clean up warnings from msvc

.gitignore

@@ -16,7 +16,6 @@
 *conf
 *buffer
 *model
-xgboost
 *pyc
 *train
 *test
@@ -24,3 +23,14 @@ xgboost
 *rar
 *vali
 *data
+*sdf
+Release
+*exe*
+*exp
+ipch
+*.filters
+*.user
+*log
+Debug
+*suo
+

src/data.h

@@ -103,7 +103,7 @@ struct SparseBatch {
   const Entry *data_ptr;
   /*! \brief get i-th row from the batch */
   inline Inst operator[](size_t i) const {
-    return Inst(data_ptr + row_ptr[i], row_ptr[i+1] - row_ptr[i]);
+    return Inst(data_ptr + row_ptr[i], static_cast<bst_uint>(row_ptr[i+1] - row_ptr[i]));
   }
 };
 
@@ -341,7 +341,7 @@ class FMatrixS : public FMatrixInterface<FMatrixS>{
       const SparseBatch &batch = iter_->Value();
       for (size_t i = 0; i < batch.size; ++i) {
         if (pkeep == 1.0f || random::SampleBinary(pkeep)) {
-          buffered_rowset_.push_back(batch.base_rowid+i);
+          buffered_rowset_.push_back(static_cast<bst_uint>(batch.base_rowid+i));
           SparseBatch::Inst inst = batch[i];
           for (bst_uint j = 0; j < inst.length; ++j) {
             builder.AddBudget(inst[j].findex);

src/gbm/gblinear-inl.hpp

@@ -60,7 +60,7 @@ class GBLinear : public IGradBooster<FMatrix> {
         }
       }
       // remove bias effect
-      double dw = param.learning_rate * param.CalcDeltaBias(sum_grad, sum_hess, model.bias()[gid]);
+	  bst_float dw = static_cast<bst_float>(param.learning_rate * param.CalcDeltaBias(sum_grad, sum_hess, model.bias()[gid]));
       model.bias()[gid] += dw;
       // update grad value
       #pragma omp parallel for schedule(static)
@@ -86,7 +86,7 @@ class GBLinear : public IGradBooster<FMatrix> {
           sum_hess += p.hess * v * v;
         }
         float &w = model[fid][gid];
-        double dw = param.learning_rate * param.CalcDelta(sum_grad, sum_hess, w);
+        bst_float dw = static_cast<bst_float>(param.learning_rate * param.CalcDelta(sum_grad, sum_hess, w));
         w += dw;
         // update grad value
         for (typename FMatrix::ColIter it = fmat.GetSortedCol(fid); it.Next();) {

src/gbm/gbtree-inl.hpp

@@ -134,7 +134,7 @@ class GBTree : public IGradBooster<FMatrix> {
       for (unsigned i = 0; i < nsize; ++i) {
         const int tid = omp_get_thread_num();
         tree::RegTree::FVec &feats = thread_temp[tid];
-        const size_t ridx = batch.base_rowid + i;
+        int64_t ridx = static_cast<int64_t>(batch.base_rowid + i);
         const unsigned root_idx = info.GetRoot(ridx);
         // loop over output groups
         for (int gid = 0; gid < mparam.num_output_group; ++gid) {
@@ -172,15 +172,15 @@ class GBTree : public IGradBooster<FMatrix> {
     }
     updaters.clear();
     std::string tval = tparam.updater_seq;
-    char *saveptr, *pstr;
+    char *pstr;
-    pstr = strtok_r(&tval[0], ",", &saveptr);
+    pstr = strtok(&tval[0], ",");
     while (pstr != NULL) {
       updaters.push_back(tree::CreateUpdater<FMatrix>(pstr));
       for (size_t j = 0; j < cfg.size(); ++j) {
         // set parameters
         updaters.back()->SetParam(cfg[j].first.c_str(), cfg[j].second.c_str());
       }
-      pstr = strtok_r(NULL, ",", &saveptr);
+      pstr = strtok(NULL, ",");
     }
     tparam.updater_initialized = 1;
   }
@@ -218,7 +218,7 @@ class GBTree : public IGradBooster<FMatrix> {
                     tree::RegTree::FVec *p_feats) {
     size_t itop = 0;
     float  psum = 0.0f;
-    const int bid = mparam.BufferOffset(buffer_index, bst_group);
+    const int64_t bid = mparam.BufferOffset(buffer_index, bst_group);
     // load buffered results if any
     if (bid >= 0) {
       itop = pred_counter[bid];
@@ -320,7 +320,7 @@ class GBTree : public IGradBooster<FMatrix> {
      * \brief get the buffer offset given a buffer index and group id  
      * \return calculated buffer offset
      */
-    inline size_t BufferOffset(int64_t buffer_index, int bst_group) const {
+    inline int64_t BufferOffset(int64_t buffer_index, int bst_group) const {
       if (buffer_index < 0) return -1;
       utils::Check(buffer_index < num_pbuffer, "buffer_index exceed num_pbuffer");
       return buffer_index + num_pbuffer * bst_group;

src/io/simple_dmatrix-inl.hpp

@@ -179,7 +179,7 @@ class DMatrixSimple : public DataMatrix {
    * \param savebuffer whether do save binary buffer if it is text
    */
   inline void CacheLoad(const char *fname, bool silent = false, bool savebuffer = true) {
-    int len = strlen(fname);
+    size_t len = strlen(fname);
     if (len > 8 && !strcmp(fname + len - 7, ".buffer")) {
       if (!this->LoadBinary(fname, silent)) {
         utils::Error("can not open file \"%s\"", fname);

src/learner/dmatrix.h

@@ -78,9 +78,9 @@ struct MetaInfo {
   }
   inline void LoadBinary(utils::IStream &fi) {
     int version;
-    utils::Check(fi.Read(&version, sizeof(version)), "MetaInfo: invalid format");
+    utils::Check(fi.Read(&version, sizeof(version)) != 0, "MetaInfo: invalid format");
-    utils::Check(fi.Read(&info.num_row, sizeof(info.num_row)), "MetaInfo: invalid format");
+    utils::Check(fi.Read(&info.num_row, sizeof(info.num_row)) != 0, "MetaInfo: invalid format");
-    utils::Check(fi.Read(&info.num_col, sizeof(info.num_col)), "MetaInfo: invalid format");
+    utils::Check(fi.Read(&info.num_col, sizeof(info.num_col)) != 0, "MetaInfo: invalid format");
     utils::Check(fi.Read(&labels), "MetaInfo: invalid format");
     utils::Check(fi.Read(&group_ptr), "MetaInfo: invalid format");
     utils::Check(fi.Read(&weights), "MetaInfo: invalid format");

src/learner/evaluation-inl.hpp

@@ -132,7 +132,7 @@ struct EvalAMS : public IEvaluator {
         b_fp += wt;
       }
       if (rec[i].first != rec[i+1].first) {
-        double ams = sqrtf(2*((s_tp+b_fp+br) * log(1.0 + s_tp/(b_fp+br)) - s_tp));
+        double ams = sqrt(2*((s_tp+b_fp+br) * log(1.0 + s_tp/(b_fp+br)) - s_tp));
         if (tams < ams) {
           thresindex = i;
           tams = ams;
@@ -141,9 +141,9 @@ struct EvalAMS : public IEvaluator {
     }
     if (ntop == ndata) {
       fprintf(stderr, "\tams-ratio=%g", static_cast<float>(thresindex) / ndata);
-      return tams;
+      return static_cast<float>(tams);
     } else {
-      return sqrtf(2*((s_tp+b_fp+br) * log(1.0 + s_tp/(b_fp+br)) - s_tp));
+      return static_cast<float>(sqrt(2*((s_tp+b_fp+br) * log(1.0 + s_tp/(b_fp+br)) - s_tp)));
     }
   }
   virtual const char *Name(void) const {
@@ -171,7 +171,7 @@ struct EvalPrecisionRatio : public IEvaluator{
     utils::Assert(preds.size() == info.labels.size(), "label size predict size not match");
     std::vector< std::pair<float, unsigned> > rec;
     for (size_t j = 0; j < preds.size(); ++j) {
-      rec.push_back(std::make_pair(preds[j], j));
+      rec.push_back(std::make_pair(preds[j], static_cast<unsigned>(j)));
     }
     std::sort(rec.begin(), rec.end(), CmpFirst);
     double pratio = CalcPRatio(rec, info);
@@ -207,7 +207,7 @@ struct EvalAuc : public IEvaluator {
   virtual float Eval(const std::vector<float> &preds,
                      const MetaInfo &info) const {
     utils::Check(preds.size() == info.labels.size(), "label size predict size not match");
-    std::vector<unsigned> tgptr(2, 0); tgptr[1] = preds.size();
+    std::vector<unsigned> tgptr(2, 0); tgptr[1] = static_cast<unsigned>(preds.size());
     const std::vector<unsigned> &gptr = info.group_ptr.size() == 0 ? tgptr : info.group_ptr;
     utils::Check(gptr.back() == preds.size(),
                  "EvalAuc: group structure must match number of prediction");
@@ -264,7 +264,7 @@ struct EvalRankList : public IEvaluator {
     utils::Check(preds.size() == info.labels.size(),
                   "label size predict size not match");
     // quick consistency when group is not available
-    std::vector<unsigned> tgptr(2, 0); tgptr[1] = preds.size();
+    std::vector<unsigned> tgptr(2, 0); tgptr[1] = static_cast<unsigned>(preds.size());
     const std::vector<unsigned> &gptr = info.group_ptr.size() == 0 ? tgptr : info.group_ptr;
     utils::Assert(gptr.size() != 0, "must specify group when constructing rank file");
     utils::Assert(gptr.back() == preds.size(),
@@ -339,7 +339,7 @@ struct EvalNDCG : public EvalRankList{
     for (size_t i = 0; i < rec.size() && i < this->topn_; ++i) {
       const unsigned rel = rec[i].second;
       if (rel != 0) { 
-        sumdcg += ((1 << rel) - 1) / logf(i + 2);
+        sumdcg += ((1 << rel) - 1) / log(i + 2.0);
       }
     }
     return static_cast<float>(sumdcg);

src/learner/evaluation.h

@@ -7,6 +7,7 @@
  */
 #include <string>
 #include <vector>
+#include <cstdio>
 #include "../utils/utils.h"
 #include "./dmatrix.h"
 

src/learner/learner-inl.hpp

@@ -330,7 +330,7 @@ class BoostLearner {
     for (size_t i = 0; i < cache_.size(); ++i) {
       if (cache_[i].mat_ == &mat && mat.cache_learner_ptr_ == this) {
         if (cache_[i].num_row_ == mat.info.num_row()) {
-          return cache_[i].buffer_offset_;
+          return static_cast<int64_t>(cache_[i].buffer_offset_);
         }
       }
     }

src/learner/objective-inl.hpp

@@ -221,7 +221,7 @@ class SoftmaxMultiClassObj : public IObjFunction {
           rec[k] = preds[j * nclass + k];
         }
         if (prob == 0) {
-          tmp[j] = FindMaxIndex(rec);
+          tmp[j] = static_cast<float>(FindMaxIndex(rec));
         } else {
           Softmax(&rec);
           for (int k = 0; k < nclass; ++k) {
@@ -259,7 +259,7 @@ class LambdaRankObj : public IObjFunction {
     std::vector<bst_gpair> &gpair = *out_gpair;
     gpair.resize(preds.size());
     // quick consistency when group is not available
-    std::vector<unsigned> tgptr(2, 0); tgptr[1] = info.labels.size();
+    std::vector<unsigned> tgptr(2, 0); tgptr[1] = static_cast<unsigned>(info.labels.size());
     const std::vector<unsigned> &gptr = info.group_ptr.size() == 0 ? tgptr : info.group_ptr;
     utils::Check(gptr.size() != 0 && gptr.back() == info.labels.size(),
                  "group structure not consistent with #rows");
@@ -290,7 +290,7 @@ class LambdaRankObj : public IObjFunction {
           unsigned j = i + 1;
           while (j < rec.size() && rec[j].first == rec[i].first) ++j;
           // bucket in [i,j), get a sample outside bucket
-          unsigned nleft = i, nright = rec.size() - j;
+          unsigned nleft = i, nright = static_cast<unsigned>(rec.size() - j);
           if (nleft + nright != 0) {
             int nsample = num_pairsample;
             while (nsample --) {
@@ -436,9 +436,9 @@ class LambdaRankObjNDCG : public LambdaRankObj {
   inline static float CalcDCG(const std::vector<float> &labels) {
     double sumdcg = 0.0;
     for (size_t i = 0; i < labels.size(); ++i) {
-      const unsigned rel = labels[i];
+      const unsigned rel = static_cast<unsigned>(labels[i]);
       if (rel != 0) {
-        sumdcg += ((1 << rel) - 1) / logf(i + 2);
+        sumdcg += ((1 << rel) - 1) / logf(static_cast<float>(i + 2));
       }
     }
     return static_cast<float>(sumdcg);

src/tree/param.h

@@ -67,7 +67,7 @@ struct TrainParam{
     if (!strcmp(name, "min_child_weight")) min_child_weight = static_cast<float>(atof(val));
     if (!strcmp(name, "min_split_loss")) min_split_loss = static_cast<float>(atof(val));
     if (!strcmp(name, "reg_lambda")) reg_lambda = static_cast<float>(atof(val));
-    if (!strcmp(name, "reg_method")) reg_method = static_cast<float>(atof(val));
+    if (!strcmp(name, "reg_method")) reg_method = atoi(val);
     if (!strcmp(name, "subsample")) subsample = static_cast<float>(atof(val));
     if (!strcmp(name, "colsample_bylevel")) colsample_bylevel = static_cast<float>(atof(val));
     if (!strcmp(name, "colsample_bytree")) colsample_bytree  = static_cast<float>(atof(val));

src/tree/updater_colmaker-inl.hpp

@@ -203,8 +203,8 @@ class ColMaker: public IUpdater<FMatrix> {
         }
         // update node statistics
         snode[nid].stats = stats;
-        snode[nid].root_gain = stats.CalcGain(param);
+        snode[nid].root_gain = static_cast<float>(stats.CalcGain(param));
-        snode[nid].weight = stats.CalcWeight(param);
+        snode[nid].weight = static_cast<float>(stats.CalcWeight(param));
       }
     }
     /*! \brief update queue expand add in new leaves */
@@ -251,7 +251,7 @@ class ColMaker: public IUpdater<FMatrix> {
           if (fabsf(fvalue - e.last_fvalue) > rt_2eps && e.stats.sum_hess >= param.min_child_weight) {
             c.SetSubstract(snode[nid].stats, e.stats);
             if (c.sum_hess >= param.min_child_weight) {
-              double loss_chg = e.stats.CalcGain(param) + c.CalcGain(param) - snode[nid].root_gain;
+              bst_float loss_chg = static_cast<bst_float>(e.stats.CalcGain(param) + c.CalcGain(param) - snode[nid].root_gain);
               e.best.Update(loss_chg, fid, (fvalue + e.last_fvalue) * 0.5f, !is_forward_search);
             }
           }
@@ -266,7 +266,7 @@ class ColMaker: public IUpdater<FMatrix> {
         ThreadEntry &e = temp[nid];
         c.SetSubstract(snode[nid].stats, e.stats);
         if (e.stats.sum_hess >= param.min_child_weight && c.sum_hess >= param.min_child_weight) {
-          const double loss_chg = e.stats.CalcGain(param) + c.CalcGain(param) - snode[nid].root_gain;
+          bst_float loss_chg = static_cast<bst_float>(e.stats.CalcGain(param) + c.CalcGain(param) - snode[nid].root_gain);
           const float delta = is_forward_search ? rt_eps : -rt_eps;
           e.best.Update(loss_chg, fid, e.last_fvalue + delta, !is_forward_search);
         }

src/tree/updater_refresh-inl.hpp

@@ -61,7 +61,7 @@ class TreeRefresher: public IUpdater<FMatrix> {
       for (unsigned i = 0; i < nbatch; ++i) {
         SparseBatch::Inst inst = batch[i];
         const int tid = omp_get_thread_num();
-        const size_t ridx = batch.base_rowid + i;
+        const bst_uint ridx = static_cast<bst_uint>(batch.base_rowid + i);
         RegTree::FVec &feats = fvec_temp[tid];
         feats.Fill(inst);
         for (size_t j = 0; j < trees.size(); ++j) {
@@ -112,16 +112,16 @@ class TreeRefresher: public IUpdater<FMatrix> {
   inline void Refresh(const std::vector<TStats> &gstats,
                       int nid, RegTree *p_tree) {
     RegTree &tree = *p_tree;
-    tree.stat(nid).base_weight = gstats[nid].CalcWeight(param);
+    tree.stat(nid).base_weight = static_cast<float>(gstats[nid].CalcWeight(param));
     tree.stat(nid).sum_hess = static_cast<float>(gstats[nid].sum_hess);
     gstats[nid].SetLeafVec(param, tree.leafvec(nid));
     if (tree[nid].is_leaf()) {
       tree[nid].set_leaf(tree.stat(nid).base_weight * param.learning_rate);
     } else {
-      tree.stat(nid).loss_chg =
+      tree.stat(nid).loss_chg = static_cast<float>(
           gstats[tree[nid].cleft()].CalcGain(param) +
           gstats[tree[nid].cright()].CalcGain(param) -
-          gstats[nid].CalcGain(param);
+          gstats[nid].CalcGain(param));
       this->Refresh(gstats, tree[nid].cleft(), p_tree);
       this->Refresh(gstats, tree[nid].cright(), p_tree);
     }

src/utils/io.h

@@ -40,7 +40,7 @@ class IStream {
    */
   template<typename T>
   inline void Write(const std::vector<T> &vec) {
-    uint64_t sz = vec.size();
+    uint64_t sz = static_cast<uint64_t>(vec.size());
     this->Write(&sz, sizeof(sz));
     if (sz != 0) {
       this->Write(&vec[0], sizeof(T) * sz);
@@ -66,7 +66,7 @@ class IStream {
    * \param str the string to be serialized
    */ 
   inline void Write(const std::string &str) {
-    uint64_t sz = str.length();
+    uint64_t sz = static_cast<uint64_t>(str.length());
     this->Write(&sz, sizeof(sz));
     if (sz != 0) {
       this->Write(&str[0], sizeof(char) * sz);

src/utils/omp.h

@@ -9,7 +9,11 @@
 #include <omp.h>
 #else
 #ifndef DISABLE_OPENMP
+#ifndef _MSC_VER
 #warning "OpenMP is not available, compile to single thread code"
+#else
+// TODO add warning for msvc
+#endif
 #endif
 inline int omp_get_thread_num() { return 0; }
 inline int omp_get_num_threads() { return 1; }

src/utils/random.h

@@ -88,11 +88,18 @@ inline void Shuffle(std::vector<T> &data) {
 struct Random{
   /*! \brief set random number seed */
   inline void Seed(unsigned sd) {
-    this->rseed = sd;
+	 this->rseed = sd;
+#ifdef _MSC_VER
+    srand(rseed);
+#endif
   }
   /*! \brief return a real number uniform in [0,1) */
   inline double RandDouble(void) {
-    return static_cast<double>( rand_r( &rseed ) ) / (static_cast<double>( RAND_MAX )+1.0);
+#ifndef _MSC_VER
+    return static_cast<double>(rand_r(&rseed)) / (static_cast<double>(RAND_MAX) + 1.0);
+#else
+     return static_cast<double>(rand()) / (static_cast<double>(RAND_MAX) + 1.0);
+#endif
   }
   // random number seed
   unsigned rseed;

src/utils/utils.h

@@ -6,8 +6,19 @@
  * \author Tianqi Chen
  */
 #define _CRT_SECURE_NO_WARNINGS
+#include <cstdio>
+#include <cstdarg>
+#include <cstdlib>
 #ifdef _MSC_VER
 #define fopen64 fopen
+// temporal solution for MSVC
+inline int snprintf(char *ptr, size_t sz, const char *fmt, ...) {
+  va_list args;
+  va_start(args, fmt);
+  int ret = vsprintf(ptr, fmt, args);
+  va_end(args);
+  return ret;
+}
 #else
 #ifdef _FILE_OFFSET_BITS
 #if _FILE_OFFSET_BITS == 32
@@ -36,11 +47,6 @@ typedef long int64_t;
 #include <inttypes.h>
 #endif
 
-
-#include <cstdio>
-#include <cstdarg>
-#include <cstdlib>
-
 namespace xgboost {
 /*! \brief namespace for helper utils of the project */
 namespace utils {

windows/README.md

@@ -0,0 +1 @@
+This is a test for minimal files needed for windows version

windows/console/console.vcxproj

@@ -0,0 +1,116 @@
+<?xml version="1.0" encoding="utf-8"?>
+<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
+  <ItemGroup Label="ProjectConfigurations">
+    <ProjectConfiguration Include="Debug|Win32">
+      <Configuration>Debug</Configuration>
+      <Platform>Win32</Platform>
+    </ProjectConfiguration>
+    <ProjectConfiguration Include="Debug|x64">
+      <Configuration>Debug</Configuration>
+      <Platform>x64</Platform>
+    </ProjectConfiguration>
+    <ProjectConfiguration Include="Release|Win32">
+      <Configuration>Release</Configuration>
+      <Platform>Win32</Platform>
+    </ProjectConfiguration>
+    <ProjectConfiguration Include="Release|x64">
+      <Configuration>Release</Configuration>
+      <Platform>x64</Platform>
+    </ProjectConfiguration>
+  </ItemGroup>
+  <PropertyGroup Label="Globals">
+    <ProjectGuid>{97502525-67A1-40ED-B6EC-7566B4132F27}</ProjectGuid>
+    <RootNamespace>console</RootNamespace>
+  </PropertyGroup>
+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'" Label="Configuration">
+    <ConfigurationType>Application</ConfigurationType>
+    <UseDebugLibraries>true</UseDebugLibraries>
+    <CharacterSet>MultiByte</CharacterSet>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'" Label="Configuration">
+    <ConfigurationType>Application</ConfigurationType>
+    <UseDebugLibraries>true</UseDebugLibraries>
+    <CharacterSet>MultiByte</CharacterSet>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'" Label="Configuration">
+    <ConfigurationType>Application</ConfigurationType>
+    <UseDebugLibraries>false</UseDebugLibraries>
+    <WholeProgramOptimization>true</WholeProgramOptimization>
+    <CharacterSet>MultiByte</CharacterSet>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'" Label="Configuration">
+    <ConfigurationType>Application</ConfigurationType>
+    <UseDebugLibraries>false</UseDebugLibraries>
+    <WholeProgramOptimization>true</WholeProgramOptimization>
+    <CharacterSet>MultiByte</CharacterSet>
+  </PropertyGroup>
+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
+  <ImportGroup Label="ExtensionSettings">
+  </ImportGroup>
+  <ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
+    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
+  </ImportGroup>
+  <ImportGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'" Label="PropertySheets">
+    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
+  </ImportGroup>
+  <ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
+    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
+  </ImportGroup>
+  <ImportGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'" Label="PropertySheets">
+    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
+  </ImportGroup>
+  <PropertyGroup Label="UserMacros" />
+  <PropertyGroup />
+  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
+    <ClCompile>
+      <WarningLevel>Level3</WarningLevel>
+      <Optimization>Disabled</Optimization>
+    </ClCompile>
+    <Link>
+      <GenerateDebugInformation>true</GenerateDebugInformation>
+    </Link>
+  </ItemDefinitionGroup>
+  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">
+    <ClCompile>
+      <WarningLevel>Level3</WarningLevel>
+      <Optimization>Disabled</Optimization>
+    </ClCompile>
+    <Link>
+      <GenerateDebugInformation>true</GenerateDebugInformation>
+    </Link>
+  </ItemDefinitionGroup>
+  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
+    <ClCompile>
+      <WarningLevel>Level3</WarningLevel>
+      <Optimization>MaxSpeed</Optimization>
+      <FunctionLevelLinking>true</FunctionLevelLinking>
+      <IntrinsicFunctions>true</IntrinsicFunctions>
+    </ClCompile>
+    <Link>
+      <GenerateDebugInformation>true</GenerateDebugInformation>
+      <EnableCOMDATFolding>true</EnableCOMDATFolding>
+      <OptimizeReferences>true</OptimizeReferences>
+    </Link>
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+  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'">
+    <ClCompile>
+      <WarningLevel>Level3</WarningLevel>
+      <Optimization>MaxSpeed</Optimization>
+      <FunctionLevelLinking>true</FunctionLevelLinking>
+      <IntrinsicFunctions>true</IntrinsicFunctions>
+    </ClCompile>
+    <Link>
+      <GenerateDebugInformation>true</GenerateDebugInformation>
+      <EnableCOMDATFolding>true</EnableCOMDATFolding>
+      <OptimizeReferences>true</OptimizeReferences>
+    </Link>
+  </ItemDefinitionGroup>
+  <ItemGroup>
+    <ClCompile Include="..\..\src\io\io.cpp" />
+    <ClCompile Include="..\..\src\xgboost_main.cpp" />
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+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
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windows/xgboost.sln

@@ -0,0 +1,26 @@
+
+Microsoft Visual Studio Solution File, Format Version 11.00
+# Visual Studio 2010
+Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "console", "console\console.vcxproj", "{97502525-67A1-40ED-B6EC-7566B4132F27}"
+EndProject
+Global
+	GlobalSection(SolutionConfigurationPlatforms) = preSolution
+		Debug|Win32 = Debug|Win32
+		Debug|x64 = Debug|x64
+		Release|Win32 = Release|Win32
+		Release|x64 = Release|x64
+	EndGlobalSection
+	GlobalSection(ProjectConfigurationPlatforms) = postSolution
+		{97502525-67A1-40ED-B6EC-7566B4132F27}.Debug|Win32.ActiveCfg = Debug|Win32
+		{97502525-67A1-40ED-B6EC-7566B4132F27}.Debug|Win32.Build.0 = Debug|Win32
+		{97502525-67A1-40ED-B6EC-7566B4132F27}.Debug|x64.ActiveCfg = Debug|x64
+		{97502525-67A1-40ED-B6EC-7566B4132F27}.Debug|x64.Build.0 = Debug|x64
+		{97502525-67A1-40ED-B6EC-7566B4132F27}.Release|Win32.ActiveCfg = Release|Win32
+		{97502525-67A1-40ED-B6EC-7566B4132F27}.Release|Win32.Build.0 = Release|Win32
+		{97502525-67A1-40ED-B6EC-7566B4132F27}.Release|x64.ActiveCfg = Release|x64
+		{97502525-67A1-40ED-B6EC-7566B4132F27}.Release|x64.Build.0 = Release|x64
+	EndGlobalSection
+	GlobalSection(SolutionProperties) = preSolution
+		HideSolutionNode = FALSE
+	EndGlobalSection
+EndGlobal