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機械学習基盤の本番運用とその取り組み / ML platform in production
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Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
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Kohei Ota
December 08, 2019
Technology
2.1k
8
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機械学習基盤の本番運用とその取り組み / ML platform in production
Kohei Ota
December 08, 2019
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Transcript
ػցֶशج൫ͷຊ൪ӡ༻ͱ ͦͷऔΓΈ 1SFTFOUFECZ,PIFJ0UB !JOEVDUPS +VMZ5FDI'FTUB
ࣗݾհ w ଠాߤฏ !@JOEVDUPS@ !JOEVDUPS w %PDLFS.FFUVQ5PLZP0SHBOJ[FS w *OGSBTUSVDUVSF&OHJOFFS
.-0QT5FBN!;0;05FDIOPMPHJFT *OD
;0;0508/ͷը૾ݕࡧػೳʹΈΔ ,VCFSOFUFTΛͬͨػցֶशج൫ӡ༻ͷཪଆ $MPVE/BUJWF%BZT,BOTBJ $PQZSJHIU;0;05FDIOPMPHJFT *OD גࣜձࣾ;0;0ςΫϊϩδʔζ ։ൃ෦ .-0QTνʔϜ ଠా
ߤฏ
;0;0508/ͷը૾ݕࡧػೳʹΈΔ ,VCFSOFUFTΛͬͨػցֶशج൫ӡ༻ͷཪଆ $MPVE/BUJWF%BZT,BOTBJ $PQZSJHIU;0;05FDIOPMPHJFT *OD גࣜձࣾ;0;0ςΫϊϩδʔζ ։ൃ෦ .-0QTνʔϜ ଠా
ߤฏ ৄ͘͠4QFBLFSEFDLͷεϥΠυͰʂ
ࠓͷλʔήοτ w Πϯϑϥ%FW0QT43&తͳ͜ͱΛ͍ͬͯΔਓ w ػցֶशʹ͍ͭͯ͋·Γྑ͔͍ͬͯ͘ͳ͍ਓ શʹཧղ͍ͯ͠Δਓ w ಥવৼΒΕΔṖͷλεΫʹରԠͰ͖Δ͔Θ͔Βͳ͍ਓ
͋Δ͜Μͳ͜ͱΛݴΘΕΔͱ ߟ͑ͯΈ͍ͯͩ͘͞
ܦӦऀʮ͜Ε͔Β"*ͩʂʂʯ
"*ʁػցֶशʁͲ͏ҧ͏ͷʁ
ػցֶशͬͯͳʹʁʁ
ػցֶशʁʁ w σʔλΛೖྗɺ͋Δ͖݁ՌΛग़ྗͱͯ͠ w ෳͷσʔλ͔Βڞ௨ͷϧʔϧಛɺஅج४Λநग़ w ໌ࣔతʹϓϩάϥϜϩδοΫΛॻ͔ͣʹ݁ՌΛग़ͨ͢ΊͷΈ
ػցֶशʁʁ w σʔλΛೖྗɺ͋Δ͖݁ՌΛग़ྗͱͯ͠ w ෳͷσʔλ͔Βڞ௨ͷϧʔϧಛɺஅج४Λநग़ w ໌ࣔతʹϓϩάϥϜϩδοΫΛॻ͔ͣʹ݁ՌΛग़ͨ͢ΊͷΈ ϩδοΫͷநԽ
ͳͥػցֶश͕ٻΊΒΕΔͷ͔ w ϞόΠϧΠϯλʔωοτ͕ීٴ͖ͬͨ͠ࠓɺࣄͷঢ়گٸܹʹมΘΔ w ͦͷมԽΛϓϩάϥϜͰද͢ͷେม w *GGPSͰઃఆͨ͠ύϥϝʔλʔΛॻ͖͑Δ͚ͩͷվमΛՃ͑Δͷ ͍͠͠ɺޮՌଌఆେมʢ͍ΘΏΔzਓແೳzͱ͍͏ݺΕΔͭʣ w ͜Ε·Ͱͷ͔Β࣍ͷ݁ՌΛ༧ଌ͢Δࣄ͕Ͱ͖Δശ͕͋Ε
ຊ࣭తʹαʔϏεͷϩδοΫͰͳ͍ͣ
ͳͥػցֶश͕ٻΊΒΕΔͷ͔ w ϞόΠϧΠϯλʔωοτ͕ීٴ͖ͬͨ͠ࠓɺࣄͷঢ়گٸܹʹมΘΔ w ͦͷมԽΛϓϩάϥϜͰද͢ͷେม w *GGPSͰઃఆͨ͠ύϥϝʔλʔΛॻ͖͑Δ͚ͩͷվमΛՃ͑Δͷ ͍͠͠ɺޮՌଌఆେมʢ͍ΘΏΔzਓແೳzͱ͍͏ݺΕΔͭʣ w ͜Ε·Ͱͷ͔Β࣍ͷ݁ՌΛ༧ଌ͢Δࣄ͕Ͱ͖Δശ͕͋Ε
ຊ࣭తʹαʔϏεͷϩδοΫͰͳ͍ͣ ػցֶशʹΑͬͯಘΒΕͨϞσϧ ϒϥοΫϘοΫε Λ ೖΕସ͑Δ͚ͩͰΞϓϦέʔγϣϯ͕ੈͷதͷ χʔζʹରԠͰ͖ΔͷͰͳ͍͔ʂͱ͍͏ൃ
ػցֶशͷԠ༻ྫ w ݕࡧΤϯδϯͷϦίϝϯσʔγϣϯ w ؞ʹ͓͚ΔෆྑͳͲͷҟৗݕ w Իೝࣝɺը૾ೝࣝ w גՁ༧ଌ
ػցֶशͷԠ༻ྫ w ݕࡧΤϯδϯͷϦίϝϯσʔγϣϯ w ؞ʹ͓͚ΔෆྑͳͲͷҟৗݕ w Իೝࣝɺը૾ೝࣝ w גՁ༧ଌ ϦΞϧλΠϜͰมԽ͢Δͷ
ਓؒͷखΛհ͢Δͱେมͳͷʹରͯ͠ಛʹ༗ޮ
ػցֶशͷར༻Πϝʔδ
ػցֶशͷར༻Πϝʔδ Ϟσϧ
ػցֶशͷར༻Πϝʔδ ֶश ਪ ਪϞσϧ
ֶशͱਪ w ֶश w σʔλΛҰఆͷنଇ ΞϧΰϦζϜ ʹैͬͯϞσϧʹม w σʔλιʔε͕ॏཁͳͷͰɺʑೖΕସΘΔͷఆৗతʹֶश͢Δ w
ਪ w ϞσϧΛͬͯɺ͋Δσʔλ͕Ͳͷύλʔϯʹ࠷͍͔ۙΛஅ͢Δ w ਪʹ͏Ϟσϧͷσʔλ͕ॏཁ
ֶशͱਪ w ֶश w σʔλΛҰఆͷنଇ ΞϧΰϦζϜ ʹैͬͯϞσϧʹม w σʔλιʔε͕ॏཁͳͷͰɺʑೖΕସΘΔͷఆৗతʹֶश͢Δ w
ਪ w ϞσϧΛͬͯɺ͋Δσʔλ͕Ͳͷύλʔϯʹ࠷͍͔ۙΛஅ͢Δ w ਪʹ͏Ϟσϧͷσʔλ͕ॏཁ 8FCʹͳ͍ػցֶशج൫ͷϙΠϯτ Ϟσϧ͕ػցֶशʹ͓͚Δ಄ ϒϥοΫϘοΫε ϞσϧͷೖΕସ͑ͱɺֶशසͳͲͷఆ͕ٛॏཁ
Πϯϑϥج൫ͷ
ྫ͑͜ΜͳΞϓϦ͕͋ͬͨͱͯ͠ 8FC "QQ %#
ΞϓϦʹػցֶशΛͬͨ ػೳΛ૿͢͜ͱΛߟ͑ͯΈΔ
Πϝʔδ͜͏ 8FC "QQ %# ਪϞσϧ ਪ"1*ͷ αʔϏϯά
Πϝʔδ͜͏ 8FC "QQ %# ਪϞσϧ ਪ"1*ͷ αʔϏϯά ͜ΕͰಈ͘ʹಈ͚͘Ͳɾɾɾ
Πϝʔδ͜͏ 8FC "QQ %# ਪϞσϧ ਪ"1*ͷ αʔϏϯά Ϟσϧͷߋ৽Ͳ͏͢Δͷʁ ΞϓϦͷߋ৽ͱύΠϓϥΠϯ͚Δͷʁ Πϯϑϥઃܭ୭͕͢Δͷʁ
ػցֶशʹؔΘΔਓͨͪ ࣾൺ w ϦαʔνϟʔˠΞϧΰϦζϜͱϞσϧධՁΛ୲ w .-ΤϯδχΞ
ػցֶशʹؔΘΔਓͨͪ ࣾൺ w Ϧαʔνϟʔ w .-ΤϯδχΞˠϞσϧΛͬͨ"1*ΞϓϦͷϓϩτλΠϐϯάͳͲ
ػցֶशʹؔΘΔਓͨͪ ࣾൺ w Ϧαʔνϟʔ w .-ΤϯδχΞˠϞσϧΛͬͨ"1*ΞϓϦͷϓϩτλΠϐϯάͳͲ ࣗಈԽͲͬͪͷࣄʁ ΠϯϑϥઃܭͩΕ͕Δʁ ύϑΥʔϚϯενϡʔχϯάʁ
Two Big Problems Data Scientist Machine Learning Engineer vs
Ϟσϧ࡞ͱαʔϏϯάͷ ֞ࠜΛແͯ͘͠ ࣮ӡ༻ʹ͑͏Δج൫Λ࡞Γ͍ͨ
%FWY0QT
.-Y0QT
.-0QTνʔϜͷϛογϣϯ ࣾൺ w .-ΤϯδχΞݚڀऀ͕ػցֶशϞσϧͷ։ൃʹूதͰ͖ΔڥΛఏڙ͢Δ w ϓϩτλΠϓΛϓϩμΫγϣϯϨϕϧʹҾ্͖͛Δ ˠݚڀऀɺ.-ΤϯδχΞ͕ͨͪ࡞ͬͨͷΛ࣮ࡍʹαʔϏεΠϯ͠ӡ༻·Ͱߦ͏
.-0QTͰิ͑Δ͜ͱ w ݚڀऀιϑτΣΞΤϯδχΞϦϯάͷݟ͕ͳ͍ w +VQZUFS/PUFCPPL͚ͩ͋Ε͍͍ɻ%PDLFSΠϯϑϥΒͳ͍͜ͱଟ͍ w .-ΤϯδχΞϓϩτλΠϐϯά͕ಘҙͰܧଓతͳΞϓϦέʔγϣϯͷվળ ࣗಈԽͷλεΫઐ֎ͳ͜ͱଟ͍ w $*$%ઃܭɺֶशϫʔΫϑϩʔͷ࠷దԽͳͲ༏ઌ͕͍
.-0QTͰิ͑Δ͜ͱ w %FW0QTͰഓͬͨϊϋΛػցֶशʹద༻͍ͯ͘͠ w (16$16ΛͬͨϫʔΫϑϩʔΠϯϑϥઃܭͳͲɺͦͦΠϯϑϥͷ ͕ࣝཁٻ͞ΕΔ w ຊ൪ʹ͚ͨΞϓϦέʔγϣϯͷվળ w ίϯςφԽɺϘτϧωοΫͷվળͳͲ
࣮ྫΛோΊͯΈΔ
;0;05FDIOPMPHJFT *OD ΞʔΩςΫνϟશମ $MPVE-PBE #BMBODJOH $MPVE"SNPS ,VCFSOFUFT &OHJOF $MPVE
4UPSBHF $POUBJOFS 3FHJTUSZ $MPVE .FNPSZTUPSF %FWFMPQFS ը૾ετϨʔδ ϞσϧετϨʔδ ίϯςφΠϝʔδ Ωϟογϡ $MPVE $PNQPTFS ֶश ,VCFSOFUFT &OHJOF "//JOEFY Ϟσϧ 6TFS ֶश ਪ (16 $MPVE 'JMFTUPSF
None
.-0QTͷ୲ྖҬ ࣾൺ w Πϯϑϥͷߏཧ $*$%ύΠϓϥΠϯؚΉ w ΞϓϦέʔγϣϯͷ$*$%ίϯςφԽɺνϡʔχϯά w ֶशϫʔΫϑϩʔͷվળӡ༻
શ෦Ͱ͖ͳ͍ͱ͍͚ͳ͍ͷ͔ʁ
:FTBOEOP
νʔϜͷଟ༷ੑ w 43&ʹ͓͍ͯඞཁͱ͞ΕΔνʔϜͷଟ༷ੑ.-0QTͰॏཁ w ۀϓϩμΫτɺج൫ʹ͓͍ͯΘΕΔٕज़શͯแׅతʹཧղ͢Δ ͜ͱ͕ॏཁͳͷݴ͏·Ͱͳ͍ w ಘҙྖҬ͕ҧ͏ΤϯδχΞ͕ෳ͍Δ͜ͱʹΑͬͯνʔϜͱͯ͠ ΑΓେ͖ͳൣғΛΧόʔͰ͖Δ w
ҧ͏ࢹͷΤϯδχΞ͕͏·͘ಈ͍͍ͯ͘ʹɺݸʑͷνʔϜΛҙࣝͨ͠ ಈ͖༏लͳϦʔμʔͷଘࡏॏཁ
νʔϜͷଟ༷ੑ w 43&ʹ͓͍ͯඞཁͱ͞ΕΔνʔϜͷଟ༷ੑ.-0QTͰॏཁ w ۀϓϩμΫτɺج൫ʹ͓͍ͯΘΕΔٕज़શͯแׅతʹཧղ͢Δ ͜ͱ͕ॏཁͳͷݴ͏·Ͱͳ͍ w ಘҙྖҬ͕ҧ͏ΤϯδχΞ͕ෳ͍Δ͜ͱʹΑͬͯνʔϜͱͯ͠ ΑΓେ͖ͳൣғΛΧόʔͰ͖Δ w
ҧ͏ࢹͷΤϯδχΞ͕͏·͘ಈ͍͍ͯ͘ʹɺݸʑͷνʔϜΛҙࣝͨ͠ ಈ͖༏लͳϦʔμʔͷଘࡏॏཁ ɾνʔϜͷ౷ ɾνʔϜͷଟ༷ੑ ͜ΕΒཁૉͷཱ͕྆ॏཁ
͏গ࣮͠ࡍͷऔΈʹ͍ͭͯ ۷ΓԼ͛ͯΈ·͠ΐ͏
.-0QTͷ୲ྖҬ ࣾൺ w Πϯϑϥͷߏཧ $*$%ύΠϓϥΠϯؚΉ w ΞϓϦέʔγϣϯͷ$*$%ίϯςφԽɺνϡʔχϯά w ֶशϫʔΫϑϩʔͷվળӡ༻
8FC։ൃͱڞ௨෦͕େ͖͍λεΫ ػցֶशʹݻ༗ͷ෦͕େ͖͍λεΫ
ΞϓϦͷνϡʔχϯά w ϏδωεϩδοΫΛม͑ͳ͍ൣғͰਪ"1*ͷΛ্͛Δ w "1.֎ܗࢹͳͲΛ͔ͭͬͯఆৗࢹ͠ɺϘτϧωοΫΛݟ͚ͭΔ w ϞσϧͰѻ͏ϕΫτϧͷύϥϝʔλʔσʔλͷྔʹΑͬͯɺ$16 (16ͲͪΒΛ͏͖͔͕ܾ·Δ ෛՙࢼݧͳͲͰݕূ͢Δ
w (16ศར͕ͩɺίϯςΩετεΠονʹऑ͍ͷͰΞϓϦέʔγϣϯͰ ۃྗ͍ͨ͘ͳ͍
ΞϓϦͷνϡʔχϯά w ϏδωεϩδοΫΛม͑ͳ͍ൣғͰਪ"1*ͷΛ্͛Δ w "1.֎ܗࢹͳͲΛ͔ͭͬͯఆৗࢹ͠ɺϘτϧωοΫΛݟ͚ͭΔ w ϞσϧͰѻ͏ϕΫτϧͷύϥϝʔλʔσʔλͷྔʹΑͬͯɺ$16 (16ͲͪΒΛ͏͖͔͕ܾ·Δ ෛՙࢼݧͳͲͰݕূ͢Δ
w (16ศར͕ͩɺίϯςΩετεΠονʹऑ͍ͷͰΞϓϦέʔγϣϯͰ ۃྗ͍ͨ͘ͳ͍ *46$0/ͨͪʹେͳ͜ͱΛڭ͑ͯ͘Εͨ
ֶशϫʔΫϑϩʔͷӡ༻ͱվળ w ݚڀऀ.-ΤϯδχΞ͕ϞσϧΛ࡞͞ΕΔҰ࿈ͷྲྀΕΛ ϑϩʔʹམͱ͠ࠐΈɺࣗಈԽ͢Δ w ຖɺຖ࣌ؒใ͕มΘΔΑ͏ͳσʔλʹରͯ͠ܧଓͯ͠ՁΛ ఏڙ͢ΔͨΊʹඞཁෆՄܽ w ฒྻ࣮ߦੑ͕Ͳ͜·ͰߴΊΒΕΔ͔ w
ΞϧΰϦζϜɺ͍ͬͯΔख๏ʹର͢Δཧղ͕ॏཁ
;0;05FDIOPMPHJFT *OD ը૾ݕࡧʹΘΕΔҰൠతͳΞϧΰϦζϜ ମݕग़ΞϧΰϦζϜ • ը૾͔Βମͷݕग़ͱΫϥεྨΛ͢Δ ಛྔநग़ΞϧΰϦζϜ • ը૾͔Βଟ࣍ݩϕΫτϧͷಛྔΛநग़͢Δ
ۙࣅ࠶࠷ۙ୳ࡧ "// • ߴʹଟ࣍ݩͷϕΫτϧΛ୳ࡧ͢Δ IUUQTHJUIVCDPNTQPUJGZBOOPZ $// 'FBUVSF
.-ϓϩμΫγϣϯ·ͰͷྲྀΕ ਪϞσϧ࡞ͬͨΑ ϞσϧσϓϩΠͯ͠ ਪ"1*࡞ΔΑʂ
.-ϓϩμΫγϣϯ·ͰͷྲྀΕ ਪϞσϧ࡞ͬͨΑ ϞσϧσϓϩΠͯ͠ ਪ"1*࡞ΔΑʂ ϫʔΫϑϩʔͰ ਪϞσϧͷੜΛࣗಈԽ ΞϓϦέʔγϣϯͷ $*$%ύΠϓϥΠϯ ਪϞσϧͷ ࣗಈσϓϩΠ
.-ϓϩμΫγϣϯ·ͰͷྲྀΕ ਪϞσϧ࡞ͬͨΑ ϞσϧσϓϩΠͯ͠ ਪ"1*࡞ΔΑʂ ϫʔΫϑϩʔͰ ਪϞσϧͷੜΛࣗಈԽ ΞϓϦέʔγϣϯͷ $*$%ύΠϓϥΠϯ ਪϞσϧͷ ࣗಈσϓϩΠ
࣮ɺ͍ͬͯΔ͜ͱͷຊ࣭ ࠓ·Ͱͷ43&%FW0QTͷख๏ͱͦΜͳʹҧ͍͕ͳ͍
վΊͯ.-0QTͷ ϛογϣϯʹ͍ͭͯৼΓฦΔ
.-0QTνʔϜͷϛογϣϯ ࣾൺ w .-ΤϯδχΞݚڀऀ͕ػցֶशϞσϧͷ։ൃʹूதͰ͖ΔڥΛఏڙ͢Δ w ϓϩτλΠϓΛϓϩμΫγϣϯϨϕϧʹҾ্͖͛Δ ˠݚڀऀɺ.-ΤϯδχΞ͕ͨͪ࡞ͬͨͷΛ࣮ࡍʹαʔϏεΠϯ͠ӡ༻·Ͱߦ͏
.-0QTνʔϜͷϛογϣϯ ࣾൺ w .-ΤϯδχΞݚڀऀ͕ػցֶशϞσϧͷ։ൃʹूதͰ͖ΔڥΛఏڙ͢Δ w ϓϩτλΠϓΛϓϩμΫγϣϯϨϕϧʹҾ্͖͛Δ ˠݚڀऀɺ.-ΤϯδχΞ͕ͨͪ࡞ͬͨͷΛ࣮ࡍʹαʔϏεΠϯ͠ӡ༻·Ͱߦ͏ Ϟσϧ"1*ͷʑͷ։ൃऀ ମݧͷ্ 43&తͳΞϓϩʔν
·ͱΊ w %FW0QT։ൃͱӡ༻ͷ֞ࠜΛແ͘͠ɺϏδωεʹߩݙ͢ΔεϐʔυײΛߴΊΔͨΊ ͷऔΓΈɺจԽվֵͷϚΠϯυηοτͩͬͨ w 43&%FW0QTΛؚΉɺαʔϏεͷఏڙՁΛߴΊΔ࣮ફతͳΞϓϩʔν w .-0QT྆ऀͷ࣋ͭಛੑΛػցֶशͷεϐʔυײ৴པੑΛߴΊΔͨΊͷऔΓΈ
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