Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank and Factorization Machines.
hi,CastellanZhang:
用lambdafm_train函数训练出模型之后,执行lambdafm_predict调用模型进行预测时抛出异常:
terminate called after throwing an instance of 'std::out_of_range'
what(): stod
已放弃(吐核)
hi,CastellanZhang: 用lambdafm_train函数训练出模型之后,执行lambdafm_predict调用模型进行预测时抛出异常: terminate called after throwing an instance of 'std::out_of_range' what(): stod 已放弃(吐核)
请问这个问题如何解决?谢谢!