Imiyoboro yubuhanga iranga hamwe na Data verisiyo
Imiyoboro yubuhanga yihariye ihindura amakuru yibanze mubimenyetso byerekana imibare mubyukuri bigira, mugihe amakuru yerekana neza neza amakuru nimpinduka byatanze buri cyitegererezo.
Incamake
Together they make machine learning reproducible, auditable, and safe to change.
Kwibira cyane
Umuyoboro wubwubatsi ni urunigi rwintambwe zihindura ibyinjira byinjira nabi (ibiti, ingengabihe, inyandiko, ibikorwa) mubintu bisukuye urugero rushobora gukoresha: kugereranya amatariki kumunsi-wicyumweru, guhuza imibare, ibyiciro bishyushye kimwe, gukusanya amateka yabakoresha mukuzenguruka. Imiyoboro yanditswe nka code kuburyo ikora kimwe mugihe cyamahugurwa no mubikorwa. Ibyatanzwe byerekana amakuru yerekana imibare ya datasets hamwe na code nyayo yo guhindura yabubatse, mubisanzwe binyuze mumashanyarazi. Ibikoresho nka DVC, LakeFS, hamwe nububiko bwibiranga nkumunsi mukuru cyangwa Tecton ubika izi verisiyo. Kwishura: mugihe icyitegererezo kititwaye neza, urashobora gutondekanya verisiyo yamakuru hamwe nibiranga logique yabyaye umusaruro, kubyara ibisubizo bito-kuri-bito, hanyuma ugasubira inyuma wizeye.
Ubushishozi
Guhindura mubisanzwe bihindura dataset yibirimo (ntabwo ari amazina ya fayili gusa) bityo amakuru amwe amwe kandi impinduka zose zitanga indangamuntu nshya idahinduka. Imiyoboro igaragazwa nkibishushanyo mbonera bya acyclic (DAGs) byintambwe zo guhinduka; igikoresho kigenda DAG, igenzura inyongeramusaruro zahinduwe binyuze mumashanyarazi yabo, kandi ikongera ikora ibyiciro byibasiwe gusa. Imirongo metadata ihuza buri kintu cyagaciro gisubira kumurongo winkomoko, verisiyo yo guhindura, hamwe na timestamp, ituma imyororokere nubugenzuzi.
Ingaruka z'Ingamba
Igiciro na bije
Ibyemezo byubwubatsi bitwara imikorere nigiciro cyimikorere kumyaka.
Ibyemezo bisobanutse
Ubuhanga bwa tekinike bufasha amakipe guhitamo umurongo ukwiye, ntabwo ari shyashya gusa.
Kugenzura ubuziranenge
Guhitamo neza bya injeniyeri bigabanya ibintu byizewe mubikorwa.
Ejo hazaza h'imiyoboro yubuhanga hamwe na Data verisiyo
Tegereza guhuza ububiko bwibintu biranga, verisiyo yamakuru, hamwe niyandikwa ryicyitegererezo mubikorwa bya MLOps bihujwe aho buri guhanura gukurikiranira hafi amakuru-yongeyeho-kode y'intoki. Ibisobanuro biranga ibisobanuro, byikora-mugihe-cyo gukosora, no guhuza namasezerano yamakuru bizagabanya kode yintoki. Mugihe amabwiriza agenga ubugenzuzi bwa AI agenda yiyongera, ibisekuru bidahinduka bizahinduka ibisabwa, kandi imiyoboro minini yicyitegererezo yindimi izakoresha verisiyo isa nibisabwa, gushiramo, hamwe na corpora yo kugarura.
Gushyira mu bikorwa Isi
Banki ihindura uburyo bwayo bwo kwerekana uburiganya kugirango abagenzuzi bashobore kubyara ibicuruzwa byakoreshejwe nyuma y amezi make nyuma yicyemezo.
Itsinda rya e-ubucuruzi rikoresha umunsi mukuru kugirango ubare 'impuzandengo yumutungo ugereranije muminsi 30 ishize' rimwe hanyuma uyikore kumurimo wamahugurwa hamwe nibyifuzo bya API.
Umuhanga mu bumenyi akoresha DVC kugirango asubire kuri dataset yicyumweru gishize nyuma yo kuvumbura intambwe isanzwe ya buggy yangije ibintu bigezweho.
Itsinda ryita ku buzima ML ryerekana buri cyitegererezo cyo gusohora ibishushanyo mbonera byerekana inyandiko z’abarwayi kugirango byemeze ko ubushakashatsi bushobora kongera gukoreshwa kimwe kubashinzwe kugenzura.
Ingaruka & Kurinda
Gutezimbere igipimo kimwe gishobora guhisha intege nke za sisitemu.
Ibikorwa Remezo no kubungabunga akenshi usanga bidahabwa agaciro.
Icyuho cyumutekano no kwitegereza birashobora kwiyongera uko sisitemu igenda igorana.
Igishushanyo mbonera
Sobanura ubukererwe, ubuziranenge, nigiciro cyibiciro mbere yo kubishyira mubikorwa.
Ibipimo byerekana umutwaro ufatika hamwe namakuru yimiterere.
Gukurikirana ibikoresho kubikosa, drift, ningaruka zabakoresha.
Tegura inzira yo gusubiza ibyabaye mbere yo gupima.
Komeza Ubushakashatsi
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Ubuyobozi bukurikira
Ubwubatsi
Ibibazo bikunze kubazwa
What is Feature Engineering Pipelines and Data Versioning?
Imiyoboro yubuhanga yihariye ihindura amakuru yibanze mubimenyetso byerekana imibare mubyukuri bigira, mugihe amakuru yerekana neza neza amakuru nimpinduka byatanze buri cyitegererezo. Hamwe hamwe bakora imashini yiga imashini yororoka, yumvikana, kandi ifite umutekano kugirango uhinduke.
Niyihe ntego yibanze yumurongo wubwubatsi?
Umuyoboro wubwubatsi uranga urunigi rwimpinduka zimpinduka zihindura ibyinjira mbisi, byangiritse mubintu bisukuye byumubare icyitegererezo gishobora kwigiraho.
Ni ukubera iki ibikoresho byo guhindura amakuru akenshi hash ibiri muri dataset aho kuba izina ryayo gusa?
Gukaraba ibintu bisobanura amakuru amwe abona indangamuntu imwe (ituma kugabanuka) kandi ihinduka ryose ritanga indangamuntu nshya, byemeza kudahinduka no kubyara.
Umuyoboro uranga ubusanzwe ugaragazwa nkubwoko ki?
Imiyoboro yagereranijwe nka DAGs kugirango sisitemu ibashe kumenya isano iri hagati yintambwe hanyuma yongere ikore gusa ibyiciro byahinduwe.
Ni ikihe kibazo cyo guhindura amakuru gikemura cyane mugihe icyitegererezo cyoherejwe gitangiye kwitwara nabi?
Guhindura inyandiko zerekana dataset ifotora nizihe code yo guhindura yubatse icyitegererezo, urashobora rero kubyara ibisubizo hanyuma ugasubira muri leta izwi-nziza.
Niki muribi nigikoresho cyintangarugero gikoreshwa mububiko bwihariye cyangwa verisiyo yamakuru?
Umunsi mukuru na Tecton ni ububiko bwihariye, mugihe DVC na LakeFS nibikoresho byo kwerekana amakuru bikunze gukoreshwa mumiyoboro ya MLOps.