/*************************************************************************
Serializer: serialization
-- ALGLIB --
Copyright 14.03.2011 by Bochkanov Sergey
*************************************************************************/
public static void kdtreeserialize(alglib.serializer s,
kdtree tree) {
//
// Header
//
s.serialize_int(scodes.getkdtreeserializationcode());
s.serialize_int(kdtreefirstversion);
//
// Data
//
s.serialize_int(tree.n);
s.serialize_int(tree.nx);
s.serialize_int(tree.ny);
s.serialize_int(tree.normtype);
apserv.serializerealmatrix(s, tree.xy, -1, -1);
apserv.serializeintegerarray(s, tree.tags, -1);
apserv.serializerealarray(s, tree.boxmin, -1);
apserv.serializerealarray(s, tree.boxmax, -1);
apserv.serializeintegerarray(s, tree.nodes, -1);
apserv.serializerealarray(s, tree.splits, -1);
}
/*************************************************************************
Serializer: serialization
-- ALGLIB --
Copyright 14.03.2011 by Bochkanov Sergey
*************************************************************************/
public static void dfserialize(alglib.serializer s,
decisionforest forest) {
s.serialize_int(scodes.getrdfserializationcode());
s.serialize_int(dffirstversion);
s.serialize_int(forest.nvars);
s.serialize_int(forest.nclasses);
s.serialize_int(forest.ntrees);
s.serialize_int(forest.bufsize);
apserv.serializerealarray(s, forest.trees, forest.bufsize);
}
/*************************************************************************
Serializer: serialization
-- ALGLIB --
Copyright 14.03.2011 by Bochkanov Sergey
*************************************************************************/
public static void mlpserialize(alglib.serializer s,
multilayerperceptron network) {
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;
nin = network.hllayersizes[0];
nout = network.hllayersizes[ap.len(network.hllayersizes) - 1];
s.serialize_int(scodes.getmlpserializationcode());
s.serialize_int(mlpfirstversion);
s.serialize_bool(mlpissoftmax(network));
apserv.serializeintegerarray(s, network.hllayersizes, -1);
for(i = 1; i <= ap.len(network.hllayersizes) - 1; i++) {
for(j = 0; j <= network.hllayersizes[i] - 1; j++) {
mlpgetneuroninfo(network, i, j, ref fkind, ref threshold);
s.serialize_int(fkind);
s.serialize_double(threshold);
for(k = 0; k <= network.hllayersizes[i - 1] - 1; k++) {
s.serialize_double(mlpgetweight(network, i - 1, k, i, j));
}
}
}
for(j = 0; j <= nin - 1; j++) {
mlpgetinputscaling(network, j, ref v0, ref v1);
s.serialize_double(v0);
s.serialize_double(v1);
}
for(j = 0; j <= nout - 1; j++) {
mlpgetoutputscaling(network, j, ref v0, ref v1);
s.serialize_double(v0);
s.serialize_double(v1);
}
}
/*************************************************************************
Serialization: Integer array
*************************************************************************/
public static void serializeintegerarray(alglib.serializer s,
int[] v,
int n) {
int i = 0;
if(n < 0) {
n = ap.len(v);
}
s.serialize_int(n);
for(i = 0; i <= n - 1; i++) {
s.serialize_int(v[i]);
}
}
/*************************************************************************
Serialization: complex value
*************************************************************************/
public static void serializerealarray(alglib.serializer s,
double[] v,
int n) {
int i = 0;
if(n < 0) {
n = ap.len(v);
}
s.serialize_int(n);
for(i = 0; i <= n - 1; i++) {
s.serialize_double(v[i]);
}
}
/*************************************************************************
Serialization: complex value
*************************************************************************/
public static void serializerealmatrix(alglib.serializer s,
double[,] v,
int n0,
int n1) {
int i = 0;
int j = 0;
if(n0 < 0) {
n0 = ap.rows(v);
}
if(n1 < 0) {
n1 = ap.cols(v);
}
s.serialize_int(n0);
s.serialize_int(n1);
for(i = 0; i <= n0 - 1; i++) {
for(j = 0; j <= n1 - 1; j++) {
s.serialize_double(v[i, j]);
}
}
}