def accuracy(train, test):
turn = 4
entityScoreSum = 0
emotionScoreSum = 0
for i in range(turn):
# 切分数据
data_split('../coreEntityEmotion_baseline/data',
'coreEntityEmotion_train.txt')
# 训练
train.train_ents()
# 测试
test.test()
# 计算F1
entityScore, emotionScore = computeF1Score(
'../coreEntityEmotion_baseline/data/coreEntityEmotion_train.txt',
'result/result_lgb.txt')
print('turn:', i + 1, 'lgb：', 'entityScore:', entityScore,
'emotionScore:', emotionScore)
entityScore, emotionScore = computeF1Score(
'../coreEntityEmotion_baseline/data/coreEntityEmotion_train.txt',
'result/result_xgb.txt')
print('turn:', i + 1, 'xgb：', 'entityScore:', entityScore,
'emotionScore:', emotionScore)
# 统计F1
entityScoreSum += entityScore
emotionScoreSum += emotionScore
# 输出平均值
print('平均entityScore:', entityScoreSum / turn, '平均emotionScore:',
emotionScoreSum / turn)
return entityScoreSum / turn, emotionScoreSum / turn
def accuracy(test, input_param=None):
turn = 5
entityScoreSum = 0
emotionScoreSum = 0
for i in range(turn):
# 切分数据
data_split('../coreEntityEmotion_baseline/data',
'coreEntityEmotion_train.txt')
# 测试
test.testCoreEntity(
'../coreEntityEmotion_baseline/data/2_coreEntityEmotion_train.txt',
'../coreEntityEmotion_baseline/data/2_coreEntityEmotion_train_result.txt',
param=input_param)
# 计算F1
entityScore, emotionScore = computeF1Score(
'../coreEntityEmotion_baseline/data/coreEntityEmotion_train.txt',
'../coreEntityEmotion_baseline/data/2_coreEntityEmotion_train_result.txt'
)
print('turn:', i + 1, 'entityScore:', entityScore, 'emotionScore:',
emotionScore)
# 统计F1
entityScoreSum += entityScore
emotionScoreSum += emotionScore
# 输出平均值
print('平均entityScore:', entityScoreSum / turn, '平均emotionScore:',
emotionScoreSum / turn)
return entityScoreSum / turn, emotionScoreSum / turn
if __name__ == '__main__':
from time import time
start = time()
test = Test()
turn = 5
entityScoreSum = 0
emotionScoreSum = 0
for i in range(turn):
# 切分数据
data_split('../coreEntityEmotion_baseline/data', 'coreEntityEmotion_train.txt')
# 训练
# trainer = Train()
# trainer.trainCoreEntity()
# trainer.trainEmotion()
# 测试
test.testCoreEntity('../coreEntityEmotion_baseline/data/2_coreEntityEmotion_train.txt',
'../coreEntityEmotion_baseline/data/2_coreEntityEmotion_train_result.txt')
# 计算F1
entityScore, emotionScore = computeF1Score('../coreEntityEmotion_baseline/data/coreEntityEmotion_train.txt',
'../coreEntityEmotion_baseline/data/2_coreEntityEmotion_train_result.txt')
print('turn:', i + 1, 'entityScore:', entityScore, 'emotionScore:', emotionScore)
# 统计F1
entityScoreSum += entityScore
emotionScoreSum += emotionScore
# 输出平均值
print('平均entityScore:', entityScoreSum / turn, '平均emotionScore:', emotionScoreSum / turn)
print('end:', time() - start)
