diff --git a/CMakeLists.txt b/CMakeLists.txt
new file mode 100644
index 0000000..1a25f40
--- /dev/null
+++ b/CMakeLists.txt
@@ -0,0 +1,79 @@
+cmake_minimum_required(VERSION 3.2)
+project(terminator CXX)
+
+find_package(PkgConfig)
+pkg_search_module(KYOTOCABINET REQUIRED kyotocabinet)
+
+if (NOT CMAKE_BUILD_TYPE)
+    message(STATUS "Setting build type to 'Debug' as none was specified.")
+    set(CMAKE_BUILD_TYPE Debug CACHE STRING "Choose the type of build." FORCE)
+endif()
+string(TOUPPER "${CMAKE_BUILD_TYPE}" CMAKE_BUILD_TYPE_UPPER)
+
+set ( CMAKE_CXX_FLAGS -std=c++17 )
+set ( CMAKE_CXX_FLAGS "-Wl,--as-needed -Wl,--allow-shlib-undefined")
+set ( CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fPIC")
+
+set ( TERMINATOR_INCLUDE ${CMAKE_CURRENT_SOURCE_DIR}/include)
+set ( TERMINATOR_SRC ${CMAKE_CURRENT_SOURCE_DIR}/src)
+set ( TERMINATOR_BUILD_DIR "${CMAKE_BINARY_DIR}/build" CACHE STRING "Set build dir")
+
+set ( TERMINATOR_BUILD_LIB_DIR ${TERMINATOR_BUILD_DIR}/lib)
+set ( TERMINATOR_BUILD_INCLUDE_DIR ${TERMINATOR_BUILD_DIR}/include)
+set ( LIBRARY_OUTPUT_PATH ${TERMINATOR_BUILD_LIB_DIR} CACHE PATH "Build directory" FORCE)
+
+include_directories(${TERMINATOR_INCLUDE})
+
+set(SOURCE_LIBTERMINATOR
+	${TERMINATOR_SRC}/terminator.cc
+	${TERMINATOR_SRC}/terminator_classifier_base.cc
+	${TERMINATOR_SRC}/terminator_classifier_bwinnow.cc
+	${TERMINATOR_SRC}/terminator_classifier_hit.cc
+	${TERMINATOR_SRC}/terminator_classifier_lr.cc
+	${TERMINATOR_SRC}/terminator_classifier_nb.cc
+	${TERMINATOR_SRC}/terminator_classifier_nsnb.cc
+	${TERMINATOR_SRC}/terminator_classifier_owv.cc
+	${TERMINATOR_SRC}/terminator_classifier_pa.cc
+	${TERMINATOR_SRC}/terminator_classifier_pam.cc
+	${TERMINATOR_SRC}/terminator_classifier_winnow.cc
+)
+
+
+
+add_library(
+    ${PROJECT_NAME}_obj
+    OBJECT
+    ${SOURCE_LIBTERMINATOR}
+)
+
+add_library(
+    ${PROJECT_NAME}_static
+    STATIC
+    $<TARGET_OBJECTS:${PROJECT_NAME}_obj>
+)
+
+add_library(
+    ${PROJECT_NAME}
+    SHARED
+    $<TARGET_OBJECTS:${PROJECT_NAME}_obj>
+)
+
+target_link_libraries(${PROJECT_NAME} ${KYOTOCABINET_LIBRARIES})
+target_link_libraries(${PROJECT_NAME}_static PUBLIC ${KYOTOCABINET_LIBRARIES})
+
+install(TARGETS ${PROJECT_NAME} ${PROJECT_NAME}_static DESTINATION lib)
+install(FILES 	${TERMINATOR_INCLUDE}/terminator_classifier_base.h
+				${TERMINATOR_INCLUDE}/terminator_classifier_bwinnow.h
+				${TERMINATOR_INCLUDE}/terminator_classifier_hit.h
+				${TERMINATOR_INCLUDE}/terminator_classifier_lr.h
+				${TERMINATOR_INCLUDE}/terminator_classifier_nb.h
+				${TERMINATOR_INCLUDE}/terminator_classifier_nsnb.h
+				${TERMINATOR_INCLUDE}/terminator_classifier_owv.h
+				${TERMINATOR_INCLUDE}/terminator_classifier_pa.h
+				${TERMINATOR_INCLUDE}/terminator_classifier_pam.h
+				${TERMINATOR_INCLUDE}/terminator_classifier_winnow.h
+				${TERMINATOR_INCLUDE}/terminator_common.h
+				${TERMINATOR_INCLUDE}/terminator.h
+
+				DESTINATION include)
+
diff --git a/include/terminator.h b/include/terminator.h
new file mode 100644
index 0000000..22b9aef
--- /dev/null
+++ b/include/terminator.h
@@ -0,0 +1,50 @@
+//
+//  terminator.h
+//  terminator
+//
+//  @author freiz
+//  @email freizsu@gmail.com
+
+
+#ifndef terminator_terminator_h
+#define terminator_terminator_h
+
+#include <map>
+#include <string>
+#include <cmath>
+#include <kchashdb.h>
+#include <cstdio>
+#include <cstdlib>
+
+#include "terminator_classifier_owv.h"
+
+#define MAX_READ_LEN (3000)
+#define NGRAM (4)
+
+class Terminator {
+ private:
+  static const node DEFALULT_NODE_VALUE;
+  static const std::string IDENTIFIER_CLASSIFIER_WEIGHTS;
+  static const std::string IDENTIFIER_TOTAL_SPAM;
+  static const std::string IDENTIFIER_TOTAL_HAM;
+
+  std::string db_path_;
+  size_t mem_cache_;
+  kyotocabinet::HashDB db_;
+  TerminatorClassifierBase* classifier_;
+  ptr_node cache_node_;
+  double classifier_weights_[CLASSIFIER_NUMBER];
+
+  bool InitDB(std::string db_path, size_t mem_cache);
+  void PrepareMetaData();
+  void SaveWeights(std::map<std::string, node>& weights);
+  void Vectorization(std::string email_content, std::map<std::string, node>& weights);
+ public:
+  Terminator(std::string db_path, size_t mem_cache);
+  ~Terminator();
+  double Predict(std::string email_content);
+  void Train(std::string email_content, bool is_spam);
+};
+
+
+#endif
diff --git a/include/terminator_classifier_base.h b/include/terminator_classifier_base.h
new file mode 100644
index 0000000..4fb592c
--- /dev/null
+++ b/include/terminator_classifier_base.h
@@ -0,0 +1,20 @@
+//
+//  terminator_classifier_base.h
+//  terminator
+//
+
+#ifndef terminator_terminator_classifier_base_h
+#define terminator_terminator_classifier_base_h
+
+#include "terminator_common.h"
+
+class TerminatorClassifierBase {
+ public:
+  static unsigned long long TotalSpam;
+  static unsigned long long TotalHam;
+  static const double CLASSIFIER_THRESHOLD;
+  virtual void Train(std::map<std::string, node>& weights, bool is_spam) = 0;
+  virtual double Predict(std::map<std::string, node>& weights) = 0;
+  virtual ~TerminatorClassifierBase() = default;
+};
+#endif
diff --git a/include/terminator_classifier_bwinnow.h b/include/terminator_classifier_bwinnow.h
new file mode 100644
index 0000000..2579d64
--- /dev/null
+++ b/include/terminator_classifier_bwinnow.h
@@ -0,0 +1,34 @@
+//
+//  terminator_classifier_bwinnow.h
+//  terminator
+//
+
+#ifndef terminator_terminator_classifier_bwinnow_h
+#define terminator_terminator_classifier_bwinnow_h
+
+#include "terminator_classifier_base.h"
+
+class TerminatorClassifierBWinnow: public TerminatorClassifierBase {
+ private:
+  static const double DEFAULT_BWINNOW_ALPHA;
+  static const double DEFAULT_BWINNOW_BETA;
+  static const double DEFAULT_BWINNOW_SHIFT;
+  static const double DEFAULT_BWINNOW_THRESHOLD;
+  static const double DEFAULT_BWINNOW_THICKNESS;
+  static const double DEFAULT_BWINNOW_MAX_ITERATIONS;
+
+  double bwinnow_alpha_;
+  double bwinnow_beta_;
+  double bwinnow_shift_;
+  double bwinnow_threshold_;
+  double bwinnow_thickness_;
+  double bwinnow_max_iterations_;
+
+ public:
+  TerminatorClassifierBWinnow();
+  virtual double Predict(std::map<std::string, node>& weights);
+  virtual void Train(std::map<std::string, node>& weights, bool is_spam);
+};
+
+
+#endif
diff --git a/include/terminator_classifier_hit.h b/include/terminator_classifier_hit.h
new file mode 100644
index 0000000..fee621f
--- /dev/null
+++ b/include/terminator_classifier_hit.h
@@ -0,0 +1,36 @@
+//
+//  terminator_classifier_hit.h
+//  terminator
+//
+
+#ifndef terminator_terminator_classifier_hit_h
+#define terminator_terminator_classifier_hit_h
+
+#include "terminator_classifier_base.h"
+
+class TerminatorClassifierHIT: public TerminatorClassifierBase {
+
+ private:
+
+  static const double DEFAULT_HIT_RATE;
+  static const double DEFAULT_HIT_SHIFT;
+  static const double DEFAULT_HIT_THICKNESS;
+  static const double DEFAULT_HIT_SMOOTH;
+  static const int DEFAULT_HIT_MAX_ITERATIONS;
+
+  double hit_rate_;
+  double hit_shift_;
+  double hit_thickness_;
+  double hit_smooth_;
+  int hit_max_iterations_;
+
+ public:
+
+  TerminatorClassifierHIT();
+  virtual void Train(std::map<std::string, node>& weights, bool is_spam);
+  virtual double Predict(std::map<std::string, node>& weights);
+
+};
+
+
+#endif
diff --git a/include/terminator_classifier_lr.h b/include/terminator_classifier_lr.h
new file mode 100644
index 0000000..e9ef7c9
--- /dev/null
+++ b/include/terminator_classifier_lr.h
@@ -0,0 +1,31 @@
+//
+//  terminator_classifier_lr.h
+//  terminator
+//
+
+#ifndef terminator_terminator_classifier_lr_h
+#define terminator_terminator_classifier_lr_h
+
+#include "terminator_classifier_base.h"
+
+class TerminatorClassifierLR: public TerminatorClassifierBase {
+ private:
+  static const double DEFAULT_LOGISTIC_LEARNING_RATE;
+  static const double DEFAULT_LOGISTIC_SHIFT;
+  static const double DEFAULT_LOGISTIC_THICKNESS;
+  static const double DEFAULT_LOGISTIC_MAX_ITERATIONS;
+
+  double logistic_learning_rate_;
+  double logistic_shift_;
+  double logistic_thickness_;
+  double logistic_max_iterations_;
+
+ public:
+  TerminatorClassifierLR();
+  virtual void Train(std::map<std::string, node>& weights, bool is_spam);
+  virtual double Predict(std::map<std::string, node>& weights);
+
+};
+
+
+#endif
diff --git a/include/terminator_classifier_nb.h b/include/terminator_classifier_nb.h
new file mode 100644
index 0000000..33daf16
--- /dev/null
+++ b/include/terminator_classifier_nb.h
@@ -0,0 +1,35 @@
+//
+//  terminator_classifier_nb.h
+//  terminator
+//
+
+#ifndef terminator_terminator_classifier_nb_h
+#define terminator_terminator_classifier_nb_h
+
+#include "terminator_classifier_base.h"
+
+class TerminatorClassifierNB: public TerminatorClassifierBase {
+ private:
+  static const double DEFAULT_NB_SHIFT;
+  static const double DEFAULT_NB_SMOOTH;
+  static const double DEFAULT_NB_THICKNESS;
+  static const int DEFAULT_NB_INCREASING;
+  static const int DEFAULT_NB_MAX_ITERATIONS;
+
+  double nb_shift_;
+  double nb_smooth_;
+  double nb_thickness_;
+  int nb_increasing_;
+  int nb_max_iterations_;
+
+  void TrainCell(std::map<std::string, node>& weights, bool is_spam);
+
+ public:
+  TerminatorClassifierNB();
+  virtual double Predict(std::map<std::string, node>& weights);
+  virtual void Train(std::map<std::string, node>& weights, bool is_spam);
+
+};
+
+
+#endif
diff --git a/include/terminator_classifier_nsnb.h b/include/terminator_classifier_nsnb.h
new file mode 100644
index 0000000..35e084d
--- /dev/null
+++ b/include/terminator_classifier_nsnb.h
@@ -0,0 +1,34 @@
+//
+//  terminator_classifier_nsnb.h
+//  terminator
+//
+
+#ifndef terminator_terminator_classifier_nsnb_h
+#define terminator_terminator_classifier_nsnb_h
+
+#include "terminator_classifier_base.h"
+
+class TermiantorClassifierNSNB: public TerminatorClassifierBase {
+ private:
+  static const double DEFAULT_NSNB_SHIFT;
+  static const double DEFAULT_NSNB_SMOOTH;
+  static const double DEFAULT_NSNB_THICKNESS;
+  static const double DEFAULT_NSNB_LEARNING_RATE;
+  static const double DEFAULT_NSNB_MAX_ITERATIONS;
+
+  double nsnb_shift_;
+  double nsnb_smooth_;
+  double nsnb_thickness_;
+  double nsnb_learning_rate_;
+  double nsnb_max_iterations_;
+
+  void TrainCell(std::map<std::string, node>& weights, bool is_spam);
+
+ public:
+  TermiantorClassifierNSNB();
+  virtual double Predict(std::map<std::string, node>& weights);
+  virtual void Train(std::map<std::string, node>& weights, bool is_spam);
+};
+
+
+#endif
diff --git a/include/terminator_classifier_owv.h b/include/terminator_classifier_owv.h
new file mode 100644
index 0000000..c379007
--- /dev/null
+++ b/include/terminator_classifier_owv.h
@@ -0,0 +1,42 @@
+//
+//  terminator_classifier_owv.h
+//  terminator
+//
+
+#ifndef terminator_terminator_classifier_owv_h
+#define terminator_terminator_classifier_owv_h
+
+#include "terminator_classifier_base.h"
+#include "terminator_classifier_bwinnow.h"
+#include "terminator_classifier_lr.h"
+#include "terminator_classifier_nb.h"
+#include "terminator_classifier_nsnb.h"
+#include "terminator_classifier_winnow.h"
+#include "terminator_classifier_pa.h"
+#include "terminator_classifier_pam.h"
+#include "terminator_classifier_hit.h"
+
+#define CLASSIFIER_NUMBER (8)
+
+class TerminatorClassifierOWV: public TerminatorClassifierBase {
+
+ private:
+
+  static const double DEFAULT_OWV_STEP;
+  static const unsigned DEFAULT_CLASSIFIER_NUMBER;
+  static const double DEFAULT_OWV_SPAM_TRADEOFF;
+
+  double owv_step_;
+  double owv_spam_tradeoff;
+
+  TerminatorClassifierBase* classifiers_[CLASSIFIER_NUMBER];
+  double* weights_classifier_;
+
+ public:
+  TerminatorClassifierOWV(double* weights_classifier);
+  ~TerminatorClassifierOWV();
+  virtual void Train(std::map<std::string, node>& weights, bool is_spam);
+  virtual double Predict(std::map<std::string, node>& weights);
+};
+
+#endif
diff --git a/include/terminator_classifier_pa.h b/include/terminator_classifier_pa.h
new file mode 100644
index 0000000..96457a1
--- /dev/null
+++ b/include/terminator_classifier_pa.h
@@ -0,0 +1,25 @@
+//
+//  terminator_classifier_pa.h
+//  terminator
+//
+
+#ifndef terminator_terminator_classifier_pa_h
+#define terminator_terminator_classifier_pa_h
+
+#include "terminator_classifier_base.h"
+
+class TerminatorClassifierPA: public TerminatorClassifierBase {
+ private:
+
+  static const double DEFAULT_PA_SHIFT;
+
+  double pa_shift_;
+
+ public:
+
+  TerminatorClassifierPA();
+  virtual double Predict(std::map<std::string, node>& weights);
+  virtual void Train(std::map<std::string, node>& weights, bool is_spam);
+};
+
+#endif
diff --git a/include/terminator_classifier_pam.h b/include/terminator_classifier_pam.h
new file mode 100644
index 0000000..7675c42
--- /dev/null
+++ b/include/terminator_classifier_pam.h
@@ -0,0 +1,30 @@
+//
+//  terminator_classifier_pam.h
+//  terminator
+//
+
+#ifndef terminator_terminator_classifier_pam_h
+#define terminator_terminator_classifier_pam_h
+
+#include "terminator_classifier_base.h"
+
+class TerminatorClassifierPAM: public TerminatorClassifierBase {
+ private:
+
+  static const double DEFAULT_PAM_SHIFT;
+  static const double DEFAULT_PAM_LAMBDA;
+  static const int DEFAULT_PAM_MAX_ITERATIONS;
+
+  double pam_shift_;
+  double pam_lambda_;
+  double pam_max_iterations_;
+
+ public:
+
+  TerminatorClassifierPAM();
+  virtual double Predict(std::map<std::string, node>& weights);
+  virtual void Train(std::map<std::string, node>& weights, bool is_spam);
+
+};
+
+#endif
diff --git a/include/terminator_classifier_winnow.h b/include/terminator_classifier_winnow.h
new file mode 100644
index 0000000..518dd4f
--- /dev/null
+++ b/include/terminator_classifier_winnow.h
@@ -0,0 +1,37 @@
+//
+//  terminator_classifier_winnow.h
+//  terminator
+//
+
+#ifndef terminator_terminator_classifier_winnow_h
+#define terminator_terminator_classifier_winnow_h
+
+#include "terminator_classifier_base.h"
+
+class TerminatorClassifierWinnow: public TerminatorClassifierBase {
+ private:
+
+  static const double DEFAULT_WINNOW_THRESHOLD;
+  static const double DEFAULT_WINNOW_SHIFT;
+  static const double DEFAULT_WINNOW_THICKNESS;
+  static const double DEFAULT_WINNOW_ALPHA;
+  static const double DEFAULT_WINNOW_BETA;
+  static const double DEFAULT_WINNOW_MAX_ITERATIONS;
+
+  double winnow_threshold_;
+  double winnow_shift_;
+  double winnow_thickness_;
+  double winnow_alpha_;
+  double winnow_beta_;
+  double winnow_max_iterations_;
+
+ public:
+
+  TerminatorClassifierWinnow();
+  virtual double Predict(std::map<std::string, node>& weights);
+  virtual void Train(std::map<std::string, node>& weights, bool is_spam);
+
+};
+
+
+#endif
diff --git a/include/terminator_common.h b/include/terminator_common.h
new file mode 100644
index 0000000..af035ec
--- /dev/null
+++ b/include/terminator_common.h
@@ -0,0 +1,45 @@
+//
+//  terminator_common.h
+//  terminator
+//
+
+#ifndef terminator_terminator_common_h
+#define terminator_terminator_common_h
+
+#include <string>
+#include <map>
+#include <cmath>
+
+/**
+ * base model of terminator
+ * store information of each feature
+ * */
+struct Node {
+  float logist;
+  float bwinnow_upper;
+  float bwinnow_lower;
+  int nsnb_spam;
+  int nsnb_ham;
+  double nsnb_confidence;
+  float pam;
+  float pa;
+  float winnow;
+  int hit_spam;
+  int hit_ham;
+  float hit;
+  int nb_spam;
+  int nb_ham;
+};
+
+typedef struct Node node;
+typedef struct Node * ptr_node;
+
+inline double logist(double x) {
+  return 1.0 / (1.0 + exp(-x));
+}
+
+inline double invlogist(double x) {
+  return log(x / (1 - x));
+}
+
+#endif