makefile

基于稀疏网络的精选机器学习模型

# Makefile for Class Library Snow + snow executable
# This makefile creates subdirectories for the header files and source
# directories; once compiled, it moves the library source and headers to
# these directories.
# It then compiles the executable.

NAME = snow

VERSION = 3.2.1
#PROFILE = -pg -gstabs  # If you want to create performance profiles with gprof
CXXFLAGS = -O3 -fPIC $(PROFILE)

# For Linux, uncomment the following, and see the note a few lines down next
# to the "LIBRARIES" variable.
# Tested on Linux 2.4.18-19.7.x with GCC v2.96
CXXFLAGS += -DLINUX

# If you do not have hash_map support, comment out the following line.
CXXFLAGS += -DHASH_MAP

ifdef SERVER
CXXFLAGS += -DSERVER_MODE_
LIBRARIES =  -lpthread # You may need to remove xnet if using Linux.
endif


# *****SPECIFY ABSOLUTE PATH TO LIBSNOW DIRECTORY HERE******

LIBSNOWDIR = ./
LIBSNOWHEADERSDIR = ./ 
LIBSNOWSOURCEDIR = ./

LIBRARIES += -L$(LIBSNOWDIR) -lsnow



###


###
# Library class Dependencies

SNOWOBJS = Cloud.o TargetRank.o Winnow.o Perceptron.o NaiveBayes.o \
	Target.o TargetIdSet.o Snow.o SnowParam.o Example.o Network.o
CLOUDDEPS = Cloud.h TargetRank.h Winnow.h Perceptron.h NaiveBayes.h \
            LearningAlgorithm.h Target.h GlobalParams.h TargetIdSet.h \
            SnowTypes.h MinimalFeature.h
EXAMPLEDEPS = Example.h GlobalParams.h TargetIdSet.h SnowTypes.h
NAIVEBAYESDEPS = NaiveBayes.h LearningAlgorithm.h Target.h GlobalParams.h \
                 TargetIdSet.h SnowTypes.h MinimalFeature.h
NETWORKDEPS = Network.h TargetRank.h Winnow.h Perceptron.h NaiveBayes.h \
              LearningAlgorithm.h Target.h GlobalParams.h TargetIdSet.h \
              SnowTypes.h MinimalFeature.h
PERCEPTRONDEPS = Perceptron.h LearningAlgorithm.h Target.h GlobalParams.h \
                 TargetIdSet.h SnowTypes.h MinimalFeature.h
SNOWDEPS = GlobalParams.h Cloud.h Network.h Example.h 
SNOWPARAMDEPS = SnowParam.h GlobalParams.h TargetIdSet.h SnowTypes.h
TARGETDEPS = Target.h LearningAlgorithm.h GlobalParams.h TargetIdSet.h \
             Winnow.h Perceptron.h NaiveBayes.h SnowTypes.h MinimalFeature.h
TARGETIDSETDEPS = TargetIdSet.h SnowTypes.h
TARGETRANKDEPS = TargetRank.h GlobalParams.h TargetIdSet.h SnowTypes.h
WINNOWDEPS = Winnow.h LearningAlgorithm.h Target.h GlobalParams.h \
             TargetIdSet.h SnowTypes.h MinimalFeature.h
MAINDEPS = SendReceive.h

###


SOURCES = $(wildcard *.cpp)


###
# Build rules for executable
$(NAME) : Main.o $(MAINDEPS)
	$(CXX) -I$(LIBSNOWHEADERSDIR) $(PROFILE) -o $(NAME) Main.o $(LIBRARIES)

MAINDEPS = Snow.h Usage.h SnowParam.h SendReceive.h libsnow.a

Main.o : Main.cpp $(MAINDEPS) 
	$(CXX) -I$(LIBSNOWHEADERSDIR) -c $(CXXFLAGS) Main.cpp
###
# Build rules for Snow library:
libsnow.a : $(SNOWOBJS)
	ar rc libsnow.a $(SNOWOBJS)
	ranlib libsnow.a

Cloud.o : $(CLOUDDEPS)
	$(CXX) -c $(CXXFLAGS) Cloud.cpp 

Example.o : $(EXAMPLEDEPS)
	$(CXX) -c $(CXXFLAGS) Example.cpp

NaiveBayes.o : $(NAIVEBAYESDEPS)
	$(CXX) -c $(CXXFLAGS) NaiveBayes.cpp 

Network.o : $(NETWORKDEPS)
	$(CXX) -c $(CXXFLAGS) Network.cpp 

Perceptron.o : $(PERCEPTRONDEPS)
	$(CXX) -c $(CXXFLAGS) Perceptron.cpp 

Snow.o : $(SNOWDEPS)
	$(CXX) -c $(CXXFLAGS) Snow.cpp 

SnowParam.o : $(SNOWPARAMDEPS)
	$(CXX) -c $(CXXFLAGS) SnowParam.cpp 

Target.o : $(TARGETDEPS)
	$(CXX) -c $(CXXFLAGS) Target.cpp 

TargetIdSet.o : $(TARGETIDSETDEPS)
	$(CXX) -c $(CXXFLAGS) TargetIdSet.cpp

TargetRank.o : $(TARGETRANKDEPS)
	$(CXX) -c $(CXXFLAGS) TargetRank.cpp 

Winnow.o : $(WINNOWDEPS)
	$(CXX) -c $(CXXFLAGS) Winnow.cpp 

#SendReceive.o: SendReceive.h SendReceive.cpp
#	$(CXX) -c $(CXXFLAGS) SendReceive.cpp

###


###
# Utility rules
.PHONY : clean dist

clean: 
	-rm -f core gmon.out $(SNOWOBJS) $(NAME)


EXTRAS = Makefile getopt.c README README2 revisions.txt \
         booleanexample/booleantest.snow booleanexample/one_target.arch \
         booleanexample/one_target_train.snow booleanexample/run.bat \
         booleanexample/run.sh booleanexample/two_targets.arch \
         booleanexample/two_targets_train.snow \
         booleanexample/conjunction_generator.pl \
         booleanexample/disjunction_generator.pl \
         tutorial/example_client.pl tutorial/archfile tutorial/testdata.snow \
         tutorial/traindata.snow tutorial/tutorial.bat tutorial/tutorial.sh \
         tutorial/Getopt/Declare.pm

dist : ../SNoW_v$(VERSION).tar.gz

../SNoW_v$(VERSION).tar.gz : $(SOURCES) *.h $(EXTRAS)
	cd ..; gtar zcf $(@F) $(^:%=$(notdir $(PWD))/%)
###