Okuthunyelwe kwethu namuhla kuzobhekana nomkhakha we Ukufunda Okuzenzakalelayo (Ukufunda Komshini / ML). Ngokuqondile ngohlelo lokusebenza lomthombo ovulekile olubizwa nge- "Ukugeleza", yona esebenza ku Kubernetes. Okuyinto, njengoba iningi lenu selivele niyazi, uhlelo lomthombo ovulekile lokusebenzisa ngokuzenzakalela ukuthunyelwa, ukukala nokusingathwa kwezinhlelo zokusebenza eziqukethe izinto ezifakiwe.
"Ukugeleza" yize okwamanje itholakala ngaphansi kwe- inguqulo ezinzile 1.2, njengoba ibonakala kuwebhusayithi yayo esemthethweni naku-GitHub, kwi-Blog yayo esemthethweni, isivele iphawuliwe nge inguqulo elandelayo 1.3. Kungakho namuhla, sizongena kulolu hlelo lokusebenza.
Futhi njengenjwayelo, kulabo abalangazelela ukungena esihlokweni esifundwayo, sizoshiya izixhumanisi ezilandelayo kokuthunyelwe kwangaphambilini okuhlobene ukuze ukuhlole uma lokhu okuthunyelwe sekuqediwe:
"I-Microsoft Cognitive Toolkit (phambilini ebibizwa nge-CNTK) iyithuluzi lamathuluzi lokufunda elijulile
(Machine Learning)
de«Código Abierto»
ngamandla amakhulu. Futhi kumahhala, kulula ukuyisebenzisa, kanye nekhwalithi yebanga lokuhweba ekuvumela ukuthi udale ama-algorithms wokufunda ajulile akwazi ukufunda ezingeni eliseduze nelobuchopho bomuntu." Ithuluzi Lokuqonda: Umthombo Ovulekile Wokufunda Okujulile SW
IKubeflow: Iphrojekthi Yokufunda Yomshini Ovulekile
Kuyini iKubeflow?
Ngokusho kwe- Iwebhusayithi esemthethweni, le phrojekthi evulekile ichazwa ngale ndlela elandelayo:
"Yiprojekthi enikezelwe ekwenzeni ukuthunyelwa kokuhamba kokusebenza komshini (ML) kokusebenza kumaKubernetes okulula, okuphathekayo, nokwesabekayo. Akuhloselwe ukwenza ezinye izinsizakalo kabusha, kepha ukuhlinzeka ngendlela elula yokuhambisa amasistimu wemithombo evulekile angcono kakhulu we-ML kuzingqalasizinda ezahlukahlukene. Ngakho-ke noma yikuphi lapho iBubernetes isebenza khona, iKubeflow ingasebenza."
Ngenkathi, kusayithi lakho ku GitHub, engeza kafushane okulandelayo:
"IKubeflow iyipulatifomu yomdabu esefu yokusebenza kwemishini yokufunda: amapayipi, ukuqeqeshwa nokuthunyelwa."
Kulokhu, kungabonakala kalula ukuthi, inhloso enkulu ye- "Ukugeleza" es:
"Yenza imodeli yokufunda (ML) yokulinganisa imishini nokuthunyelwa kube lula ngangokunokwenzeka, ngokuvumela amaKubernetes enze lokho akwaziyo ukukwenza: Ukuthunyelwa okulula, okuphindaphindekayo nokuphathekayo kwingqalasizinda ehlukahlukene, ukuthunyelwa kwemicroservices kanye nokuphathwa kuhlanganiswe ngokukhululekile futhi kukalwe ngokufunwayo."
Izici?
Phakathi kwezici eziphawulekayo ze- "Ukugeleza" singasho okulandelayo:
- Kufaka nezinsizakalo zokwakha nokuphatha izincwadi zokubhalela ze-Jupiter. Ukuvumela ukwenza ngezifiso ukuthunyelwa kwezinsizakusebenza ezifanayo nezinye zekhompyutha ukuzivumelanisa nezidingo zesayensi yedatha. Ngakho-ke, okwenza kube lula ukuzama ukugeleza komsebenzi kwasendaweni, bese ukuhambisa efwini lapho kudingeka.
- Inikeza opharetha womsebenzi wokuqeqeshwa kweTensorFlow. Okungasetshenziswa ukuqeqesha imodeli ye-ML. Ikakhulu, opharetha womsebenzi weKubeflow angaphatha imisebenzi yokuhanjiswa kweTensorFlow. Ukuvumela amandla ukumisa isilawuli sokuqeqesha ukuthi sisebenzise ama-CPU noma ama-GPU, futhi ngaleyo ndlela sivumelane nosayizi ohlukahlukene weqoqo.
- Isekela isitsha seTensorFlow Serving sokuthekelisa amamodeli weTensorFlow aqeqeshiwe eKubernetes. Ngokwengeziwe, iKubeflow ibuye ihlanganiswe neSeldon Core, ipulatifomu yomthombo ovulekile wokuhambisa amamodeli wokufunda womshini kumaKubernetes, kanye ne-NVIDIA Triton Inference Server ukukhulisa ukusetshenziswa kwe-GPU lapho kusetshenziswa amamodeli we-ML / DL esikalini.
- Kufaka ubuchwepheshe beKubeflow Pipelines. Okuyisixazululo esibanzi sokuphaka nokuphatha ukugeleza kokusebenza kokuphela kokuphela kwe-ML. Ukuvumela ukuhlolwa okusheshayo nokunokwethenjelwa, okusetshenziselwa ukuhlela nokuqhathanisa ukugijima, nokubuyekeza imibiko enemininingwane ekugijimeni ngakunye
- Inikeza isisekelo sezinhlaka eziningi. Njengoba, ngaphezu kokusebenza kahle kakhulu neTensorFlow, kungekudala izokwesekwa yiPyTorch, i-Apache MXNet, i-MPI, i-XGBoost, i-Chainer, nokuningi.
Imininingwane eminingi esesikhathini ku- "Ukugeleza" ingatholakala ngqo ku- Ibhulogi esemthethweni.
Yini amaKubernetes?
Kunikezwe, "Ukugeleza" isebenza ku "Kubernetes", kufanelekile ukucacisa ngokusho kwakho Iwebhusayithi esemthethweni ukuthi lokhu okulandelayo kungokulandelayo:
"I-Kubernetes (i-K8s) iyipulatifomu yomthombo ovulekile wokusebenzisa ngokuzenzakalela ukuthunyelwa, ukukala, kanye nokuphathwa kwezinhlelo zokusebenza eziqukethe izinto ezifakiwe."
Futhi uma kwenzeka, ufisa ukujula "Kubernetes" Ungahlola ukushicilelwa kwethu kwangaphambilini nokwakamuva okuhlobene ngezansi:
Isiphetho
Siyethemba lokhu "okuthunyelwe okuwusizo okuncane" cishe «Kubeflow»
, iphrojekthi yomthombo ovulekile ethokozisayo futhi yesimanje emkhakheni wokufunda okujulile, okwenziwe ukwandisa ukufinyelela kwepulatifomu yomthombo ovulekile «Kubernetes »; inentshisekelo enkulu futhi iyasiza, kuyo yonke «Comunidad de Software Libre y Código Abierto»
kanye negalelo elikhulu ekusabalalisweni kwemvelo emangalisayo, enkulu futhi ekhulayo yezicelo ze «GNU/Linux»
.
Okwamanje, uma ukuthandile lokhu publicación
, Ungami yabelana ngayo nabanye, kumawebhusayithi wakho owathandayo, iziteshi, amaqembu noma imiphakathi yokuxhumana nabantu noma amasistimu wokuthumela imiyalezo, okungcono mahhala, okuvulekile kanye / noma okuphephe kakhulu njenge yocingo, Isignali, I-mastodon noma enye ye- I-Fediverse, okungcono.
Futhi khumbula ukuvakashela ikhasi lethu lasekhaya ku- «DesdeLinux» ukuhlola izindaba eziningi, kanye nokujoyina isiteshi sethu esisemthethweni se- I-Telegram ye DesdeLinux. Ngenkathi, ukuthola eminye imininingwane, ungavakashela noma yikuphi Umtapo wolwazi oku-inthanethi njengoba I-OpenLibra y I-JedIT, ukufinyelela nokufunda izincwadi zedijithali (ama-PDF) ngalesi sihloko noma ezinye.