Uhlolojikelele
Ukuhlolwa kwe-A/B kwamamodeli e-ML kusho ukuqondisa ithrafikhi ebukhoma ezinguqulweni zamamodeli amabili ngesikhathi esisodwa nokulinganisa ukuthi iyiphi eyenza kangcono kubasebenzisi bangempela nemiphumela yangempela. Kubalulekile ngoba amamethrikhi okunemba ungaxhunyiwe ku-inthanethi ngokuvamile ehluleka ukubikezela umthelela webhizinisi, ngakho okuwukuphela kokuhlola okuthembekile ukuhlola okulawulwayo ekukhiqizeni.
Ukuhlolwa kwe-A/B Kwamamodeli e-ML kuyibhlokhi yokwakha yobuchwepheshe ethinta ikhwalithi yamamodeli, izindleko zengqalasizinda, ukubambezeleka, nokuthembeka esikalini.
I-Deep Dive
Imodeli engaxhunyiwe ku-inthanethi ingase ibukeke iyinhle - i-AUC ephezulu, iphutha eliphansi - nokho isalimaza imethrikhi oyikhathalelayo, njengemali engenayo noma ukugcinwa. Ukuhlolwa kwe-A/B kuxazulula lokhu ngokuhlukanisa abasebenzisi ngokungahleliwe babe yiqembu elilawulayo elinikezwa imodeli ekhona (A) kanye neqembu lokwelapha elinikezwa imodeli yekhandidethi (B), bese kuqhathaniswa imethrikhi yempumelelo ekhethiwe. Ukungahleliwe kuqinisekisa ukuthi amaqembu ayaqhathaniseka, ngakho-ke noma yimuphi umehluko ungabalelwa kumodeli. Amaqembu asebenzisa ukuhlola kwezibalo ze-hypothesis ukuze anqume ukuthi igebe eliboniwe lingokoqobo noma linomsindo nje, libeka ileveli yokubaluleka (ngokuvamile engu-5%) kanye nokwenza ikhompuyutha usayizi wesampula odingekayo ukuze uthole amandla anele ezibalo. Amasu ahlobene ahlanganisa ukukhishwa kwe-canary, lapho iphesenti elincane lethrafikhi lizama imodeli entsha kuqala, nokuhlolwa kwethunzi, lapho imodeli entsha ithola khona izicelo ngaphandle kokuthinta abasebenzisi.
I-Technical Insight
Umnyombo uwukuhlolwa kwe-hypothesis. I-null hypothesis ithi womabili amamodeli asebenza ngokulinganayo; uyenqaba kuphela uma umehluko ubalulekile ngokwezibalo uma kubhekwa ukwehluka nosayizi wesampula. I-p-value engaphansi komkhawulo wakho (yithi 0.05) iphakamisa ukuthi umphumela mancane amathuba okuba ube ngaphansi kwethuba elimsulwa. Ukuhlaziywa kwamandla ngaphambili kukutshela ukuthi bangaki abasebenzisi obadingayo ukuze uthole umthelela onengqondo - ukuthuthukiswa okuncane okulindelekile kudinga isampula enkulu ukuze kuqinisekiswe.
I-Mastering A/B Testing for ML Models
Ukuhlolwa kwe-A/B kwamamodeli e-ML kusho ukuqondisa ithrafikhi ebukhoma ezinguqulweni zamamodeli amabili ngesikhathi esisodwa nokulinganisa ukuthi iyiphi eyenza kangcono kubasebenzisi bangempela nemiphumela yangempela. Kubalulekile ngoba amamethrikhi okunemba ungaxhunyiwe ku-inthanethi ngokuvamile ehluleka ukubikezela umthelela webhizinisi, ngakho okuwukuphela kokuhlola okuthembekile ukuhlola okulawulwayo ekukhiqizeni. Ukuhlolwa kwe-A/B Kwamamodeli e-ML kuyibhlokhi yokwakha yobuchwepheshe ethinta ikhwalithi yamamodeli, izindleko zengqalasizinda, ukubambezeleka, nokuthembeka esikalini. Ukuze wakhe ukuqonda okujulile, phatha Ukuhlolwa kwe-A/B Kwamamodeli e-ML njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, cacisa ukuqagela, futhi uhlukanise lokho isistimu engakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa Ukuhlolwa kwe-A/B Kwamamodeli e-ML alungiselela izakhiwo, idatha, nokukhetha kwengqalasizinda ngokumelene nokuthembeka nezindleko. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka. Ngesikhathi esifanayo, Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka.
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha.
Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni.
Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
Isevisi yokusakaza-bukhoma engu-A/B ihlola imodeli entsha yokuncoma, ikala isikhathi sokubuka ngomsebenzisi ngamunye kunokunemba kwezinga ungaxhunyiwe ku-inthanethi.
Isayithi le-e-commerce canary-likhipha imodeli entsha yezinga lokusesha ukuya ku-5% wethrafikhi ngaphambi kokukhishwa okugcwele.
Isithunzi sasebhange-sihlola imodeli yokukhwabanisa entsha ngokuhambisana, siqhathanisa izexwayiso zayo nemodeli ebukhoma ngaphandle kokuvimba noma yikuphi ukuthengiselana.
Uhlelo lokusebenza lwe-ride-hailing lusebenzisa isigebengu esihlome ngezikhali eziningi ukuhambisa izicelo phakathi kwamamodeli entengo, luvuna lowo oshayela ukugibela okuphelele.
Amaphethini Okusebenzisa
Ukuhlolwa kwe-A/B Kwamamodeli e-ML ekusebenzeni
Isevisi yokusakaza-bukhoma engu-A/B ihlola imodeli entsha yokuncoma, ikala isikhathi sokubuka ngomsebenzisi ngamunye kunokunemba kwezinga ungaxhunyiwe ku-inthanethi.
Isevisi yokusakaza-bukhoma i-A/B ihlola imodeli entsha yesincomo, ikala isikhathi sokubuka ngomsebenzisi ngamunye esikhundleni sokunemba kwezinga elingaxhunyiwe ku-inthanethi Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Ukuhlolwa kwe-A/B Kwamamodeli e-ML ekusebenzeni
Isayithi le-e-commerce canary-likhipha imodeli entsha yezinga lokusesha ukuya ku-5% wethrafikhi ngaphambi kokukhishwa okugcwele.
Isayithi le-e-commerce canary-likhipha imodeli entsha yezinga lokusesha ukuya ku-5% wethrafikhi ngaphambi kokukhishwa okugcwele Amathimba ngokuvamile athola imiphumela engcono uma echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka kwabantu yamacala abucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Ukuhlolwa kwe-A/B Kwamamodeli e-ML ekusebenzeni
Isithunzi sasebhange-sihlola imodeli yokukhwabanisa entsha ngokuhambisana, siqhathanisa izexwayiso zayo nemodeli ebukhoma ngaphandle kokuvimba noma yikuphi ukuthengiselana.
Isithunzi sasebhange sihlola imodeli entsha yokukhwabanisa ngokuhambisana, siqhathanisa izexwayiso zayo nemodeli ebukhoma ngaphandle kokuvimbela noma yikuphi ukuthengiselana Amathimba ngokuvamile athola imiphumela engcono lapho echaza izilinganiso zekhwalithi ngaphambili, agcine indlela yokukhuphuka kwabantu yamacala abucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Ukuhlolwa kwe-A/B Kwamamodeli e-ML ekusebenzeni
Uhlelo lokusebenza lwe-ride-hailing lusebenzisa isigebengu esihlome ngezikhali eziningi ukuhambisa izicelo phakathi kwamamodeli entengo, luvuna lowo oshayela ukugibela okuphelele.
Uhlelo lokusebenza lokugibelela lusebenzisa isigebengu esihlome ngezindlela eziningi ukuqondisa izicelo phakathi kwamamodeli entengo, ukukhetha oshayela ukugibela okuqediwe Kakhudlwana Amaqembu ngokuvamile athola imiphumela engcono uma echaza ikhwalithi ephezulu ngaphambili, egcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Izingozi & Guardrails
Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu.
Izindleko zengqalasizinda nezokulungisa zivame ukubukelwa phansi.
Izikhala zokuphepha nokubonakala zingakhula njengoba izinhlelo ziba nzima kakhulu.
Ukuqalisa Umhlahlandlela
Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa.
Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha.
Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi.
Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala.
Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.