Okuqukethwe[Fihla][Bonisa]
- 1. Usho ukuthini ngokuthi ama-MLOps?
- 2. Bahluka kanjani ososayensi bedatha, onjiniyela bedatha, nonjiniyela be-ML?
- 3. Yini ehlukanisa ama-MLOps ku-ModelOps kanye ne-AIOps?
- 4. Ungangitshela ezinye zezinzuzo zama-MLOps?
- 5. Ungangitshela izingxenye ze-MLOps?
- 6. Yiziphi izingozi eziza nokusebenzisa isayensi yedatha?
- 7. Ungakwazi yini ukuchaza, yini imodeli drift?
- 8. Zingaki izindlela ezehlukene ezingasetshenziswa ama-MLOps, ngokubona kwakho?
- 9. Yini ehlukanisa ukuthunyelwa okumile ekusetshenzisweni okuguquguqukayo?
- 10. Yiziphi izindlela zokuhlola ukukhiqiza owaziyo ngazo?
- 11. Yini ehlukanisa ukucubungula kokusakaza nokucutshungulwa kweqoqo?
- 12. Usho ukuthini uma uthi Training Serving Skew?
- 13. Usho ukuthini ngeRegistry Model?
- 14. Ungakwazi ukuchaza kabanzi ngezinzuzo ze-Model Registry?
- 15. Ungakwazi yini ukuchaza ukuthi i-Champion-Challenger iyasebenza?
- 16. Chaza izinhlelo zokusebenza ezingeni lebhizinisi ze-MLOps lifecycle?
- Isiphetho
Izinkampani zisebenzisa ubuchwepheshe obusafufusa obufana nobuhlakani bokwenziwa (AI) nokufunda komshini (ML) kaningi ukuze kukhuliswe ukufinyeleleka komphakathi kulwazi namasevisi.
Lobu buchwepheshe buya ngokuya busetshenziswa emikhakheni eyahlukene, ehlanganisa amabhange, ezezimali, ezokuthengisa, ezokukhiqiza, kanye nokunakekelwa kwezempilo.
Ososayensi bedatha, onjiniyela bokufunda ngomshini, nonjiniyela bobuhlakani bokwenziwa bayadingeka enanini elandayo lezinkampani.
Ukwazi okwenzekayo ukufunda imishini imibuzo yenhlolokhono yokusebenza okungase ikubuze yona abaphathi nabaqashi ibalulekile uma ufuna ukusebenza ezinkambini ze-ML noma ze-MLOps.
Ungafunda ukuthi ungayiphendula kanjani eminye yemibuzo yenhlolokhono ye-MLOps kulokhu okuthunyelwe njengoba usebenzela ukuthola umsebenzi wamaphupho akho.
1. Usho ukuthini ngokuthi ama-MLOps?
Isihloko sokusebenza kwamamodeli e-ML sigxile kakhulu kuma-MLOps, owaziwa nangokuthi Imisebenzi Yokufunda Ngomshini, inkambu ethuthukayo ngaphakathi kwenkundla enkulu ye-AI/DS/ML.
Umgomo oyinhloko wendlela yobunjiniyela besofthiwe nesiko elaziwa ngokuthi ama-MLOps ukuhlanganisa ukudalwa kwamamodeli okufunda komshini/isayensi yedatha kanye nokusebenza kwawo okulandelayo (Ops).
Ama-DevOps avamile kanye nama-MLOps abelana ngokufana okuthile, nokho, ama-MLOps nawo ahluke kakhulu kuma-DevOps avamile.
I-MLOps yengeza ungqimba olusha lobunkimbinkimbi ngokugxila kudatha, kuyilapho i-DevOps igxile kakhulu ekusebenzeni kwekhodi nokukhishwa kwesofthiwe engakwazi ukusho okuthile.
Inhlanganisela ye-ML, Idatha, kanye ne-Ops yiyona eyenza i-MLOps igama layo elivamile (ukufunda ngomshini, ubunjiniyela bedatha, kanye ne-DevOps).
2. Bahluka kanjani ososayensi bedatha, onjiniyela bedatha, nonjiniyela be-ML?
Kuyahlukahluka, ngombono wami, kuye ngokuthi inkampani. Imvelo yokuthutha nokuguqulwa kwedatha, kanye nokugcinwa kwayo, kwakhiwe onjiniyela bedatha.
Ososayensi bedatha bangochwepheshe ekusebenziseni amasu esayensi nezibalo ukuze bahlaziye idatha futhi bafinyelele iziphetho, okuhlanganisa ukwenza izibikezelo mayelana nokuziphatha kwesikhathi esizayo ngokusekelwe kumathrendi akhona manje.
Onjiniyela bezinhlelo zokusebenza bebefunda ukusebenza nokuphatha ingqalasizinda yokusatshalaliswa eminyakeni embalwa edlule. Amaqembu e-Ops, ngakolunye uhlangothi, abefunda intuthuko ngenkathi esebenzisa ingqalasizinda njengekhodi. Indawo ye-DevOps ikhiqizwe yilokhu kusakazwa okubili.
Ama-MLOps asesigabeni esifanayo neso Idatha Sosayensi kanye Nonjiniyela Wedatha. Onjiniyela bedatha bathola ulwazi mayelana nengqalasizinda edingekayo ukuze kusekelwe amamodeli omjikelezo wempilo nokudala amapayipi okuqeqeshwa okuqhubekayo.
Ososayensi bedatha bafuna ukuthuthukisa imodeli yabo yokusebenzisa kanye namakhono okushaya amagoli.
Iphayiphi ledatha yebanga lokukhiqiza lakhiwa onjiniyela be-ML abasebenzisa ingqalasizinda eguqula idatha eluhlaza ibe okokufaka okudingwa imodeli yesayensi yedatha, ibamba futhi iqhube imodeli, futhi ikhiphe idathasethi enamaphuzu kumasistimu aphansi komfula.
Bobabili onjiniyela bedatha nososayensi bedatha bayakwazi ukuba onjiniyela be-ML.
3. Yini ehlukanisa ama-MLOps ku-ModelOps kanye ne-AIOps?
Lapho wakha kusukela ekupheleni umshini wokufunda ama-algorithms, i-MLOps iwuhlelo lokusebenza lwe-DevOps oluhlanganisa ukuqoqwa kwedatha, ukucutshungulwa kwangaphambili kwedatha, ukudalwa kwemodeli, ukusetshenziswa kwemodeli ekukhiqizeni, ukuqapha amamodeli ekukhiqizeni, nokuthuthukiswa kwemodeli ngezikhathi ezithile.
Ukusetshenziswa kwe-DevOps ekuphatheni konke ukusetshenziswa kwanoma yimaphi ama-algorithms, njengamamodeli Asekelwe Kumthetho, kwaziwa ngokuthi i-ModelOps.
Ama-AIOps isebenzisa izimiso ze-DevOps ukudala izinhlelo zokusebenza ze-AI kusukela ekuqaleni.
4. Ungangitshela ezinye zezinzuzo zama-MLOps?
- Ososayensi bedatha nabathuthukisi be-MLOps bangaphinda benze izivivinyo ngokushesha ukuze baqinisekise ukuthi amamodeli aqeqeshwa futhi ahlolwa ngokufanelekile njengoba ama-MLOps esiza ukwenza ngokuzenzakalelayo yonke noma iningi lemisebenzi/izinyathelo ku-MDLC (umjikelezo wokuphila wokuthuthukiswa kwemodeli). Ukwengeza izimvume idatha kanye nenguqulo yemodeli.
- Ukwenza imibono ye-MLOps isebenze kuvumela Onjiniyela Bedatha Nososayensi Bedatha ukuba babe nokufinyelela okungavinjelwe kumadathasethi atshaliwe futhi akhethiwe, okusheshisa kakhulu ukuthuthukiswa kwamamodeli.
- Ososayensi bedatha bazokwazi ukubuyela kumodeli esebenze kangcono uma ukuphindaphinda kwamanje kungafinyeleli kulokho okulindelekile ngenxa yekhono lokuba namamodeli namasethi edatha ahunyushwe, okuzothuthukisa kakhulu umkhondo wokuhlolwa kwemodeli.
- Njengoba izindlela ze-MLOps zithembele kakhulu ku-DevOps, ziphinde zihlanganise nenani lemiqondo ye-CI/CD, ethuthukisa ikhwalithi nokwethembeka kwekhodi.
5. Ungangitshela izingxenye ze-MLOps?
Design: Ama-MLOps ahlanganisa kakhulu ukucabanga komklamo. Ukuqala ngemvelo yenkinga, ukuhlola okucatshangwayo, ukwakheka, nokusetshenziswa
Isakhiwo samamodeli: Ukuhlolwa kwemodeli nokuqinisekisa kuyingxenye yalesi sinyathelo, kanye namapayipi wobunjiniyela bedatha nokuhlola ukusetha amasistimu okufunda omshini angcono kakhulu.
Operations: Imodeli kufanele isetshenziswe njengengxenye yemisebenzi futhi ihlale ibhekwa futhi ihlolwe. Izinqubo ze-CI/CD zibe sezigadwa futhi ziqalwe kusetshenziswa ithuluzi lokucula.
6. Yiziphi izingozi eziza nokusebenzisa isayensi yedatha?
- Kunzima ukukala imodeli kuyo yonke inkampani.
- Ngaphandle kwesixwayiso, imodeli iyacisha futhi iyeke ukusebenza.
- Ikakhulukazi, ukunemba kwamamodeli kuba kubi kakhulu ngokuhamba kwesikhathi.
- Imodeli yenza izibikezelo ezinganembile ngokusekelwe ekuqapheliseni okuthile okungeke kuphinde kuhlolwe.
- Ososayensi bedatha kufanele futhi bagcine amamodeli, kepha ayabiza.
- Ama-MLOps angasetshenziswa ukunciphisa lezi zingozi.
7. Ungakwazi yini ukuchaza, yini imodeli drift?
Uma ukusebenza kwesigaba sokubikezela kwemodeli (kusetshenziswa idatha yomhlaba wangempela) kwehla kusukela ekusebenzeni kwayo kwesigaba sokuqeqesha, lokhu kwaziwa ngokuthi imodeli drift, okubuye kwaziwe ngokuthi i- idea drift (kusetshenziswa idatha yomlando, enelebula).
Ukusebenza kwemodeli kuhlanekezelwe uma kuqhathaniswa nezigaba zokuqeqesha nezokuhlinzeka, yingakho igama elithi “train/serve skew.”
Izinto eziningi, ezihlanganisa:
- Indlela eyisisekelo idatha esatshalaliswa ngayo ishintshile.
- Ukuqeqeshwa kwakugxile enanini elincane lezigaba, nokho, ukushintsha kwezemvelo okusanda kwenzeka kwengeza enye indawo.
- Ebunzimeni be-NLP, idatha yomhlaba wangempela inenani elikhulu ngokungenakulinganiswa lamathokheni ezinombolo kunedatha yokuqeqeshwa.
- Izehlakalo ezingalindelekile, njengemodeli eyakhelwe kudatha yangaphambi kwe-COVID okubikezelwa ukuthi izoba yimbi kakhulu kudatha eqoqwe phakathi nobhadane lwe-COVID-19.
Ukuqapha ngokuqhubekayo ukusebenza kwemodeli kuhlala kudingekile ukuze uhlonze ukukhukhuleka kwemodeli.
Ukuqeqeshwa kabusha kwemodeli cishe kudingekile njalo njengekhambi lapho kunokwehla okuqhubekayo ekusebenzeni kwemodeli; isizathu sokwehla kufanele sikhonjwe futhi kusetshenziswe izinqubo zokwelashwa ezifanele.
8. Zingaki izindlela ezehlukene ezingasetshenziswa ama-MLOps, ngokubona kwakho?
Kunezindlela ezintathu zokwenza ama-MLOps asebenze:
Ileveli 0 ye-MLOps (Inqubo Yemathupha): Kuleli zinga, zonke izinyathelo—okuhlanganisa ukulungiswa kwedatha, ukuhlaziya, nokuqeqeshwa—kwenziwa mathupha. Isigaba ngasinye kumele senziwe mathupha, kanye nokusuka kwesinye kuya kwesinye.
Isisekelo esiyisisekelo ukuthi ithimba lakho lesayensi yedatha liphatha kuphela inani elincane lamamodeli angabuyekezwa njalo.
Ngenxa yalokho, akukho Ukudidiyelwa Okuqhubekayo (CI) noma Ukuthunyelwa Okuqhubekayo (CD), futhi ukuhlola ikhodi kuvamise ukuhlanganiswa ekwenziweni kweskripthi noma ekusebenziseni incwadi yamanothi, futhi ukuthunyelwa kwenzeka kusevisi encane ene- I-REST API.
Ileveli 1 ye-MLOps (ukuzenzakalela kwepayipi le-ML): Ngokuzenzakalela inqubo ye-ML, inhloso wukuqeqesha ngokuqhubekayo imodeli (CT). Ungakwazi ukufeza ukulethwa kwesevisi yokubikezela okuqhubekayo ngale ndlela.
Ukuthunyelwa kwethu kwepayipi lonke lokuqeqesha kuqinisekisa ukuthi imodeli iqeqeshwa ngokuzenzakalelayo ekukhiqizeni kusetshenziswa idatha entsha esekelwe kuzibangeli zamapayipi asebenzayo.
Ileveli 2 ye-MLOps (ukuzenzakalela kwepayipi le-CI/CD): Ihamba isinyathelo esisodwa ngaphezu kwezinga le-MLOps. Kudingeka uhlelo oluqinile oluzenzakalelayo lwe-CI/CD uma ufuna ukubuyekeza amapayipi ekukhiqizeni ngokushesha nangokuthembekile:
- Udala ikhodi yomthombo futhi wenze izivivinyo eziningi kusiteji se-CI. Amaphakheji, okusebenzisekayo, nama-artifacts yimiphumela yesiteji, ezosetshenziswa ngokuhamba kwesikhathi.
- Ama-artifact adalwe yisiteji se-CI athunyelwa endaweni okuhloswe ngayo ngesikhathi sesinyathelo se-CD. Ipayipi elisetshenzisiwe elinomodeli obuyekeziwe osetshenziswayo uwumphumela wesiteji.
- Ngaphambi kokuthi ipayipi liqale impinda entsha yokuhlolwa, ososayensi bedatha kusafanele benze idatha nesigaba sokuhlaziya imodeli mathupha.
9. Yini ehlukanisa ukuthunyelwa okumile ekusetshenzisweni okuguquguqukayo?
Imodeli iqeqeshelwe ungaxhunyiwe ku-inthanethi Ukuthunyelwa Okumile. Ngamanye amazwi, siqeqesha imodeli kanye kanye bese siyisebenzisa isikhathi esithile. Ngemuva kokuthi imodeli isiqeqeshwe endaweni, iyagcinwa futhi ithunyelwe kuseva ukuze isetshenziselwe ukukhiqiza izibikezelo zesikhathi sangempela.
Imodeli ibe isisatshalaliswa njengesofthiwe yohlelo lokusebenza efakekayo. uhlelo oluvumela ukutholwa kwenqwaba yezicelo, njengomfanekiso.
Imodeli iqeqeshelwe ku-inthanethi Ukuthunyelwa Okunamandla. Okusho ukuthi, idatha entsha ihlale yengezwa ohlelweni, futhi imodeli ibuyekezwa ngokuqhubekayo ukuze iphendule ngayo.
Njengomphumela, ungenza izibikezelo usebenzisa iseva ngokufunwa. Ngemuva kwalokho, imodeli isetshenziswa ngokuhlinzekwa njengendawo yokugcina ye-API ephendula imibuzo yabasebenzisi, kusetshenziswa uhlaka lwewebhu olufana I-Flask noma i-FastAPI.
10. Yiziphi izindlela zokuhlola ukukhiqiza owaziyo ngazo?
Ukuhlolwa kwenqwaba: Ngokwenza ukuhlola esimweni esihlukile kuleso sendawo yokuqeqeshwa, iqinisekisa imodeli. Kusetshenziswa amamethrikhi okuzikhethela, njengokunemba, i-RMSE, njll., ukuhlolwa kwenqwaba kwenziwa eqenjini lamasampula edatha ukuze kuqinisekiswe ukuchazwa kwemodeli.
Ukuhlolwa kwenqwaba kungenziwa ezinkundleni zokuxhumana ezihlukene, njengeseva yokuhlola, iseva ekude, noma ifu. Ngokuvamile, imodeli inikezwa njengefayela le-serialized, elilayishwa njengento futhi lithathwe kudatha yokuhlola.
A / B ukuhlolwa: Ivame ukusetshenziselwa ukuhlaziya imikhankaso yokumaketha kanye nokwakhiwa kwezinsizakalo (amawebhusayithi, izinhlelo zokusebenza zeselula, njll.).
Ngokusekelwe enkampanini noma emisebenzini, izindlela zezibalo zisetshenziselwa ukuhlaziya imiphumela yokuhlolwa kwe-A/B ukuze kunqunywe ukuthi iyiphi imodeli ezokwenza kangcono ekukhiqizeni. Ngokuvamile, ukuhlolwa kwe-A/B kwenziwa ngale ndlela elandelayo:
- Idatha ebukhoma noma yesikhathi sangempela ihlukaniswe noma ihlukaniswe yaba amasethi amabili, Isethi A kanye ne-Setha B.
- Idatha ye-Setha A ithunyelwa kumodeli ephelelwe yisikhathi, kuyilapho idatha ye-Set B ithunyelwa kumodeli ebuyekeziwe.
- Kuye ngesimo sokusetshenziswa kwebhizinisi noma izinqubo, izindlela ezimbalwa zezibalo zingasetshenziswa ukuhlola ukusebenza kwemodeli (isibonelo, ukunemba, ukunemba, njll.) ukuze kunqunywe ukuthi imodeli entsha (imodeli B) idlula imodeli endala (imodeli A).
- Bese senza ukuhlolwa kwezibalo ze-hypothesis: I-null hypothesis ithi imodeli entsha ayinamthelela enanini elimaphakathi lezinkomba zebhizinisi ezigadwayo. Ngokombono ohlukile, imodeli entsha inyusa inani elimaphakathi lezinkomba zebhizinisi lokuqapha.
- Okokugcina, siyahlola ukuthi ingabe imodeli entsha iphumela ekuthuthukisweni okuphawulekayo kwamanye ama-KPI ebhizinisi.
Ukuhlolwa kwesithunzi noma kwesiteji: Imodeli ihlolwa ngempinda yendawo yokukhiqiza ngaphambi kokuthi isetshenziswe ekukhiqizeni (indawo yesiteji).
Lokhu kubalulekile ekunqumeni ukusebenza kwemodeli ngedatha yesikhathi sangempela kanye nokuqinisekisa ukuqina kwemodeli. kwenziwa ngokunikeza idatha efanayo njengepayipi lokukhiqiza nokuletha igatsha elithuthukisiwe noma imodeli ezohlolwa kuseva yesiteji.
Okuwukuphela kwempendulo ukuthi azikho izinqumo zebhizinisi ezizokwenziwa kuseva yesiteji noma ezibonakala kubasebenzisi bokugcina ngenxa yegatsha lokuthuthukisa.
Ukuqina nokusebenza kwemodeli kuzohlolwa ngezibalo kusetshenziswa imiphumela yendawo yesiteji kusetshenziswa amamethrikhi afanelekile.
11. Yini ehlukanisa ukucubungula kokusakaza nokucutshungulwa kweqoqo?
Singakhohlisa izici esizisebenzisela ukukhiqiza izibikezelo zethu zesikhathi sangempela sisebenzisa izindlela ezimbili zokucubungula: inqwaba nokusakaza.
Inqubo yeqoqo izici ezisuka endaweni yangaphambilini yento ethile, ebese isetshenziselwa ukukhiqiza izibikezelo zesikhathi sangempela.
- Lapha, siyakwazi ukwenza izibalo ezijulile zesici singaxhunyiwe ku-inthanethi futhi sibe nedatha elungiselelwe ukuchazwa ngokushesha.
- Izici, nokho, iminyaka kusukela zanqunywa ngaphambili. Lokhu kungase kube inselele enkulu uma ukubikezela kwakho kusekelwe ezehlakalweni zakamuva. (Isibonelo, ukuhlonza okwenziwayo okuwumgunyathi ngokushesha ngangokunokwenzeka.)
Njengoba kuseduze nesikhathi sangempela, izici zokusakaza-bukhoma zebhizinisi elithile, okucatshangelwayo kwenziwa ekucubungulweni kokusakaza kusethi ethile yokokufaka.
- Lapha, ngokunikeza imodeli isikhathi sangempela, izici zokusakaza, singathola izibikezelo ezinembe kakhudlwana.
- Kodwa-ke, ingqalasizinda eyengeziwe iyadingeka ukuze kucutshungulwe ukusakaza nokugcina ukusakazwa kwedatha (i-Kafka, i-Kinesis, njll). (I-Apache Flink, Beam, njll.)
12. Usho ukuthini uma uthi Training Serving Skew?
Umehluko phakathi kokusebenza lapho usebenza nokusebenza ngesikhathi sokuqeqeshwa waziwa ngokuthi i-skew yokuqeqesha. Lesi sici singabangelwa yizici ezilandelayo:
- Umehluko endleleni ophatha ngayo idatha phakathi kwamapayipi wokuphakelwa nokuqeqeshwa.
- Ukushintsha kwedatha kusuka ekuqeqeshweni kwakho kuya kusevisi yakho.
- Isiteshi sempendulo phakathi kwe-algorithm yakho nemodeli.
13. Usho ukuthini ngeRegistry Model?
I-Model Registry iyinqolobane emaphakathi lapho abadali bamamodeli bengashicilela khona amamodeli alungele ukusetshenziswa ekukhiqizeni.
Onjiniyela bangahlanganyela namanye amathimba nababambiqhaza ukuze baphathe ubude bempilo yawo wonke amamodeli ngaphakathi kwebhizinisi besebenzisa ukubhaliswa. Amamodeli aqeqeshiwe angalayishwa kurejista yamamodeli ngusosayensi wedatha.
Amamodeli alungiselwe ukuhlolwa, ukuqinisekiswa, kanye nokuthunyelwa ekukhiqizweni uma esekurejista. Ukwengeza, amamodeli aqeqeshiwe agcinwa kumamodeli okubhaliswa ukuze afinyeleleke ngokushesha nganoma yiluphi uhlelo lokusebenza oluhlanganisiwe noma isevisi.
Ukuze uhlole, uhlole, futhi usebenzise imodeli ekukhiqizeni, abathuthukisi be-software futhi ababuyekezi bangabona ngokushesha futhi bakhethe inguqulo engcono kakhulu yamamodeli aqeqeshiwe (ngokusekelwe kumbandela wokuhlola).
14. Ungakwazi ukuchaza kabanzi ngezinzuzo ze-Model Registry?
Okulandelayo ezinye zezindlela ukubhaliswa kwemodeli kuqondisa ukuphathwa komjikelezo wempilo:
- Ukuze wenze ukusetshenziswa kube lula, londoloza izimfuneko zesikhathi sokusebenza kanye nemethadatha yamamodeli akho aqeqeshiwe.
- Amamodeli akho aqeqeshiwe, asetshenzisiwe, futhi asethathe umhlalaphansi kufanele abhaliswe, alandelelwe, futhi ahunyushwe endaweni eyodwa, indawo yokugcina eseshekayo.
- Dala amapayipi azenzakalelayo avumela ukulethwa okuqhubekayo, ukuqeqeshwa, nokuhlanganiswa kwemodeli yakho yokukhiqiza.
- Qhathanisa amamodeli asanda kuqeqeshwa (noma amamodeli abaphikisi) endaweni yesiteji namamodeli asebenza ekukhiqizeni okwamanje (amamodeli angompetha).
15. Ungakwazi yini ukuchaza ukuthi i-Champion-Challenger iyasebenza?
Kungenzeka ukuhlola izinqumo ezihlukahlukene zokusebenza ekukhiqizeni usebenzisa inqubo ye-Champion Challenger. Cishe uzwile ngokuhlolwa kwe-A/B kumongo wokumaketha.
Isibonelo, ungase ubhale imigqa yezihloko ezimbili ezihlukene futhi usabalalise ngokungahleliwe endaweni yakho eqondiwe ukuze ukwandise isilinganiso esivulekile somkhankaso we-imeyili.
Uhlelo lubhala ukusebenza kwe-imeyili (okungukuthi, isenzo sokuvula i-imeyili) ngokuhlobene nesihloko sayo, okukuvumela ukuthi uqhathanise isilinganiso esivulekile somugqa wesihloko ngamunye ukuze unqume ukuthi iyiphi esebenza kahle kakhulu.
I-Champion-Challenger iqhathaniswa nokuhlolwa kwe-A/B kulokhu. Ungasebenzisa ingqondo yesinqumo ukuze uhlole umphumela ngamunye bese ukhetha osebenza kahle kakhulu njengoba uzama izindlela ezihlukahlukene ukuze ukhethe.
Imodeli ephumelela kakhulu ihlobana nompetha. Umbangi wokuqala kanye nohlu oluhambisanayo lwabaphonselwa inselelo yikhona kuphela okukhona esigabeni sokuqala sokubulawa esikhundleni sikampetha.
Umpetha ukhethwa yisistimu ukuze kuqhutshekwe nezinyathelo zokwenza umsebenzi.
Abaphikisayo baqhathaniswa bodwa. Umpetha omusha ube esenqunywa wumbangi okhiqiza imiphumela emihle kakhulu.
Imisebenzi ebandakanyekayo enqubweni yokuqhathanisa umpetha nenselele ibhalwe ngezansi ngokuningiliziwe:
- Ukulinganisa imodeli ngayinye eyimbangi.
- Ukuhlola amaphuzu okugcina.
- Ukuqhathanisa imiphumela yokuhlola ukuze kutholakale umphikisi onqobile.
- Ingeza umpetha omusha kungobo yomlando
16. Chaza izinhlelo zokusebenza ezingeni lebhizinisi ze-MLOps lifecycle?
Kudingeka siyeke ukucabangela ukufunda komshini njengokuhlola okuphindaphindwayo kuphela ukuze amamodeli okufunda omshini angene emkhiqizweni. I-MLOps inyunyana yobunjiniyela besofthiwe ngokufunda komshini.
Umphumela ophelile kufanele ucatshangwe kanjalo. Ngakho-ke, ikhodi yomkhiqizo wezobuchwepheshe kufanele ihlolwe, isebenze, futhi ibe yimodyuli.
Ama-MLOps anesikhathi sokuphila esingaqhathaniswa nokugeleza kokufunda komshini okuvamile, ngaphandle kokuthi imodeli igcinwa kunqubo kuze kube ukukhiqizwa.
Onjiniyela be-MLOps babe sebebheka lokhu ukuze baqiniseke ukuthi ikhwalithi yemodeli ekukhiqizeni yilokho okuhlosiwe.
Nazi ezinye izimo zokusebenzisa ubuchwepheshe obuningana be-MLOps:
- Ama-Model Registries: Yilokho okubonakala kuyikho. Amaqembu amakhulu agcina futhi alandelele amamodeli enguqulo kumamodeli okubhaliswa. Ngisho nokubuyela enguqulweni yangaphambili kuyinketho.
- Isitolo Sesici: Uma usebenzisana namasethi edatha amakhulu, kungase kube nezinguqulo ezihlukile zamasethi edatha okuhlaziya namasethi angaphansi wemisebenzi ethile. Isitolo sesici siyindlela ephambili, emnandi yokusebenzisa umsebenzi wokulungiselela idatha kusuka ekuqaliseni kwangaphambilini noma kwamanye amaqembu.
- Izitolo Zemethadatha: Kubalulekile ukuqapha imethadatha ngendlela efanele kukho konke ukukhiqizwa uma idatha engahlelekile, njengesithombe nedatha yombhalo, izosetshenziswa ngempumelelo.
Isiphetho
Kubalulekile ukukhumbula ukuthi, ezikhathini eziningi, oxoxisana naye ufuna uhlelo, kuyilapho ikhandidethi efuna isixazululo.
Esokuqala sincike ekhonweni lakho lobuchwepheshe, kanti okwesibili simayelana nendlela oyisebenzisayo ukukhombisa ikhono lakho.
Kunezinqubo ezimbalwa okufanele uzithathe lapho uphendula imibuzo yenhlolokhono ye-MLOps ukuze usize lowo obuza imibuzo aqonde kangcono ukuthi uhlose ukuyihlola kanjani futhi ulungise inkinga ekhona.
Ukugxila kwabo kungaphezu kokusabela okungalungile kunokulungile. Isixazululo sixoxa indaba, futhi uhlelo lwakho luwumfanekiso ongcono kakhulu wolwazi lwakho namandla okuxhumana.
shiya impendulo