Uhlolojikelele
I-Kubeflow iyikhithi yamathuluzi yomthombo ovulekile esebenzisa ukugeleza komsebenzi wokufunda komshini ku-Kubernetes, eguqula ukuqeqeshwa kwemodeli nokuthunyelwa kube amapayipi angaphinda akhiqizeke, afakwe esitsheni. Kubalulekile ngoba ivumela amaqembu ukuthi alinganise i-ML ngendlela efanayo enza ngayo isoftware yamafu yesimanje.
I-Kubeflow ne-ML Pipeline Orchestration iyibhulokhi yokwakha yobuchwepheshe ethinta ikhwalithi yemodeli, izindleko zengqalasizinda, ukubambezeleka, nokuthembeka esikalini.
I-Deep Dive
I-Kubeflow iqale ku-Google njengendlela yokusebenzisa i-TensorFlow ku-Kubernetes, yase ikhula yaba inkundla ebanzi. Umbono wayo oyinhloko ukuthi isinyathelo ngasinye sokugeleza komsebenzi kwe-ML njengokulungiselela idatha, ukuqeqeshwa, ukuhlola, nokuphakela kusebenza njengengxenye efakwe esitsheni ngaphakathi kwe-Kubernetes pod. I-Kubeflow Pipelines (KFP) ikuvumela ukuthi uveze lezi zinyathelo njengegrafu ye-acyclic eqondisiwe (DAG): inodi ngayinye iyisitsha esiziqukayo, futhi imiphetho ichaza ukuncika kwedatha. Ngenxa yokuthi u-Kubernetes uphatha ukuhlela, ukukala, nokwabiwa kwezinsiza, ipayipi lingacela ama-GPU ukuqeqeshwa futhi liwakhulule ngemva kwalokho. Ezinye izakhi zifaka i-Katib yokushuna kwe-hyperparameter, i-KServe yokuphakela imodeli, namaseva e-notebook. Inkokhelo ukuphindaphindeka, ukuphatheka phakathi kwamafu, kanye nekhono lokukala izinyathelo ngazinye ngokuzimela.
I-Technical Insight
Ipayipi le-Kubeflow lihlanganisa i-Python DSL ibe i-Argo Workflows YAML spec. Ingxenye ngayinye iba isiqukathi esifunda okokufaka futhi sibhale okuphumayo njengama-artifact, adlule phakathi kwezinyathelo ngesitolo sezinto okwabelwana ngazo njenge-MiniO noma i-S3. I-Kubernetes ihlela i-pod ngayinye, inamathisela izinsiza ze-GPU noma ze-CPU ngokwesicelo sengxenye ngayinye. Indiza yokulawula igcina inqolobane yezinyathelo eziphumayo, ngakho-ke izinyathelo ezingashintshiwe ziyeqiwa ekuphindaphindweni, konga ikhompuyutha nokwenza ama-DAG amakhulu asebenze kahle.
I-Mastering Kubeflow ne-ML Pipeline Orchestration
I-Kubeflow iyikhithi yamathuluzi yomthombo ovulekile esebenzisa ukugeleza komsebenzi wokufunda komshini ku-Kubernetes, eguqula ukuqeqeshwa kwemodeli nokuthunyelwa kube amapayipi angaphinda akhiqizeke, afakwe esitsheni. Kubalulekile ngoba ivumela amaqembu ukuthi alinganise i-ML ngendlela efanayo enza ngayo isoftware yamafu yesimanje. I-Kubeflow ne-ML Pipeline Orchestration iyibhulokhi yokwakha yobuchwepheshe ethinta ikhwalithi yemodeli, izindleko zengqalasizinda, ukubambezeleka, nokuthembeka esikalini. Ukuze wakhe ukuqonda okujulile, phatha i-Kubeflow ne-ML Pipeline Orchestration njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela oyifunayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-Kubeflow ne-ML Pipeline Orchestration athuthukisa 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
Umthengisi uhlela ipayipi lasebusuku le-Kubeflow elingenisa idatha yokuthengisa, aqeqeshe kabusha imodeli yokubikezela isidingo, futhi aliphushele ku-KServe ukuze athole incazelo.
Ilebhu yocwaningo isebenzisa i-Katib ukuze iqhube amakhulukhulu ezivivinyo ze-hyperparameter ezihambisanayo kuqoqo le-GPU, ikhetha ngokuzenzakalelayo ukulungiselelwa okungcono kakhulu.
Ibhange lakha ipayipi eliphinda likhiqizeke lokuthola ukukhwabanisa lapho ukuhlolwa ngakunye kokuthobelana kungase kuqalise kabusha izinyathelo zokuqeqesha ezisuka kuma-artifact enqolobane.
Isiqalisi sisebenzisa amaseva e-notebook ku-Kubeflow ukuze amamodeli esibonelo ososayensi bedatha athweswe iziqu ngokuqondile emigqeni yokukhiqiza ngaphandle kwekhodi yokubhala kabusha.
Amaphethini Okusebenzisa
I-Kubeflow kanye ne-ML Pipeline Orchestration isebenza
Umthengisi uhlela ipayipi lasebusuku le-Kubeflow elingenisa idatha yokuthengisa, aqeqeshe kabusha imodeli yokubikezela isidingo, futhi aliphushele ku-KServe ukuze athole incazelo.
Umthengisi uhlela ipayipi lasebusuku le-Kubeflow elingenisa idatha yokuthengisa, aqeqeshe kabusha imodeli yokubikezela isidingo, futhi aliphushele ku-KServe ukuze Amaqembu acabangayo avame ukuthola imiphumela engcono uma echaza imikhawulo yekhwalithi ngaphambili, agcine indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Kubeflow kanye ne-ML Pipeline Orchestration isebenza
Ilebhu yocwaningo isebenzisa i-Katib ukuze iqhube amakhulukhulu ezivivinyo ze-hyperparameter ezihambisanayo kuqoqo le-GPU, ikhetha ngokuzenzakalelayo ukulungiselelwa okungcono kakhulu.
Ilebhu yocwaningo isebenzisa i-Katib ukuze iqhube amakhulukhulu ezinhlolo ze-hyperparameter ezihambisanayo kuqoqo le-GPU, ikhetha ngokuzenzakalelayo Amaqembu okumisa angcono kakhulu ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, agcine indlela yokukhuphuka komuntu ngamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Kubeflow kanye ne-ML Pipeline Orchestration isebenza
Ibhange lakha ipayipi eliphinda likhiqizeke lokuthola ukukhwabanisa lapho ukuhlolwa ngakunye kokuthobelana kungase kuqalise kabusha izinyathelo zokuqeqesha ezisuka kuma-artifact enqolobane.
Ibhange lakha ipayipi elikhiqizeka kabusha lokuthola ukukhwabanisa lapho ukuhlolwa ngakunye kokuthobela kungaqalisa kabusha izinyathelo zokuqeqesha ezinembile ezivela ezintweni zobuciko ezigcinwe kunqolobane Amathimba ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka kwabantu ezimweni ezibucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Kubeflow kanye ne-ML Pipeline Orchestration isebenza
Isiqalisi sisebenzisa amaseva e-notebook ku-Kubeflow ukuze amamodeli esibonelo ososayensi bedatha athweswe iziqu ngokuqondile emigqeni yokukhiqiza ngaphandle kwekhodi yokubhala kabusha.
Isiqalisi sisebenzisa amaseva e-notebook ku-Kubeflow ukuze ososayensi bedatha abayisibonelo samamodeli aphumelela ngokuqondile emigqeni yokukhiqiza ngaphandle kokubhala kabusha ikhodi Amathimba ngokuvamile athola imiphumela engcono uma echaza imikhawulo yekhwalithi 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.