All the scores are greater than 0.5 about dkn HOT 2 OPEN

并且经过迭代，scores会趋近于相同的值，均大于0.5。

epoch 100的scores：
[0.6115123 0.6114054 0.61139154 0.6114779 0.61137956 0.61161387
0.61143994 0.6114869 0.61154795 0.6115096 0.61156523 0.6115037
0.61160225 0.6115904 0.6115719 0.6115233 0.6114517 0.6115886
0.61146796 0.61146057 0.6116442 0.6114422 0.61163694 0.61163735
0.61164653 0.61165637 0.6117011 0.6116333 0.6116859 0.61159563
0.6115844 0.6115843 0.61142695 0.611486 0.61143196 0.6114803
0.61162037 0.6115111 0.611487 0.61162305 0.61148 0.61146945
0.6116037 0.61147493 0.61148036 0.6115005 0.61152196 0.611457
0.61145115 0.611455 0.61178094 0.6114728 0.6114974 0.6115483
0.61075866 0.6115139 0.61145407 0.61204046 0.6114398 0.6114612
0.61145985 0.61156857 0.6114633 0.61145943 0.6114787 0.6114995
0.61147964 0.6114583 0.6115954 0.6114905 0.6114755 0.6114817
0.61148715 0.61149585 0.6116051 0.6115575 0.6115743 0.61157537
0.6116407 0.6114951 0.6114755 0.6115757 0.61147726 0.6116489
0.6115388 0.6114774 0.61162347 0.6117288 0.61155486 0.61141336
0.6115781 0.6114775 0.61148745 0.6116252 0.61145645 0.6115031
0.61148727 0.61160564 0.6114633 0.6115152 0.6114772 0.61195594
0.6115621 0.61147606 0.6114791 0.61144435 0.6115839 0.6116113
0.61176085 0.6119781 0.6114788 0.61148775 0.6115062 0.6114819
0.61145043 0.6114481 0.61145234 0.61144483 0.6114232 0.6115229
0.6115089 0.61150545 0.61167985 0.6114568 0.6115693 0.61169976
0.6114971 0.611571 0.61146647 0.61149913 0.6114649 0.61154944
0.6115158 0.61152416 0.61151785 0.61149395 0.61153257 0.61151063
0.6114777 0.611481 0.6114493 0.61162025 0.6114731 0.61147285
0.6115188 0.6115083 0.6114816 0.6114405 0.6114401 0.611522
0.61146253 0.6114677 0.61156005 0.61160976 0.61169064 0.6115875
0.61149746 0.6115005 0.6114717 0.61157537 0.6116201 0.6114725
0.6115349 0.61152714 0.6114577 0.61151236 0.61142987 0.6114892
0.6115098 0.6115098 0.61144745 0.61147696 0.6116617 0.6115117
0.61142516 0.6114512 0.6114565 0.611465 0.6115501 0.61148393
0.6116086 0.6116134 0.6115412 0.61153877 0.6115322 0.6118245
0.6117899 0.61156166 0.611499 0.6114515 0.61152226 0.6115887
0.6114243 0.61141986 0.61152965 0.6114705 0.6114905 0.6115686
0.6115762 0.6115979 0.6115433 0.61149 0.61153376 0.61161363
0.6115198 0.6119632 0.61155605 0.61169696 0.6114717 0.6115685
0.6115464 0.61152184 0.6115747 0.6114677 0.6114795 0.6115308
0.6120767 0.6114688 0.61150825 0.61152756 0.61143285 0.6114208
0.6114341 0.61201936 0.6115666 0.61156 0.61169827 0.61161727
0.6114612 0.61154735 0.6116933 0.6116828 0.6115934 0.611559
0.6116178 0.6113787 0.61177605 0.61146474 0.61157674 0.61157686
0.6117026 0.6115873 0.61152065 0.61151624 0.6115169 0.61147875
0.6115388 0.61145484 0.6114155 0.61172426 0.6114926 0.61169463
0.61202693 0.6116871 0.61146367 0.6115699 0.61147976 0.61168206
0.6115496 0.6116751 0.6116751 0.6116832 0.61181927 0.61167437
0.6118379 0.61167955 0.6117714 0.61184907 0.61166626 0.61172056
0.61195 0.61169755 0.61167455 0.61184883 0.611589 0.61166745
0.61161 0.61161625 0.6115706 0.6115128 0.6115843 0.6114835
0.61147076 0.6115354 0.6114693 0.6114853 0.6114687 0.61192715
0.6114689 0.6118907 0.61174035 0.61150354 0.6114521 0.6114548
0.6114514 0.61154497 0.61146706 0.6115333 0.6114552 0.6114551
0.6115092 0.6114662 0.6115486 0.61145365 0.6115531 0.611501
0.6115386 0.6114861 0.61148 0.61145484 0.61147463 0.6115061
0.6115035 0.6116509 0.61156404 0.6115929 0.6116065 0.6115542
0.61157763 0.6116215 0.6116418 0.611624 0.6118112 0.61147755
0.61147606 0.6114789 0.6114504 0.61150193 0.6115481 0.6114471
0.6114365 0.611542 0.6114506 0.6115021 0.61145043 0.61143446
0.6114365 0.61151433 0.61145675 0.6115629 0.6115369 0.6115444
0.6115035 0.6115226 0.61158335 0.6114892 0.61168426 0.61167663
0.61171633 0.61177063 0.6119019 0.6119002 0.6117494 0.6119032
0.61189985 0.6118589 0.61189365 0.6118982 0.61177874 0.61191934
0.61166716 0.61152434 0.6114509 0.611549 0.6114744 0.611504
0.61163473 0.61142534 0.61154354 0.6115311 0.611575 0.6114666
0.61151314 0.6114647 0.61149204 0.61147994 0.6115247 0.61153936
0.611466 0.6115005 0.6115166 0.6114986 0.6116704 0.611531
0.61149895 0.61152023 0.61159164 0.61159146 0.61145127 0.6115469
0.6114621 0.61157674 0.611449 0.6114639 0.6114617 0.6115296
0.6114814 0.6114664 0.6114545 0.6114854 0.61153114 0.6117027
0.6116931 0.6115784 0.6116659 0.6115674 0.6114564 0.611547
0.6116398 0.6115715 0.6115761 0.61157686 0.611576 0.6116165
0.6115733 0.61156857 0.6115343 0.611556 0.6115236 0.61180246
0.61161375 0.61161387 0.61160934 0.611944 0.611585 0.61162806
0.61156034 0.6115134 0.6114713 0.6117383 0.6115707 0.6116656
0.61173284 0.61170304 0.61155754 0.611491 0.6115335 0.6116363
0.6115564 0.6115818 0.61152816 0.6114813 0.61148465 0.61156917
0.61167854 0.611498 0.61167854 0.61142284 0.6122131 0.61146617
0.6114554 0.61148167 0.6114987 0.6114814 0.61147666 0.611526
0.61160266 0.6115053 0.61166346 0.61163807 0.61159307 0.6116459 ]

from dkn.

王老师您好，我在评估模型时将通过sigmoid转换之后得到的预测概率值scores输出，发现他们全部大于0.5，请问模型划分正负例的阈值是多少呢？（应该不是0.5？）

例如某一个epoch得到的scores: [0.5778407 0.61155593 0.57902104 0.6150518 0.61513776 0.605235 0.5789735 0.57939625 0.58373684 0.5776857 0.5788436 0.5802991 0.58303684 0.57765114 0.58011097 0.5782152 0.58273846 0.59276307 0.5777418 0.5781118 0.58053976 0.5770587 0.5848505 0.6206129 0.5796546 0.5936298 0.5800667 0.5841336 0.5985693 0.5795024 0.57965916 0.57965916 0.5940067 0.58897567 0.581066 0.5788839 0.59576434 0.5785835 0.5783613 0.5984433 0.5783426 0.5845572 0.5854817 0.5777896 0.5783829 0.58128166 0.5843682 0.57781625 0.58254665 0.5966302 0.592908 0.57927406 0.57772964 0.5805329 0.5793939 0.5789313 0.580673 0.62930167 0.57700074 0.5771642 0.5793654 0.5801946 0.5798775 0.57729614 0.5778348 0.5773217 0.5789409 0.5803839 0.58697975 0.57710063 0.5773818 0.57703525 0.57772624 0.58213145 0.58688086 0.58625937 0.5790521 0.583711 0.6132932 0.6129931 0.5814061 0.5788394 0.57913923 0.61161196 0.5792562 0.5790782 0.6079845 0.5920574 0.5793936 0.578782 0.584119 0.5926744 0.5794713 0.6049938 0.6050354 0.60463595 0.6047081 0.61172765 0.619973 0.60173035 0.6009864 0.58058125 0.60348684 0.5824682 0.57886064 0.5884625 0.5974402 0.578675 0.578743 0.57945085 0.5773963 0.57785344 0.5776528 0.57766426 0.577414 0.5773697 0.5899348 0.5813688 0.5976933 0.58020246 0.5853191 0.5883258 0.5884458 0.57786816 0.57844496 0.61082983 0.58969355 0.59313047 0.5914415 0.61171293 0.5790724 0.58127683 0.5841514 0.58132464 0.58002347 0.57958114 0.57698256 0.57736045 0.5829809 0.5780082 0.5776665 0.58005613 0.5967956 0.5783363 0.5775785 0.57833403 0.6010081 0.57743883 0.5820395 0.57780135 0.57779527 0.5832522 0.5774031 0.5813955 0.64714086 0.5897089 0.58454174 0.5777361 0.57789356 0.5920431 0.58439016 0.5799597 0.5790718 0.57887685 0.58060193 0.58858824 0.58267885 0.57806975 0.59110266 0.59110266 0.6118623 0.5787403 0.58097917 0.579126 0.58345675 0.5919414 0.5799597 0.57892144 0.6185592 0.5814157 0.5828195 0.5790548 0.57929236 0.5790717 0.5797003 0.58137774 0.58160037 0.5781356 0.5776759 0.57675505 0.5767635 0.5821508 0.5782573 0.57824135 0.58539546 0.577819 0.57790375 0.583094 0.6229433 0.5897612 0.5794023 0.5936962 0.59367275 0.59711105 0.57778823 0.5777652 0.6049461 0.5809651 0.57757777 0.5777028 0.58331954 0.57804024 0.5784547 0.5791342 0.58031636 0.6046847 0.60520047 0.5937593 0.58349776 0.58918655 0.585288 0.57771075 0.57864183 0.5796051 0.5799217 0.57687336 0.58341265 0.5785788 0.5789991 0.5795324 0.5821006 0.5966433 0.57749677 0.57777035 0.5910414 0.5773269 0.58567226 0.5843944 0.5774361 0.5958311 0.57861346 0.5779085 0.5836908 0.5775305 0.5810351 0.58814144 0.5789568 0.57872987 0.5776423 0.6053786 0.5790132 0.5928653 0.6052447 0.61543584 0.58458525 0.5783247 0.5830784 0.5811673 0.57899153 0.5809654 0.5809654 0.58994776 0.6330279 0.61973125 0.58105934 0.6396998 0.5890624 0.5808206 0.63922584 0.61993045 0.652699 0.58934414 0.6063602 0.61180705 0.5771982 0.5777954 0.5781886 0.5786163 0.5782559 0.5784811 0.5793637 0.5890808 0.5830033 0.58249104 0.60447097 0.57843167 0.57877594 0.57799184 0.59080225 0.57873803 0.5795959 0.5849787 0.5797996 0.579682 0.5805923 0.5797924 0.6207965 0.6172974 0.579682 0.5796384 0.5796296 0.5794636 0.58130836 0.61685055 0.581454 0.5855957 0.58034426 0.57981044 0.5810036 0.5794597 0.57951933 0.5829626 0.5786414 0.6041503 0.5790655 0.57868075 0.58829325 0.5786846 0.5817085 0.57936454 0.60755956 0.57873625 0.5784768 0.58369076 0.58381605 0.5836887 0.5858248 0.6171568 0.5904521 0.61717606 0.57917815 0.585089 0.5946311 0.57941866 0.5956347 0.5800357 0.57921237 0.57977897 0.57950985 0.59980136 0.5794211 0.5854362 0.57901037 0.5847996 0.5779387 0.57809323 0.5930451 0.58091354 0.5784779 0.578267 0.58326787 0.5783494 0.57879704 0.57847404 0.6102496 0.6100861 0.57847404 0.5784781 0.5782633 0.57895887 0.57854944 0.5831228 0.5891479 0.5931571 0.5818151 0.5823464 0.5790161 0.5795622 0.57984537 0.578698 0.5784987 0.58045685 0.57848155 0.5787312 0.57871133 0.5899911 0.5964079 0.5974127 0.6086674 0.59137857 0.57906425 0.58017033 0.62536037 0.5906543 0.57994765 0.5836277 0.6060708 0.60615116 0.5792676 0.5819194 0.5815447 0.57876724 0.57835925 0.57756114 0.58080244 0.5824134 0.579684 0.579288 0.59036326 0.5790007 0.57904476 0.58419985 0.5783132 0.57883286 0.6001782 0.57851803 0.57872695 0.5791408 0.5799836 0.57987076 0.5796064 0.5799593 0.57966936 0.59356964 0.58866215 0.5802649 0.58128166 0.58034664 0.5771053 0.5780635 0.57781297 0.58299184 0.5775686 0.5819763 0.57897043 0.5776775 0.5777392 0.5810676 0.57942575 0.5794476 0.5778632 0.59433913 0.5929802 0.6113254 0.58432055 0.5885272 0.5841351 0.57888293 0.58728164 0.57860404 0.5781007 0.57765305 0.5887117 0.584502 0.58222306 0.5774401 0.58222306 0.57812953 0.64316356 0.581735 0.58159864 0.57851267 0.5795053 0.5944862 0.5847298 0.57949877 0.58130103 0.58020645 0.5800007 0.5978961 0.5795877 0.5803144 ]

王老师您好，我在评估模型时将通过sigmoid转换之后得到的预测概率值scores输出，发现他们全部大于0.5，请问模型划分正负例的阈值是多少呢？（应该不是0.5？）

例如某一个epoch得到的scores: [0.5778407 0.61155593 0.57902104 0.6150518 0.61513776 0.605235 0.5789735 0.57939625 0.58373684 0.5776857 0.5788436 0.5802991 0.58303684 0.57765114 0.58011097 0.5782152 0.58273846 0.59276307 0.5777418 0.5781118 0.58053976 0.5770587 0.5848505 0.6206129 0.5796546 0.5936298 0.5800667 0.5841336 0.5985693 0.5795024 0.57965916 0.57965916 0.5940067 0.58897567 0.581066 0.5788839 0.59576434 0.5785835 0.5783613 0.5984433 0.5783426 0.5845572 0.5854817 0.5777896 0.5783829 0.58128166 0.5843682 0.57781625 0.58254665 0.5966302 0.592908 0.57927406 0.57772964 0.5805329 0.5793939 0.5789313 0.580673 0.62930167 0.57700074 0.5771642 0.5793654 0.5801946 0.5798775 0.57729614 0.5778348 0.5773217 0.5789409 0.5803839 0.58697975 0.57710063 0.5773818 0.57703525 0.57772624 0.58213145 0.58688086 0.58625937 0.5790521 0.583711 0.6132932 0.6129931 0.5814061 0.5788394 0.57913923 0.61161196 0.5792562 0.5790782 0.6079845 0.5920574 0.5793936 0.578782 0.584119 0.5926744 0.5794713 0.6049938 0.6050354 0.60463595 0.6047081 0.61172765 0.619973 0.60173035 0.6009864 0.58058125 0.60348684 0.5824682 0.57886064 0.5884625 0.5974402 0.578675 0.578743 0.57945085 0.5773963 0.57785344 0.5776528 0.57766426 0.577414 0.5773697 0.5899348 0.5813688 0.5976933 0.58020246 0.5853191 0.5883258 0.5884458 0.57786816 0.57844496 0.61082983 0.58969355 0.59313047 0.5914415 0.61171293 0.5790724 0.58127683 0.5841514 0.58132464 0.58002347 0.57958114 0.57698256 0.57736045 0.5829809 0.5780082 0.5776665 0.58005613 0.5967956 0.5783363 0.5775785 0.57833403 0.6010081 0.57743883 0.5820395 0.57780135 0.57779527 0.5832522 0.5774031 0.5813955 0.64714086 0.5897089 0.58454174 0.5777361 0.57789356 0.5920431 0.58439016 0.5799597 0.5790718 0.57887685 0.58060193 0.58858824 0.58267885 0.57806975 0.59110266 0.59110266 0.6118623 0.5787403 0.58097917 0.579126 0.58345675 0.5919414 0.5799597 0.57892144 0.6185592 0.5814157 0.5828195 0.5790548 0.57929236 0.5790717 0.5797003 0.58137774 0.58160037 0.5781356 0.5776759 0.57675505 0.5767635 0.5821508 0.5782573 0.57824135 0.58539546 0.577819 0.57790375 0.583094 0.6229433 0.5897612 0.5794023 0.5936962 0.59367275 0.59711105 0.57778823 0.5777652 0.6049461 0.5809651 0.57757777 0.5777028 0.58331954 0.57804024 0.5784547 0.5791342 0.58031636 0.6046847 0.60520047 0.5937593 0.58349776 0.58918655 0.585288 0.57771075 0.57864183 0.5796051 0.5799217 0.57687336 0.58341265 0.5785788 0.5789991 0.5795324 0.5821006 0.5966433 0.57749677 0.57777035 0.5910414 0.5773269 0.58567226 0.5843944 0.5774361 0.5958311 0.57861346 0.5779085 0.5836908 0.5775305 0.5810351 0.58814144 0.5789568 0.57872987 0.5776423 0.6053786 0.5790132 0.5928653 0.6052447 0.61543584 0.58458525 0.5783247 0.5830784 0.5811673 0.57899153 0.5809654 0.5809654 0.58994776 0.6330279 0.61973125 0.58105934 0.6396998 0.5890624 0.5808206 0.63922584 0.61993045 0.652699 0.58934414 0.6063602 0.61180705 0.5771982 0.5777954 0.5781886 0.5786163 0.5782559 0.5784811 0.5793637 0.5890808 0.5830033 0.58249104 0.60447097 0.57843167 0.57877594 0.57799184 0.59080225 0.57873803 0.5795959 0.5849787 0.5797996 0.579682 0.5805923 0.5797924 0.6207965 0.6172974 0.579682 0.5796384 0.5796296 0.5794636 0.58130836 0.61685055 0.581454 0.5855957 0.58034426 0.57981044 0.5810036 0.5794597 0.57951933 0.5829626 0.5786414 0.6041503 0.5790655 0.57868075 0.58829325 0.5786846 0.5817085 0.57936454 0.60755956 0.57873625 0.5784768 0.58369076 0.58381605 0.5836887 0.5858248 0.6171568 0.5904521 0.61717606 0.57917815 0.585089 0.5946311 0.57941866 0.5956347 0.5800357 0.57921237 0.57977897 0.57950985 0.59980136 0.5794211 0.5854362 0.57901037 0.5847996 0.5779387 0.57809323 0.5930451 0.58091354 0.5784779 0.578267 0.58326787 0.5783494 0.57879704 0.57847404 0.6102496 0.6100861 0.57847404 0.5784781 0.5782633 0.57895887 0.57854944 0.5831228 0.5891479 0.5931571 0.5818151 0.5823464 0.5790161 0.5795622 0.57984537 0.578698 0.5784987 0.58045685 0.57848155 0.5787312 0.57871133 0.5899911 0.5964079 0.5974127 0.6086674 0.59137857 0.57906425 0.58017033 0.62536037 0.5906543 0.57994765 0.5836277 0.6060708 0.60615116 0.5792676 0.5819194 0.5815447 0.57876724 0.57835925 0.57756114 0.58080244 0.5824134 0.579684 0.579288 0.59036326 0.5790007 0.57904476 0.58419985 0.5783132 0.57883286 0.6001782 0.57851803 0.57872695 0.5791408 0.5799836 0.57987076 0.5796064 0.5799593 0.57966936 0.59356964 0.58866215 0.5802649 0.58128166 0.58034664 0.5771053 0.5780635 0.57781297 0.58299184 0.5775686 0.5819763 0.57897043 0.5776775 0.5777392 0.5810676 0.57942575 0.5794476 0.5778632 0.59433913 0.5929802 0.6113254 0.58432055 0.5885272 0.5841351 0.57888293 0.58728164 0.57860404 0.5781007 0.57765305 0.5887117 0.584502 0.58222306 0.5774401 0.58222306 0.57812953 0.64316356 0.581735 0.58159864 0.57851267 0.5795053 0.5944862 0.5847298 0.57949877 0.58130103 0.58020645 0.5800007 0.5978961 0.5795877 0.5803144 ]

你好，想请问你一下，sigmoid要如何转化为概率值进行输出，谢谢

from dkn.