def run_para(oriTrain,oriTest,field,numField,postfix,isToCSV=True):
if isToCSV: csv_2_ffm.to_ffm(oriTrain,oriTest,field,numField=numField,postfix= postfix)
trainFile = oriTrain[0:-4]+ '_'+ postfix +'.ffm'
testFile = oriTest[0:-4]+ '_'+ postfix +'.ffm'
t=str(150) ; k=str(8) ; l=str(0.00002)
resultName = '../submit/ffm_'+ postfix + '_t{t}_k{k}_l{l}'.format(t=t,k=k,l=l,feat=str(len(field)))
assignCMDPara=' -t {t} -k {k} -l {l} -s 4 -r 0.02 '.format(t=t,k=k,l=l)
ffm.runffm(trainFile,testFile,resultName,assignCMDPara)
def onceRun(day):
oriTrain = '../data/temp/train_preAction_{day}.csv'.format(day=day)
oriTest = '../data/temp/test_preAction_19.csv'
postfix='m_p_u_amc_s{feat}_preAction_{day}'.format(feat=str(len(field)),day=day)
csv_2_ffm.to_ffm(oriTrain,oriTest,field,numField=[],postfix= postfix)
trainFile = oriTrain[0:-4]+ '_'+ postfix +'.ffm'
testFile = oriTest[0:-4]+ '_'+ postfix +'.ffm'
t=str(150)
k=str(8)
l=str(0.00002)
resultName = '../submit/ffm_'+ postfix + '_t{t}_k{k}_l{l}'.format(t=t,k=k,l=l,feat=str(len(ori11Field)))
assignCMDPara=' -t {t} -k {k} -l {l} -s 4 -r 0.02 '.format(t=t,k=k,l=l)
ffm.runffm(trainFile,testFile,resultName,assignCMDPara)
def run_userIDappID_2():
ori11Field=copyField[:]
oriTrain = '../data/temp/train_preAction_userID,appID_5_.csv'
oriTest = '../data/temp/test_preAction_userID,appID_5_.csv'
ori11Field.extend(['preAction','preClickCount','preClickDist','preConvCount','preConvDist'])
numField=['preClickCount','preClickDist','preConvCount','preConvDist']
postfix='m_p_u_amc_s{feat}_preAction_appIDuserID_5'.format(feat=str(len(ori11Field)))
csv_2_ffm.to_ffm(oriTrain,oriTest,ori11Field,numField=numField,postfix= postfix)
trainFile = oriTrain[0:-4]+ '_'+ postfix +'.ffm'
testFile = oriTest[0:-4]+ '_'+ postfix +'.ffm'
t=str(150) ;k=str(8) ;l=str(0.00002)
resultName = '../submit/ffm_'+ postfix + '_t{t}_k{k}_l{l}'.format(t=t,k=k,l=l,feat=str(len(ori11Field)))
assignCMDPara=' -t {t} -k {k} -l {l} -s 4 -r 0.02 '.format(t=t,k=k,l=l)
ffm.runffm(trainFile,testFile,resultName,assignCMDPara)
def oriInRun():
oriTrain = '../data/sample/recent20.csv'
oriTest = '../data/sample/test_oldPositionIDadID.csv'
postfix='oldPositionIDadID_recent20_s{feat}'.format(feat=str(len(ori11Field)))
csv_2_ffm.to_ffm(oriTrain,oriTest,ori11Field,numField=[],postfix= postfix)
trainFile = oriTrain[0:-4]+ '_'+ postfix +'.ffm'
testFile = oriTest[0:-4]+ '_'+ postfix +'.ffm'
t=str(150)
k=str(8)
l=str(0.00002)
resultName ='../data/sample/result/ffm_'+ postfix + '_t{t}_k{k}_l{l}'.format(t=t,k=k,l=l,feat=str(len(ori11Field)))
assignCMDPara=' -t {t} -k {k} -l {l} -s 4 -r 0.02 '.format(t=t,k=k,l=l)
instanceID=pd.read_csv(oriTest)['instanceID'].tolist()
return ffm.runffm(trainFile,testFile,resultName,assignCMDPara,instanceID=instanceID)
def newInRun():
newInField=ori11Field[:]
newInField.extend( [ "hometown" ,"residence","sitesetID","appPlatform" "hourTime","appSum"] )
oriTrain = '../data/sample/mergeAll_recent20.csv'
oriTest = '../data/sample/test_newPositionIDadID.csv'
postfix='newPositionIDadID_recent20_s{feat}'.format(feat=str(len(newInField)))
csv_2_ffm.to_ffm(oriTrain,oriTest,ori11Field,numField=[],postfix= postfix)
trainFile = oriTrain[0:-4]+ '_'+ postfix +'.ffm'
testFile = oriTest[0:-4]+ '_'+ postfix +'.ffm'
t=str(150)
k=str(8)
l=str(0.00002)
resultName = '../data/sample/result/ffm_'+ postfix + '_t{t}_k{k}_l{l}'.format(t=t,k=k,l=l,feat=str(len(ori11Field)))
assignCMDPara=' -t {t} -k {k} -l {l} -s 4 -r 0.02 '.format(t=t,k=k,l=l)
instanceID=pd.read_csv(oriTest)['instanceID'].tolist()
return ffm.runffm(trainFile,testFile,resultName,assignCMDPara,instanceID=instanceID)
def mergeRun(field_21,
numField_21,
fixDay,
addPostfix='',
needMerge=True,
toffm=True):
# merge_train = merge_appID_userID('../data/temp/train_preAction_userID_{fixDay}.csv'.format(fixDay=fixDay),
# '../data/temp/train_preAction_userIDappID_{fixDay}.csv'.format(fixDay=fixDay),
# '../data/temp/merge_appID_userID_{fixDay}.csv'.format(fixDay=fixDay))
# merge_test = merge_appID_userID('../data/temp/test_preAction_userID_{fixDay}.csv'.format(fixDay=fixDay),
# '../data/temp/test_preAction_userIDappID_{fixDay}.csv'.format(fixDay=fixDay),
# '../data/temp/merge_test_appID_userID_{fixDay}.csv'.format(fixDay=fixDay))
merge_train = '../data/temp/old/merge_appID_userID_{fixDay}.csv'.format(
fixDay=fixDay)
merge_test = '../data/temp/old/merge_test_appID_userID_{fixDay}.csv'.format(
fixDay=fixDay)
postfix = 'mergeAppUser_s{feat}_preAction_{fixDay}_{addPostfix}'.format(
feat=str(len(field_21)), fixDay=fixDay, addPostfix=addPostfix)
toffm = False
if toffm:
csv_2_ffm.to_ffm(merge_train,
merge_test,
field_21,
numField=numField_21,
postfix=postfix)
trainFile = merge_train[0:-4] + '_' + postfix + '.ffm'
testFile = merge_test[0:-4] + '_' + postfix + '.ffm'
t = str(120)
k = str(8)
l = str(0.00002)
resultName = '../submit/ffm_' + postfix + '_t{t}_k{k}_l{l}'.format(
t=t, k=k, l=l, feat=str(len(field_21)))
assignCMDPara = ' -t {t} -k {k} -l {l} -s 4 -r 0.02 '.format(t=t, k=k, l=l)
ffm.runffm(trainFile, testFile, resultName, assignCMDPara)
def validFFM(trainFile='../data/sample/m_p_u_amc.csv',
predictFile='',
resultName='../submit/ffmv',
paras='-l 0.00002 -k 8 -t 100 -r 0.02 -s 8',
isStop=False,
onlyValid=True,
field=[],
numField=[]):
timestr = datetime.now().strftime('%Y-%m-%d-%H-%M-%S')
modelFile = './valid/ffm-model-' + resultName.split('/')[-1] + '_' + (
'stop' if isStop else 'nostop') + '_' + timestr
resultOut = './valid/ffm-out-' + timestr
start = datetime.now()
if isStop and not onlyValid: raise Exception('autostop must with valied')
#生成划分----------------------
trainAddr, testAddr = splitTrainTest(trainFile)
csv_2_ffm.to_ffm(trainAddr,
testAddr,
field,
numField=numField,
postfix='valid')
trainFileName, testFileName = (trainAddr[0:-4] + '_valid.ffm',
testAddr[0:-4] + '_valid.ffm')
#训练，验证----------------------
if onlyValid: paras += ' -p ' + testFileName
if isStop: paras += ' --auto-stop'
trainCMD = 'ffm-train.exe ' + paras + ' {trainData} {model}'.format(
trainData=trainFileName, model=modelFile)
print trainCMD
subprocess.call(trainCMD, shell=True)
#trainInfo = os.popen(trainCMD).readlines() #执行该命令 #读取命令行的输出到一个list
if not onlyValid:
validOut = './valid/tempout/validTempOut-' + timestr
testCMD = 'ffm-predict.exe {testData} {model} {out}'.format(
testData=testFileName, model=modelFile, out=validOut)
subprocess.call(testCMD, shell=True)
#testInfo = os.popen(testCMD).readlines()
#训练完后进行最终提交预测------------------------------------
# resultFile = resultName +'_'+ ('stop' if isStop else 'nostop') +'_'+ timestr +'.csv'
# predictCMD= 'ffm-predict.exe {predictData} {model} {out}'.format(predictData=predictFile,model=modelFile,out=resultOut)
# subprocess.call(predictCMD,shell=True)
# print 'writing submit result : ',resultFile
# with open(resultFile, 'w') as fo:
# fo.write('instanceID,prob\n')
# for t, row in enumerate(open(resultOut), start=1):
# fo.write('{0},{1}'.format(t, row))
#记录运行结果与参数
#备用，找到同时打印并记录控制台输出的方法后用
trainInfo = []
testInfo = []
logFile = '../log/ffm-log-' + resultName.split('/')[-1] + '_' + timestr
for i in xrange(0, len(trainInfo)):
trainInfo[i] = trainInfo[i].decode('gbk').encode('utf-8')
for j in xrange(0, len(testInfo)):
testInfo[j] = testInfo[j].decode('gbk').encode('utf-8')
print trainInfo
print testInfo
timeCostInfo = '时间: {0}'.format(datetime.now() - start)
with open(logFile, 'w') as fo2:
fo2.write(trainCMD)
fo2.writelines(trainInfo)
fo2.writelines(testInfo)
fo2.write(timeCostInfo)
print(timeCostInfo)
'connectionType_appID', #44
'adID_advertiserID', #45
'positionType_advertiserID', #46
'camgaignID_appID', #47
'positionType_appCategory', #48
'advertiserID_appID', #49
'positionType_appID', #50
'adID_appID', #51
'camgaignID_appCategory', #52
'appID_appCategory', #53
'adID_appCategory', #54
'advertiserID_appCategory', #55
]
oriTrain = '../data/m_p_u_amc_only11twoComb.csv'
oriTest = '../data/test_m_p_u_amc_only11twoComb.csv'
featNum = 22
field = combAllFeat()[0:featNum]
csv_2_ffm.to_ffm(oriTrain, oriTest, field, numField=[], postfix=str(featNum))
trainFile = '../data/m_p_u_amc_only11twoComb' + '_' + str(featNum) + '.ffm'
testFile = '../data/test_m_p_u_amc_only11twoComb' + '_' + str(featNum) + '.ffm'
t = str(250)
resultName = '../submit/ffmresult_ori_and_11twoComb' + '_' + str(
featNum) + '_t' + t
assignCMDPara = './ffm-train -l 0.00002 -k 4 -t ' + t + ' -r 0.02 -s 8'
ffm.runffm(trainFile, testFile, resultName, assignCMDPara)
#--------------------------
