Merge branch 'master' into unity
Conflicts: src/learner/evaluation-inl.hpp wrapper/xgboost_R.cpp wrapper/xgboost_wrapper.cpp wrapper/xgboost_wrapper.h
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@@ -186,9 +186,9 @@ class ColMaker: public IUpdater<FMatrix> {
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}
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const std::vector<bst_uint> &rowset = fmat.buffered_rowset();
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// setup position
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const unsigned ndata = static_cast<unsigned>(rowset.size());
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const bst_omp_uint ndata = static_cast<bst_omp_uint>(rowset.size());
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#pragma omp parallel for schedule(static)
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for (unsigned i = 0; i < ndata; ++i) {
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for (bst_omp_uint i = 0; i < ndata; ++i) {
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const bst_uint ridx = rowset[i];
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const int tid = omp_get_thread_num();
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if (position[ridx] < 0) continue;
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@@ -286,12 +286,12 @@ class ColMaker: public IUpdater<FMatrix> {
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feat_set.resize(n);
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}
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// start enumeration
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const unsigned nsize = static_cast<unsigned>(feat_set.size());
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const bst_omp_uint nsize = static_cast<bst_omp_uint>(feat_set.size());
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#if defined(_OPENMP)
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const int batch_size = std::max(static_cast<int>(nsize / this->nthread / 32), 1);
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#endif
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#pragma omp parallel for schedule(dynamic, batch_size)
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for (unsigned i = 0; i < nsize; ++i) {
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for (bst_omp_uint i = 0; i < nsize; ++i) {
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const unsigned fid = feat_set[i];
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const int tid = omp_get_thread_num();
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if (param.need_forward_search(fmat.GetColDensity(fid))) {
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@@ -321,9 +321,9 @@ class ColMaker: public IUpdater<FMatrix> {
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inline void ResetPosition(const std::vector<int> &qexpand, const FMatrix &fmat, const RegTree &tree) {
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const std::vector<bst_uint> &rowset = fmat.buffered_rowset();
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// step 1, set default direct nodes to default, and leaf nodes to -1
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const unsigned ndata = static_cast<unsigned>(rowset.size());
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const bst_omp_uint ndata = static_cast<bst_omp_uint>(rowset.size());
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#pragma omp parallel for schedule(static)
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for (unsigned i = 0; i < ndata; ++i) {
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for (bst_omp_uint i = 0; i < ndata; ++i) {
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const bst_uint ridx = rowset[i];
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const int nid = position[ridx];
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if (nid >= 0) {
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@@ -344,9 +344,9 @@ class ColMaker: public IUpdater<FMatrix> {
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std::sort(fsplits.begin(), fsplits.end());
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fsplits.resize(std::unique(fsplits.begin(), fsplits.end()) - fsplits.begin());
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// start put things into right place
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const unsigned nfeats = static_cast<unsigned>(fsplits.size());
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const bst_omp_uint nfeats = static_cast<bst_omp_uint>(fsplits.size());
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#pragma omp parallel for schedule(dynamic, 1)
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for (unsigned i = 0; i < nfeats; ++i) {
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for (bst_omp_uint i = 0; i < nfeats; ++i) {
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const unsigned fid = fsplits[i];
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for (typename FMatrix::ColIter it = fmat.GetSortedCol(fid); it.Next();) {
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const bst_uint ridx = it.rindex();
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@@ -56,9 +56,9 @@ class TreeRefresher: public IUpdater<FMatrix> {
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const SparseBatch &batch = iter->Value();
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utils::Check(batch.size < std::numeric_limits<unsigned>::max(),
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"too large batch size ");
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const unsigned nbatch = static_cast<unsigned>(batch.size);
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const bst_omp_uint nbatch = static_cast<bst_omp_uint>(batch.size);
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#pragma omp parallel for schedule(static)
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for (unsigned i = 0; i < nbatch; ++i) {
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for (bst_omp_uint i = 0; i < nbatch; ++i) {
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SparseBatch::Inst inst = batch[i];
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const int tid = omp_get_thread_num();
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const bst_uint ridx = static_cast<bst_uint>(batch.base_rowid + i);
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