fix some bugs

booster/xgboost.cpp

@@ -1,8 +1,8 @@
 /*!
- * \file xgboost.cpp
- * \brief bootser implementations 
- * \author Tianqi Chen: tianqi.tchen@gmail.com
- */
+* \file xgboost.cpp
+* \brief bootser implementations 
+* \author Tianqi Chen: tianqi.tchen@gmail.com
+*/
 // implementation of boosters go to here 
 #define _CRT_SECURE_NO_WARNINGS
 #define _CRT_SECURE_NO_DEPRECATE
@@ -15,20 +15,27 @@
 #include "linear/xgboost_linear.hpp"
 
 namespace xgboost{
-    namespace booster{
-        /*! 
-         * \brief create a gradient booster, given type of booster
-         * \param booster_type type of gradient booster, can be used to specify implements
-         * \return the pointer to the gradient booster created
-         */
-        IBooster *CreateBooster( int booster_type ){
-            switch( booster_type ){
-            case 0: return new RTreeTrainer();
-            case 1: return new LinearBooster();
-            default: utils::Error("unknown booster_type"); return NULL;
-            }
-        }
-    };
+	namespace booster{
+		/*£¡
+		* \brief listing the types of boosters
+		*/
+		enum BOOSTER_TYPE_LIST{
+			TREE,
+			LINEAR,
+		};
+		/*! 
+		* \brief create a gradient booster, given type of booster
+		* \param booster_type type of gradient booster, can be used to specify implements
+		* \return the pointer to the gradient booster created
+		*/
+		IBooster *CreateBooster( int booster_type ){
+			switch( booster_type ){
+			case TREE: return new RTreeTrainer();
+			case LINEAR: return new LinearBooster();
+			default: utils::Error("unknown booster_type"); return NULL;
+			}
+		}
+	};
 };
 
 

regression/xgboost_reg.h

@@ -52,7 +52,8 @@ namespace xgboost{
 						buffer_size += (*evals[i]).size();
 					}
 					char str[25];
-					itoa(buffer_size,str,10);
+					_itoa(buffer_size,str,10);
+					base_model.SetParam("num_pbuffer",str);
 					base_model.SetParam("num_pbuffer",str);
 			}
 
@@ -71,6 +72,7 @@ namespace xgboost{
 			*/
 			inline void InitTrainer( void ){
 				base_model.InitTrainer();
+				InitModel();
 				mparam.AdjustBase();
 			} 
 

regression/xgboost_reg_main.cpp

@@ -5,7 +5,7 @@ using namespace xgboost::regression;
 int main(int argc, char *argv[]){
 //	char* config_path = argv[1];
 //	bool silent = ( atoi(argv[2]) == 1 );
-	char* config_path = "c:\\cygwin64\\home\\chen\\github\\gboost\\demo\\regression\\reg.conf";
+	char* config_path = "c:\\cygwin64\\home\\chen\\github\\xgboost\\demo\\regression\\reg.conf";
 	bool silent = false;
 	RegBoostTrain train;
 	RegBoostTest test;

regression/xgboost_reg_train.h

@@ -32,6 +32,7 @@ namespace xgboost{
 				ConfigIterator config_itr(config_path);
 				//Get the training data and validation data paths, config the Learner
 				while (config_itr.Next()){
+ 					printf("%s %s\n",config_itr.name(),config_itr.val());
 					reg_boost_learner->SetParam(config_itr.name(),config_itr.val());
 					train_param.SetParam(config_itr.name(),config_itr.val());
 				}
@@ -41,6 +42,7 @@ namespace xgboost{
 
 				//Load Data
 				xgboost::regression::DMatrix train;
+				printf("%s",train_param.train_path);
 				train.LoadText(train_param.train_path);
 				std::vector<const xgboost::regression::DMatrix*> evals;
 				for(int i = 0; i < train_param.validation_data_paths.size(); i++){
@@ -70,7 +72,7 @@ namespace xgboost{
 			void SaveModel(const char* suffix){
 				char model_path[256];
 				//save the final round model
-				sscanf(model_path,"%s/%s",train_param.model_dir_path,suffix);
+				sprintf(model_path,"%s/%s",train_param.model_dir_path,suffix);
 				FILE* file = fopen(model_path,"w");
 				FileStream fin(file);
 				reg_boost_learner->SaveModel(fin);
@@ -85,10 +87,10 @@ namespace xgboost{
 				int save_period;
 
 				/* \brief the path of training data set */
-				const char* train_path;
+				char train_path[256];
 
 				/* \brief the path of directory containing the saved models */
-				const char* model_dir_path;
+				char model_dir_path[256];
 
 				/* \brief the paths of validation data sets */
 				std::vector<std::string> validation_data_paths;
@@ -102,10 +104,12 @@ namespace xgboost{
 				* \param val  value of the parameter
 				*/
 				inline void SetParam(const char *name,const char *val ){
-					if( !strcmp("boost_iterations", name ) )  boost_iterations = (float)atof( val );
+					if( !strcmp("boost_iterations", name ) )  boost_iterations = atoi( val );
 					if( !strcmp("save_period", name ) )   save_period = atoi( val );
-					if( !strcmp("train_path",  name ) ) train_path = val;
-					if( !strcmp("model_dir_path", name ) ) model_dir_path = val;
+					if( !strcmp("train_path",  name ) ) strcpy(train_path,val);
+					if( !strcmp("model_dir_path", name ) ) {
+						strcpy(model_dir_path,val);
+					}
 					if( !strcmp("validation_paths",  name) ) {
 						validation_data_paths = StringProcessing::split(val,';');
 					}

regression/xgboost_regdata.h

@@ -64,10 +64,9 @@ namespace xgboost{
                         init = false;
                     }
                 }
-                if( init ){
-                    labels.push_back( label );
-                    data.AddRow( findex, fvalue );
-                }
+                
+				labels.push_back( label );
+                data.AddRow( findex, fvalue );
                 
                 this->UpdateInfo();
                 if( !silent ){

utils/xgboost_utils.h

@@ -5,6 +5,7 @@
  * \brief simple utils to support the code
  * \author Tianqi Chen: tianqi.tchen@gmail.com
  */
+
 #define _CRT_SECURE_NO_WARNINGS
 #ifdef _MSC_VER
 #define fopen64 fopen