(s, ref tree.nodes);
            apserv.unserializerealarray(s, ref tree.splits);
            kdtreealloctemporaries(tree, tree.n, tree.nx, tree.ny);
        }

        /*************************************************************************
        Serializer: unserialization

          -- ALGLIB --
             Copyright 14.03.2011 by Bochkanov Sergey
        *************************************************************************/
        public static void mlpunserialize(alglib.serializer s,
            multilayerperceptron network)
        {
            int i0 = 0;
            int i1 = 0;
            int i = 0;
            int j = 0;
            int k = 0;
            int fkind = 0;
            double threshold = 0;
            double v0 = 0;
            double v1 = 0;
            int nin = 0;
            int nout = 0;
            bool issoftmax = new bool();
            int[] layersizes = new int[0];

            
            //
            // check correctness of header
            //
            i0 = s.unserialize_int();
            alglib.ap.assert(i0==scodes.getmlpserializationcode(), "MLPUnserialize: stream header corrupted");
            i1 = s.unserialize_int();
            alglib.ap.assert(i1==mlpfirstversion, "MLPUnserialize: stream header corrupted");
            
            //
            // Create network
            //
            issoftmax = s.unserialize_bool();
            apserv.unserializeintegerarray(s, ref layersizes);
            alglib.ap.assert((alglib.ap.len(layersizes)==2 || alglib.ap.len(layersizes)==3) || alglib.ap.len(layersizes)==4, "MLPUnserialize: too many hidden layers!");
            nin = layersizes[0];
            nout = layersizes[alglib.ap.len(layersizes)-1];
            if( alglib.ap.len(layersizes)==2 )
            {
                if( issoftmax )
                {
                    mlpcreatec0(layersizes[0], layersizes[1], network);
                }
                else
                {
                    mlpcreate0(layersizes[0], layersizes[1], network);
                }
            }
            if( alglib.ap.len(layersizes)==3 )
            {
                if( issoftmax )
                {
                    mlpcreatec1(layersizes[0], layersizes[1], layersizes[2], network);
                }
                else
                {
                    mlpcreate1(layersizes[0], layersizes[1], layersizes[2], network);
                }
            }
            if( alglib.ap.len(layersizes)==4 )
            {
                if( issoftmax )
                {
                    mlpcreatec2(layersizes[0], layersizes[1], layersizes[2], layersizes[3], network);
                }
                else
                {
                    mlpcreate2(layersizes[0], layersizes[1], layersizes[2], layersizes[3], network);
                }
            }
            
            //
            // Load neurons and weights
            //
            for(i=1; i<=alglib.ap.len(layersizes)-1; i++)
            {
                for(j=0; j<=layersizes[i]-1; j++)
                {
                    fkind = s.unserialize_int();
                    threshold = s.unserialize_double();
                    mlpsetneuroninfo(network, i, j, fkind, threshold);
                    for(k=0; k<=layersizes[i-1]-1; k++)
                    {
                        v0 = s.unserialize_double();
                        mlpsetweight(network, i-1, k, i, j, v0);
                    }
                }
            }
            
            //
            // Load standartizator
            //
            for(j=0; j<=nin-1; j++)
            {
                v0 = s.unserialize_double();
                v1 = s.unserialize_double();
                mlpsetinputscaling(network, j, v0, v1);
//.........这里部分代码省略.........

        /*************************************************************************
        Serializer: unserialization

          -- ALGLIB --
             Copyright 14.03.2011 by Bochkanov Sergey
        *************************************************************************/
        public static void mlpeunserialize(alglib.serializer s,
            mlpensemble ensemble)
        {
            int i0 = 0;
            int i1 = 0;

            
            //
            // check correctness of header
            //
            i0 = s.unserialize_int();
            alglib.ap.assert(i0==scodes.getmlpeserializationcode(), "MLPEUnserialize: stream header corrupted");
            i1 = s.unserialize_int();
            alglib.ap.assert(i1==mlpefirstversion, "MLPEUnserialize: stream header corrupted");
            
            //
            // Create network
            //
            ensemble.ensemblesize = s.unserialize_int();
            apserv.unserializerealarray(s, ref ensemble.weights);
            apserv.unserializerealarray(s, ref ensemble.columnmeans);
            apserv.unserializerealarray(s, ref ensemble.columnsigmas);
            mlpbase.mlpunserialize(s, ensemble.network);
            
            //
            // Allocate termoraries
            //
            ensemble.y = new double[mlpbase.mlpgetoutputscount(ensemble.network)];
        }

        /*************************************************************************
        Unserialization: complex value
        *************************************************************************/
        public static void unserializerealmatrix(alglib.serializer s,
            ref double[,] v)
        {
            int i = 0;
            int j = 0;
            int n0 = 0;
            int n1 = 0;
            double t = 0;

            v = new double[0,0];

            n0 = s.unserialize_int();
            n1 = s.unserialize_int();
            if( n0==0 | n1==0 )
            {
                return;
            }
            v = new double[n0, n1];
            for(i=0; i<=n0-1; i++)
            {
                for(j=0; j<=n1-1; j++)
                {
                    t = s.unserialize_double();
                    v[i,j] = t;
                }
            }
        }

        /*************************************************************************
        Unserialization: complex value
        *************************************************************************/
        public static void unserializeintegerarray(alglib.serializer s,
            ref int[] v)
        {
            int n = 0;
            int i = 0;
            int t = 0;

            v = new int[0];

            n = s.unserialize_int();
            if( n==0 )
            {
                return;
            }
            v = new int[n];
            for(i=0; i<=n-1; i++)
            {
                t = s.unserialize_int();
                v[i] = t;
            }
        }

        /*************************************************************************
        Unserialization: complex value
        *************************************************************************/
        public static void unserializerealarray(alglib.serializer s,
            ref double[] v)
        {
            int n = 0;
            int i = 0;
            double t = 0;

            v = new double[0];

            n = s.unserialize_int();
            if( n==0 )
            {
                return;
            }
            v = new double[n];
            for(i=0; i<=n-1; i++)
            {
                t = s.unserialize_double();
                v[i] = t;
            }
        }

        public static void rec4serializationunserialize(alglib.serializer s,
            rec4serialization v)
        {
            int i = 0;
            int k = 0;
            bool bv = new bool();
            int iv = 0;
            double rv = 0;

            
            //
            // boolean fields
            //
            k = s.unserialize_int();
            if( k>0 )
            {
                v.b = new bool[k];
                for(i=0; i<=k-1; i++)
                {
                    bv = s.unserialize_bool();
                    v.b[i] = bv;
                }
            }
            
            //
            // integer fields
            //
            k = s.unserialize_int();
            if( k>0 )
            {
                v.i = new int[k];
                for(i=0; i<=k-1; i++)
                {
                    iv = s.unserialize_int();
                    v.i[i] = iv;
                }
            }
            
            //
            // real fields
            //
            k = s.unserialize_int();
            if( k>0 )
            {
                v.r = new double[k];
                for(i=0; i<=k-1; i++)
                {
                    rv = s.unserialize_double();
                    v.r[i] = rv;
                }
            }
        }

        /*************************************************************************
        Serializer: unserialization

          -- ALGLIB --
             Copyright 02.02.2012 by Bochkanov Sergey
        *************************************************************************/
        public static void rbfunserialize(alglib.serializer s,
            rbfmodel model)
        {
            int i0 = 0;
            int i1 = 0;
            int nx = 0;
            int ny = 0;

            
            //
            // Header
            //
            i0 = s.unserialize_int();
            alglib.ap.assert(i0==scodes.getrbfserializationcode(), "RBFUnserialize: stream header corrupted");
            i1 = s.unserialize_int();
            alglib.ap.assert(i1==rbffirstversion, "RBFUnserialize: stream header corrupted");
            
            //
            // Unserialize primary model parameters, initialize model.
            //
            // It is necessary to call RBFCreate() because some internal fields
            // which are NOT unserialized will need initialization.
            //
            nx = s.unserialize_int();
            ny = s.unserialize_int();
            rbfcreate(nx, ny, model);
            model.nc = s.unserialize_int();
            model.nl = s.unserialize_int();
            nearestneighbor.kdtreeunserialize(s, model.tree);
            apserv.unserializerealmatrix(s, ref model.xc);
            apserv.unserializerealmatrix(s, ref model.wr);
            model.rmax = s.unserialize_double();
            apserv.unserializerealmatrix(s, ref model.v);
        }