00001
00009 #include "party.h"
00010
00011
00021 void C_splitnode(SEXP node, SEXP learnsample, SEXP control) {
00022
00023 SEXP weights, leftnode, rightnode, split;
00024 SEXP responses, inputs, whichNA;
00025 double cutpoint, *dx, *dweights, *leftweights, *rightweights;
00026 double sleft = 0.0, sright = 0.0;
00027 int *ix, *levelset, *iwhichNA;
00028 int nobs, i, nna;
00029
00030 weights = S3get_nodeweights(node);
00031 dweights = REAL(weights);
00032 responses = GET_SLOT(learnsample, PL2_responsesSym);
00033 inputs = GET_SLOT(learnsample, PL2_inputsSym);
00034 nobs = get_nobs(learnsample);
00035
00036
00037 SET_VECTOR_ELT(node, S3_LEFT, leftnode = allocVector(VECSXP, NODE_LENGTH));
00038 C_init_node(leftnode, nobs,
00039 get_ninputs(learnsample), get_maxsurrogate(get_splitctrl(control)),
00040 ncol(get_predict_trafo(GET_SLOT(learnsample, PL2_responsesSym))));
00041 leftweights = REAL(S3get_nodeweights(leftnode));
00042
00043
00044 SET_VECTOR_ELT(node, S3_RIGHT,
00045 rightnode = allocVector(VECSXP, NODE_LENGTH));
00046 C_init_node(rightnode, nobs,
00047 get_ninputs(learnsample), get_maxsurrogate(get_splitctrl(control)),
00048 ncol(get_predict_trafo(GET_SLOT(learnsample, PL2_responsesSym))));
00049 rightweights = REAL(S3get_nodeweights(rightnode));
00050
00051
00052 split = S3get_primarysplit(node);
00053 if (has_missings(inputs, S3get_variableID(split))) {
00054 whichNA = get_missings(inputs, S3get_variableID(split));
00055 iwhichNA = INTEGER(whichNA);
00056 nna = LENGTH(whichNA);
00057 } else {
00058 nna = 0;
00059 whichNA = R_NilValue;
00060 iwhichNA = NULL;
00061 }
00062
00063 if (S3is_ordered(split)) {
00064 cutpoint = REAL(S3get_splitpoint(split))[0];
00065 dx = REAL(get_variable(inputs, S3get_variableID(split)));
00066 for (i = 0; i < nobs; i++) {
00067 if (nna > 0) {
00068 if (i_in_set(i + 1, iwhichNA, nna)) continue;
00069 }
00070 if (dx[i] <= cutpoint)
00071 leftweights[i] = dweights[i];
00072 else
00073 leftweights[i] = 0.0;
00074 rightweights[i] = dweights[i] - leftweights[i];
00075 sleft += leftweights[i];
00076 sright += rightweights[i];
00077 }
00078 } else {
00079 levelset = INTEGER(S3get_splitpoint(split));
00080 ix = INTEGER(get_variable(inputs, S3get_variableID(split)));
00081
00082 for (i = 0; i < nobs; i++) {
00083 if (nna > 0) {
00084 if (i_in_set(i + 1, iwhichNA, nna)) continue;
00085 }
00086 if (levelset[ix[i] - 1])
00087 leftweights[i] = dweights[i];
00088 else
00089 leftweights[i] = 0.0;
00090 rightweights[i] = dweights[i] - leftweights[i];
00091 sleft += leftweights[i];
00092 sright += rightweights[i];
00093 }
00094 }
00095
00096
00097 if (nna > 0) {
00098 for (i = 0; i < nna; i++) {
00099 if (sleft > sright) {
00100 leftweights[iwhichNA[i] - 1] = dweights[iwhichNA[i] - 1];
00101 rightweights[iwhichNA[i] - 1] = 0.0;
00102 } else {
00103 rightweights[iwhichNA[i] - 1] = dweights[iwhichNA[i] - 1];
00104 leftweights[iwhichNA[i] - 1] = 0.0;
00105 }
00106 }
00107 }
00108 }
00109
00110
00120 SEXP C_get_node(SEXP subtree, SEXP newinputs,
00121 double mincriterion, int numobs) {
00122
00123 SEXP split, whichNA, weights, ssplit, surrsplit;
00124 double cutpoint, x, *dweights, swleft, swright;
00125 int level, *levelset, i, ns;
00126
00127 if (S3get_nodeterminal(subtree) ||
00128 REAL(S3get_maxcriterion(subtree))[0] < mincriterion)
00129 return(subtree);
00130
00131 split = S3get_primarysplit(subtree);
00132
00133
00134
00135 if (has_missings(newinputs, S3get_variableID(split))) {
00136 whichNA = get_missings(newinputs, S3get_variableID(split));
00137
00138 if (C_i_in_set(numobs, whichNA)) {
00139
00140 surrsplit = S3get_surrogatesplits(subtree);
00141 ns = 0;
00142 i = numobs;
00143
00144
00145 while(TRUE) {
00146
00147 if (ns >= LENGTH(surrsplit)) break;
00148
00149 ssplit = VECTOR_ELT(surrsplit, ns);
00150 if (has_missings(newinputs, S3get_variableID(ssplit))) {
00151 if (INTEGER(get_missings(newinputs,
00152 S3get_variableID(ssplit)))[i]) {
00153 ns++;
00154 continue;
00155 }
00156 }
00157
00158 cutpoint = REAL(S3get_splitpoint(ssplit))[0];
00159 x = REAL(get_variable(newinputs, S3get_variableID(ssplit)))[i];
00160
00161 if (S3get_toleft(ssplit)) {
00162 if (x <= cutpoint) {
00163 return(C_get_node(S3get_leftnode(subtree),
00164 newinputs, mincriterion, numobs));
00165 } else {
00166 return(C_get_node(S3get_rightnode(subtree),
00167 newinputs, mincriterion, numobs));
00168 }
00169 } else {
00170 if (x <= cutpoint) {
00171 return(C_get_node(S3get_rightnode(subtree),
00172 newinputs, mincriterion, numobs));
00173 } else {
00174 return(C_get_node(S3get_leftnode(subtree),
00175 newinputs, mincriterion, numobs));
00176 }
00177 }
00178 break;
00179 }
00180
00181
00182 swleft = S3get_sumweights(S3get_leftnode(subtree));
00183 swright = S3get_sumweights(S3get_rightnode(subtree));
00184 if (swleft > swright) {
00185 return(C_get_node(S3get_leftnode(subtree),
00186 newinputs, mincriterion, numobs));
00187 } else {
00188 return(C_get_node(S3get_rightnode(subtree),
00189 newinputs, mincriterion, numobs));
00190 }
00191 }
00192 }
00193
00194 if (S3is_ordered(split)) {
00195 cutpoint = REAL(S3get_splitpoint(split))[0];
00196 x = REAL(get_variable(newinputs,
00197 S3get_variableID(split)))[numobs];
00198 if (x <= cutpoint) {
00199 return(C_get_node(S3get_leftnode(subtree),
00200 newinputs, mincriterion, numobs));
00201 } else {
00202 return(C_get_node(S3get_rightnode(subtree),
00203 newinputs, mincriterion, numobs));
00204 }
00205 } else {
00206 levelset = INTEGER(S3get_splitpoint(split));
00207 level = INTEGER(get_variable(newinputs,
00208 S3get_variableID(split)))[numobs];
00209
00210 if (levelset[level - 1]) {
00211 return(C_get_node(S3get_leftnode(subtree), newinputs,
00212 mincriterion, numobs));
00213 } else {
00214 return(C_get_node(S3get_rightnode(subtree), newinputs,
00215 mincriterion, numobs));
00216 }
00217 }
00218 }
00219
00220
00229 SEXP R_get_node(SEXP subtree, SEXP newinputs, SEXP mincriterion,
00230 SEXP numobs) {
00231 return(C_get_node(subtree, newinputs, REAL(mincriterion)[0],
00232 INTEGER(numobs)[0] - 1));
00233 }
00234
00235
00242 SEXP C_get_nodebynum(SEXP subtree, int nodenum) {
00243
00244 if (nodenum == S3get_nodeID(subtree)) return(subtree);
00245
00246 if (S3get_nodeterminal(subtree))
00247 error("no node with number %d\n", nodenum);
00248
00249 if (nodenum < S3get_nodeID(S3get_rightnode(subtree))) {
00250 return(C_get_nodebynum(S3get_leftnode(subtree), nodenum));
00251 } else {
00252 return(C_get_nodebynum(S3get_rightnode(subtree), nodenum));
00253 }
00254 }
00255
00256
00263 SEXP R_get_nodebynum(SEXP subtree, SEXP nodenum) {
00264 return(C_get_nodebynum(subtree, INTEGER(nodenum)[0]));
00265 }
00266
00267
00276 SEXP C_get_prediction(SEXP subtree, SEXP newinputs,
00277 double mincriterion, int numobs) {
00278 return(S3get_prediction(C_get_node(subtree, newinputs,
00279 mincriterion, numobs)));
00280 }
00281
00282
00291 SEXP C_get_nodeweights(SEXP subtree, SEXP newinputs,
00292 double mincriterion, int numobs) {
00293 return(S3get_nodeweights(C_get_node(subtree, newinputs,
00294 mincriterion, numobs)));
00295 }
00296
00297
00306 int C_get_nodeID(SEXP subtree, SEXP newinputs,
00307 double mincriterion, int numobs) {
00308 return(S3get_nodeID(C_get_node(subtree, newinputs,
00309 mincriterion, numobs)));
00310 }
00311
00312
00320 SEXP R_get_nodeID(SEXP tree, SEXP newinputs, SEXP mincriterion) {
00321
00322 SEXP ans;
00323 int nobs, i, *dans;
00324
00325 nobs = get_nobs(newinputs);
00326 PROTECT(ans = allocVector(INTSXP, nobs));
00327 dans = INTEGER(ans);
00328 for (i = 0; i < nobs; i++)
00329 dans[i] = C_get_nodeID(tree, newinputs, REAL(mincriterion)[0], i);
00330 UNPROTECT(1);
00331 return(ans);
00332 }
00333
00334
00343 void C_predict(SEXP tree, SEXP newinputs, double mincriterion, SEXP ans) {
00344
00345 int nobs, i;
00346
00347 nobs = get_nobs(newinputs);
00348 if (LENGTH(ans) != nobs)
00349 error("ans is not of length %d\n", nobs);
00350
00351 for (i = 0; i < nobs; i++)
00352 SET_VECTOR_ELT(ans, i, C_get_prediction(tree, newinputs,
00353 mincriterion, i));
00354 }
00355
00356
00364 SEXP R_predict(SEXP tree, SEXP newinputs, SEXP mincriterion) {
00365
00366 SEXP ans;
00367 int nobs;
00368
00369 nobs = get_nobs(newinputs);
00370 PROTECT(ans = allocVector(VECSXP, nobs));
00371 C_predict(tree, newinputs, REAL(mincriterion)[0], ans);
00372 UNPROTECT(1);
00373 return(ans);
00374 }
00375
00376
00384 void C_getpredictions(SEXP tree, SEXP where, SEXP ans) {
00385
00386 int nobs, i, *iwhere;
00387
00388 nobs = LENGTH(where);
00389 iwhere = INTEGER(where);
00390 if (LENGTH(ans) != nobs)
00391 error("ans is not of length %d\n", nobs);
00392
00393 for (i = 0; i < nobs; i++)
00394 SET_VECTOR_ELT(ans, i, S3get_prediction(
00395 C_get_nodebynum(tree, iwhere[i])));
00396 }
00397
00398
00405 SEXP R_getpredictions(SEXP tree, SEXP where) {
00406
00407 SEXP ans;
00408 int nobs;
00409
00410 nobs = LENGTH(where);
00411 PROTECT(ans = allocVector(VECSXP, nobs));
00412 C_getpredictions(tree, where, ans);
00413 UNPROTECT(1);
00414 return(ans);
00415 }
00416
00427 SEXP R_predictRF_weights(SEXP forest, SEXP where, SEXP weights,
00428 SEXP newinputs, SEXP mincriterion, SEXP oobpred) {
00429
00430 SEXP ans, tree, bw;
00431 int ntrees, nobs, i, b, j, q, iwhere, oob = 0, count = 0, ntrain;
00432
00433 if (LOGICAL(oobpred)[0]) oob = 1;
00434
00435 nobs = get_nobs(newinputs);
00436 ntrees = LENGTH(forest);
00437 q = LENGTH(S3get_prediction(
00438 C_get_nodebynum(VECTOR_ELT(forest, 0), 1)));
00439
00440 if (oob) {
00441 if (LENGTH(VECTOR_ELT(weights, 0)) != nobs)
00442 error("number of observations don't match");
00443 }
00444
00445 tree = VECTOR_ELT(forest, 0);
00446 ntrain = LENGTH(VECTOR_ELT(weights, 0));
00447
00448 PROTECT(ans = allocVector(VECSXP, nobs));
00449
00450 for (i = 0; i < nobs; i++) {
00451 count = 0;
00452 SET_VECTOR_ELT(ans, i, bw = allocVector(REALSXP, ntrain));
00453 for (j = 0; j < ntrain; j++)
00454 REAL(bw)[j] = 0.0;
00455 for (b = 0; b < ntrees; b++) {
00456 tree = VECTOR_ELT(forest, b);
00457
00458 if (oob &&
00459 REAL(VECTOR_ELT(weights, b))[i] > 0.0)
00460 continue;
00461
00462 iwhere = C_get_nodeID(tree, newinputs, REAL(mincriterion)[0], i);
00463
00464 for (j = 0; j < ntrain; j++) {
00465 if (iwhere == INTEGER(VECTOR_ELT(where, b))[j])
00466 REAL(bw)[j] += REAL(VECTOR_ELT(weights, b))[j];
00467 }
00468 count++;
00469 }
00470 if (count == 0)
00471 error("cannot compute out-of-bag predictions for obs ", i + 1);
00472 }
00473 UNPROTECT(1);
00474 return(ans);
00475 }