K- Dëkkandoo yi gëna jege
K-Dëkkandoo yi gëna jege (KNN) dafay xaaj poñ done yu bees ci xool misaal yi gëna jege ci K ba noppi jël wote yu ëpp.
Résumé
It matters as one of the simplest, most intuitive algorithms in machine learning, requiring almost no training.
Plongeur bu xóot
KNN 'jàngat bu tayeel la': du def benn tàggat dëgg, lu moy loolu dafay denc done yépp. Ngir xaaj benn poñ bu bees, dafay natt distance bi, lu bari ci Euclidean, ci misaal buñ denc bu nekk, mu wut dëkkandoo yi gëna jege K, ba noppi jox ci ñoom xeetu dayo bi gëna bari. Ngir régression, dafay jël moyenne valeur yi ci dëkkandoo yi. Tanneef K amna solo: K bu ndaw dafay yëg bruit te mën na ëpp loxo, waaye K bu mag dafay yombal dogal yi waaye mën na dindi ay pegg yu dëggu. Ndax man-man yépp dañu bokk ci distance, KNN dafay laaj scaling man-man suko defee variable yu yaatu yi duñu ëpp doole. Li gëna néew doole ci moom mooy gaawaayu wax luy am, ndax laaj bu nekk dafay méngale ak done yépp.
Gis-gis xarala
KNN amul ay parametre te dafa sukkandiko ci misaal: du def benn xalaat ci jëmmu done yi te dafay denc misaal yi moo gën jàng poid yi. Jawriñu distance, Euclidean, Manhattan, wala cosine, dañuy màndargaal 'jegewaale', te àppu dogal bi muy jël mën na nekk lu jaxasoo lool. Ndax dafay méngale laaj bu nekk ak poñ yépp, seetlu bu naïf bi dafa yeex, moo tax bibliotek yi dañuy jëfandikoo garabi KD, garabi ball, wala index yi gëna jege ci dëkkandoo yi ngir gaawlu seetlu ci dimension yu gëna suufe.
njeextalu pexe
dogal yu gëna leer
Daf lay jàppale nga tàqale kàddu yu leer ci wàllu xarala ak làkku fësal njaay.
Njëgg ak budget
Mën nga laaj laaj yu gëna baax ci samp gi balaa ngay dugal xaalis wala sa jotu liggéey.
Ekip ak def liggéey
Ekip yi bokk xam-xam ñoo gëna mëna jël yenn dogal ci wàllu produit, politik ak jàng.
Ëlëgu K-Dëkkandoo yi gëna jege
Xalaat bu mag bi KNN am, mooy wut misaal yi gëna nuru, dooleel seetug vecteur bu bees bi ak génne gi gëna yokk, fu sistem yi di jëlee vecteur yi gëna jege ngir sos modeli làkk yu mag yi. Xeetu bibliotek yi gëna jege lu melni FAISS ak HNSW dañuy def seetlu bu nuróo ci escale miliyaar. Doonte bariwul luñu koy xaaj ci pipeline yu mag yi, njàngalem dëkkandoo bi gëna jege moo gëna am solo ndax yax gi ci seetlu semantik ak tegtal.
Doxal ci àdduna dëgg
Sistemu xalaat: xalaat filmu wala produit yu niro ak yi jëfandikukat bi bëgg ba pare.
Xamme nimero yiñ bind ak loxo: dafay xaaj nimero bi ci méngale ko ak nataal yiñ gëna nuru.
Jàppale ci saytu feebar bi: wax luy waaja am ci malaad yi am njariñu test yi gëna noonu.
Seetug semantik: wut mbind yiñ gëna jege ngir tontu ab laaj ci base de done vecteur.
Risk yi ak balustrade yi
Ekip yu bari mën nañu jëfandikoo benn baat ci anam wu wuute, kon teela leeral yaatuwaayam.
Benchmark yi mën nañu nuru lu am doole waaye performance yi ci àdduna bi duñu tolloo.
Bëgg kalite done ak palaŋu jàngat dafay faral di jur njariñ yu yomba dagg.
Roadmap ngir samp gi
Tàmbaleel ci joxe leeral ci làkk wu leer ci njariñ li nga soxla.
Tannal benn metric bu baax ak benn anam bu baaxul balaa ngay saytu.
Doxal ab pilote bu ndaw ak ay done yu representatif, du ab demo bu leer.
Bindal fi K-Nearest Neighbors di jàppale ak fi pexe yu gëna yomba gëna baax.
Weyal di banneexu
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Gis bi ci topp
Classificateur Bayes naïf
Laaj yi ñuy faral di laaj
What is K-Nearest Neighbors?
K-Dëkkandoo yi gëna jege (KNN) dafay xaaj poñ done yu bees ci xool misaal yi gëna jege ci K ba noppi jël wote yu ëpp. Dafa am solo ndax bokk na ci algorithm yi gëna yomba xam, gëna yomba xam ci jàngu masin, te daanaka soxlawul benn tàggat.
naka la KNN di xaajalee ab poñ de done bu bees?
KNN dafay wut misaal yiñ denc ci K bi gëna jege ba noppi jox leen klaas bi gëna bari (ngir régression, dafay moyenne seeni valeur).
Lu tax ñuy woowe KNN 'jàngat bu tayeel'?
KNN dafay toxal bépp liggéey ci waxtu wax luy am; Dafay xam rek done yi ci palaasu tabax benn model ci diiru tàggat yaram.
Lan moo tax eskalaasioŋ am solo ci KNN?
Ndax KNN dafay wéeru ci distance, màndarga bu yaatu bu amul eskaal mën na ëpp ñeneen ñi, moo tax màndarga yi dañuy faral di normalise.
Lan mooy xew soo tànnee K bu tuuti lool, lu melni K=1?
K bu ndaw bi dafay may benn dëkkandoo bu bari xumbaay wala buñu joxe etiket bu jaarul yoon mu jël dogal ci resultaa bi, loolu mooy indi jagged, overfit boundary.
Lan mooy ñakk kattan gi gëna mag ci KNN?
Ndax laaj bu nekk dafa wara natt distance bi ci misaal bu nekk, wax luy waaja am mën na yeex ci done yu bari, di laaj garab wala gaawaayu seetlu bu jege.