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ペパボ研究所がOneLoveな理由/Why pepaken is one love
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monochromegane
July 06, 2017
Technology
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990
ペパボ研究所がOneLoveな理由/Why pepaken is one love
ペパボ研究所 やさしい発表会 - ペパボ研究所で事業を差別化する -
monochromegane
July 06, 2017
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Transcript
- ϖύϘݚڀॴͰࣄۀΛࠩผԽ͢Δ - ࡾ༔հ / Pepabo R&D Institute, GMO Pepabo,
Inc. 2017.07.06 ϖύϘݚڀॴ ༏͍͠ൃදձ ϖύϘݚڀॴ͕OneLoveͳཧ༝
ϓϦϯγύϧΤϯδχΞ ࡾ ༔հ / @monochromegane 2 http://blog.monochromegane.com Yusuke Miyake ϖύϘݚڀॴ
ݚڀһ
1. ϖύϘݚڀॴͷϛογϣϯ 2. ϖύݚͱαʔϏεͷؔ 3. ݚڀ։ൃࣄྫͷհ 3 ࣍
1. ϖύϘݚڀॴͷϛογϣϯ
5 ϖύϘݚڀॴ(ུশʮϖύݚʯ)ɺࣄۀΛࠩผԽ Ͱ͖Δٕज़Λ࡞Γग़ͨ͢ΊʹʮͳΊΒ͔ͳγες Ϝʯͱ͍͏ίϯηϓτͷԼͰݚڀ։ൃʹऔΓΉ ৫Ͱ͢ɻ ❝ ϖύϘݚڀॴʹ͍ͭͯ http://rand.pepabo.com/
ͳͥݚڀ͔
• ݚڀɺࣄ࣮ཧΛ໌Β͔ʹ͢Δʹ͋ͨΓɺ৽نੑɺ༗ޮੑɺ৴པੑΛ٬؍ తʹࣔ͞ͳ͚ΕͳΒͳ͍ • طଘख๏ͷௐࠪ(వ)ɺ뱌(ઈ)ɺจԽ(࿅)Λܦͯɺख๏ͷঢ՚(ൃ)ʹࢸΔ • ݚڀతΞϓϩʔνͷ෮ʹΑͬͯɺཧख๏͕લਐ͢Δ(Ԡ༻ɺܥ౷) • ٕज़͕ҰൠԽ͢Δ࣌ͰɺݚڀΛ௨ͯ͋͠Δख๏ʹ͓͚Δ৽نੑΛݗҾͰ͖ ΔଘࡏͱͳΔ͜ͱ͕ɺࠩผԽͰ͖Δٕज़Λ࣋ͭ͜ͱʹͭͳ͕Δ
7 ͳͥݚڀ͔ ࠩผԽͰ͖Δٕज़Λ࡞Γग़ͨ͢ΊʹɺݚڀతΞϓϩʔν͕༗ޮ
2. ϖύݚͱαʔϏεͷؔ
9 ΞΧσϛοΫͳਫ४ʹ͓͚Δ৽نੑɾ༗ޮੑɾ৴ པੑΛٻ͢ΔݚڀΛߦ͏ͱͱʹɺݚڀ։ൃ͠ ٕͨज़Λ࣮ࡍͷγεςϜͱ࣮ͯ͠ɾఏڙ͢Δ͜ ͱΛ௨ͯ͠ɺࣄۀͷʹߩݙ͠·͢ɻ ❝ ϖύϘݚڀॴʹ͍ͭͯ http://rand.pepabo.com/
10 ϖύݚͱαʔϏεͷؔ ࣄۀΛࠩผԽ͢ΔͨΊʹɺݚڀॴͱαʔϏεͷ࿈ܞ͕ඞਢ ݚڀ ։ൃ ӡ༻ ՝ͷڞ༗ ݚڀʹΑΔղܾ ಋೖ࣌ͷΤϯδχΞؒ࿈ܞ ݚڀ։ൃ݁ՌΛଈ࣌αʔϏεʹಋೖ͢ΔΈͱɺಋೖޙͷϑΟʔυόοΫʹΑΔαΠΫϧͷߴ
ԽʹΑͬͯɺݚڀ։ൃͷߴԽͱࣄۀͷࠩผԽʹͭͳ͛Δ
11
3. ݚڀ։ൃࣄྫͷհ
ಛநग़ثͷֶशͱߪങཤྺΛ ඞཁͱ͠ͳ͍ྨࣅը૾ʹΑΔ ؔ࿈ݕࡧγεςϜ
14 ՝ͷڞ༗ େ͖ͳ୯ҐͰͷ՝ʢઓུʣͷڞ༗ • minneʹ͓͍ͯɺ࡞ͱͷग़ձ͍ͷ֬Λ্͛Δ͜ͱ͕ઓུͷͻͱͭͱ্ͯ͠ ͛ΒΕ͍ͯΔɻݱࡏɺminneʹඦສͷ࡞͕ొ͞Ε͓ͯΓɺαʔϏε ར༻ऀͷ௨ৗͷߦಈͰશͯͷ࡞ΛݟͯճΔ͜ͱࠔͰ͋Δɻ • ඞવతʹαʔϏεར༻ऀ͕ߪೖ͍ͨ͠ͱࢥ͏࡞ͱग़ձ͏֬Լ͖ͯͯ͠ ͓Γɺ͜ͷ֬Λ্͛Δ͜ͱ͕ɺ͓ങ͍ମݧͷ࠷େԽͷͨΊʹٻΊΒΕ͍ͯ
Δɻ
• ճ༡ͷಋઢΛ૿͢ඞཁ͕͋ΔɻAmazonָఱͱ͍ͬͨECαΠτͰؔ࿈ ࡞Λఏࣔ͢Δ͜ͱͰͷݕ౼Λܧଓͤ͞Δճ༡͕͋ΓɺͦͷͨΊʹͳΜ Β͔ͷ؍Ͱؔ࿈͍ͯ͠Δ͜ͱΛγεςϜతʹѻ͑Δঢ়ଶʹ͢Δඞཁ͕͋Δ 15 ண؟ͱํࣜ • ௨ৗɺDB্ʹؚ·ΕΔใʢߏԽͨ͠ใʣʹΑͬͯಉҰࢹͰ͖Δͷ ʢminneͰݴ͑ಉ͡ΧςΰϦɺಉ͡৭ʣͳͲΛ༻͍Δ͕ɺ͜Ε·Ͱʹͳ͍ؔ ࿈࡞ͷಋઢΛ૿ͨ͢Ίɺ·ͩߏԽ͞Ε͍ͯͳ͍ใΛminneͰऔΓѻ
͑ΔΑ͏ʹ͍ͯ͘͠ɻ
• ߪങཤྺͷใ͕ෆཁͰྨ༻ͷՃใͱͯ͠Ͱͳ͘ɺৗʹઃఆ͞ΕΔ ը૾Λର • ಋೖઌͷECαΠτͷʹґଘ͠ͳֶ͍शෆཁͰ൚༻తͳֶशࡁΈωοτ ϫʔΫΛಛநग़ثͱͯ͠࠾༻ • ಛநग़ث͔ΒಘΒΕͨಛྔΛͱʹۙࣅۙ୳ࡧʹΑΓྨࣅը૾Λݕࡧ 16 ఏҊख๏
17
ಛྔม 18 Service Object Storage GCP image to data data
to feature vectorizer by Inception-v3 Annoy Workers • ͋Δ࣌·Ͱͷ࡞ը૾ҰཡΛಛྔʹม͢Δ • มͨ͠ಛྔҰཡΛۙࣅۙ୳ࡧσʔλϕʔεʹೖ͢Δ
• ۙࣅۙ୳ࡧσʔλϕʔεΛmruby-annoy + ngx_mrubyʹͯAPIԽ • ࡞ৄࡉʹྨࣅը૾Λ༻͍ͨؔ࿈࡞Λදࣔ͢Δ 19 ྨࣅը૾ݕࡧ Nyah mruby-annoy
on ngx_mruby products#show product_id nearest products CTR Analytics NNS ˞ۙࣅۙ୳ࡧ࣌ʹେ෦ͷΠϯσο ΫεͷΞΫηε͕ൃੜ͢ΔͨΊ࣮༻ తͳΛಘΔͨΊʹσʔλϕʔε ϑΝΠϧ͕શͯϖʔδΩϟογϡʹࡌ ΔαΠζͷϝϞϦ͕ඞཁ
ྨࣅը૾ʹΑΔؔ࿈࡞ݕࡧ 20
ྨࣅը૾ʹΑΔؔ࿈࡞ݕࡧ 21
ΫϦοΫͱίϯόʔδϣϯ 22 طଘ ఏҊ $53 $73
˞ఏҊख๏ʹΑΔબఆ͕ߦ͑ͳ͍߹ʹαʔϏεͷ ػձଛࣦΛආ͚ΔͨΊطଘख๏ʹΑΔબఆΛߦͬͯ ͍ΔͨΊݕূظؒதͷ֤ख๏ͷදׂࣔ߹طଘ ɺఏҊͰ͋ͬͨ ˞ίϯόʔδϣϯΫϦοΫʹର͢Δߪೖ͔ ΒٻΊͨ طଘ ఏҊ ૉࡐɾࡐྉγΣϧ ૉࡐɾࡐྉϦϘϯɾςʔϓ ૉࡐɾࡐྉϘλϯ ͵͍͙ΔΈɾਓܗ͋Έ͙ΔΈ χοτɾฤΈηʔλʔɾΧʔσΟΨϯ ఏҊख๏͕༗ޮͰ͋ͬͨΧςΰϦ
ݚڀใࠂΠϯλʔωοτͱӡ༻ٕज़ʢIOTʣ 23 ࡾ ༔հ, দຊ ྄հ, ྗ ݈࣍, ܀ྛ ݈ଠ,
ಛநग़ثͷֶ शͱߪങཤྺΛඞཁͱ͠ͳ͍ྨࣅը૾ʹΑΔؔ࿈ݕࡧγ εςϜ, ݚڀใࠂΠϯλʔωοτͱӡ༻ٕज़ʢIOTʣ, Vol.2017-IOT-37(4), pp.1-8, May 2017 http://id.nii.ac.jp/1001/00178892/
ϑΟʔυόοΫ
Gannoy Approximate nearest neighbor search server and dynamic index written
in Golang. https://github.com/monochromegane/gannoy
GannoyʹΑΔಈతΠϯσοΫεߋ৽+ྨࣅը૾ݕࡧ 26 Features Similar items Gannoy [2048]float64 query by http
find similar features mapping similar features to items response Deep CNN index Features [2048]float64 Deep CNN register by http
ΞΫηεස༧ଌʹجͮ͘ ԾαʔόͷܭըతΦʔτεέʔϦϯά
28 ՝ͷڞ༗
• ैྔ՝ۚͷԾαʔόӡ༻ʹ͓͍ͯ࠷దͳϦιʔεधཁͷ༧ଌίετΧοτʹͭͳ͕Δ • WebαʔϏεͷϦιʔεधཁϦΫΤετॲཧ݅ɺͭ·ΓΞΫηεͱ૬͕ؔ͋Δͣ • Ϧιʔεͷ૿ݮʹ͋Δఔͷ͕͔͔࣌ؒΔͨΊɺϦΞϧλΠϜͰͳ͘ҰఆִؒͰͷΞ Ϋηε༧ଌͰेͱߟ͑Δ 29 ண؟ͱํࣜ ΞΫηεΛ༧ଌͰ͖ΔΑ͏ʹͳΕ
ɺϐʔΫλΠϜʹ͋Θͤͨݟੵ Γ͔Β࣌ؒ͝ͱͷ࠷దʢͱࢥΘΕ ΔʣݟੵΓ͕ՄೳʹͳΔ
• WebαʔϏεશମͰҰఆ࣌ؒʹॲཧͨ͠ΞΫηεසͰ͋ΔεϧʔϓοτΛ ࢦඪͱ͠ɺӡ༻্ɺܦݧతʹѲ͞Ε͍ͯΔ҆ఆͯ͠ӡ༻ՄೳͳΛࢦ͢ • աڈͷΞΫηεසͱෆఆظͳมಈཁҼ͔Β༧ଌϞσϧΛಋ͘ • ༧ଌతͳߏมߋΛ՝ۚ୯ҐͰ͋Δ1࣌ؒΛ୯Ґʹߦ͏ 30 ఏҊख๏
31 ఏҊख๏
32 ΞΫηεස༧ଌϞσϧ ΞΫηεස༧ଌϞσϧ ֶशσʔλΫϥυαʔϏεͷඪ४՝ ۚ୯ҐͰ͋Δ࣌ؒΛཻͱ͢Δ 8FCαʔϏεͷ࠷ఆৗੑΛ֬ೝͰ͖Δ࣌ؒͷσʔλ Λೖྗͱ͠ɺ࣍ͷ࣌ؒͷΞΫηεස༧ଌΛग़ྗͱ͢Δ ˞࣌ؒޙҎ߱༧ଌΛؚΊͨظΛೖྗͱ͢Δ
33 Ծαʔόࢉग़ • ༧ଌͨ͠ΞΫηεසΛجʹɺWebαʔϏεΛ҆ఆͯ͠ӡ༻ Ͱ͖Δ҆ͱͳΔεϧʔϓοτΛ֬อͰ͖ΔΛٻΊΔ ༧ଌΞΫηεසʹର͠εϧʔϓοτΛ ֬อͰ͖ΔΛࢉग़͢Δ 5<ΞΫηεස> 1<༧ଌΞΫηεස࣌> -αʔόԼݶ
• ࠓճͷධՁͰɺରͷ WebαʔϏεʹ͓͍ͯཌ ͕ฏͷ߹ɺؒʹΞΫ ηεස͕૿Ճ͢Δͱ͍͏ ܦݧଇΛཁҼͱͯ͠Ճ͑ͨ 34 ඇఆৗͷཁҼͷՃຯʹΑΔ༧ଌਫ਼ͷධՁ
35 ඇఆৗͷཁҼͷՃຯʹΑΔ༧ଌਫ਼ͷධՁ ؒʹීஈͱҟͳΔͱͳΔಛੑΛଊ ͑ͨ༧ଌ͕ߦΘΕ͍ͯΔɻ
36 ܭըతΦʔτεέʔϦϯάͷධՁ ԾαʔόͷਪҠ ͋ͨΓͷαʔό૯ىಈ࣌ؒ"܈ ը૾্ Ͱ͔࣌ؒΒ࣌ؒʹɺ#܈ ը૾Լ Ͱ ͔࣌ؒΒ࣌ؒʹݮ
˞"܈ͷ࣌ࢉग़͕ԼݶΛԼ ճͬͨͨΊɺͷมಈݟΒΕͳ͍
37 ܭըతΦʔτεέʔϦϯάͷධՁ ΞΫηεසͷਪҠ ͋ͨΓΞΫηεසͷඪ४ภࠩ"܈ ը ૾্ Ͱ͔Βʹɺ#܈ ը ૾Լ Ͱ͔ΒʹมԽɻ
ख๏ద༻ޙʹεϧʔϓοτ͕҆ఆ͍ͯ͠Δ ͜ͱ͕Θ͔Δɻ ˞"܈ͷ૿ՃԼݶӡ༻ͱͳͬͨ࣌ؒଳ ͷ͋ͨΓͷεϧʔϓοτ૿ՃʹΑΔ ͷͱߟ͑ΒΕΔ
ݚڀใࠂΠϯλʔωοτͱӡ༻ٕज़ʢIOTʣ 38 ࡾ ༔հ, দຊ ྄հ, ྗ ݈࣍, ܀ྛ ݈ଠ,
ΞΫηεස༧ ଌʹجͮ͘ԾαʔόͷܭըతΦʔτεέʔϦϯά, ݚڀใࠂ Πϯλʔωοτͱӡ༻ٕज़ʢIOTʣ, Vol.2017-IOT-38(13), pp.1-8, June 2017 http://id.nii.ac.jp/1001/00182375/
ݚڀ݁ՌͷαʔϏεಋೖ
1. ج൫ԽɺAPIԽʹΑΔݚڀڥͱαʔϏεͷγʔϜϨεͳ࿈ܞ 2. ίʔυཧɺόʔδϣϯཧʹΑΔݚڀͱӡ༻ͷฒߦ 40 ݚڀ݁ՌͷαʔϏεಋೖ ݚڀ݁ՌͷαʔϏεಋೖଈ͔࣌ͭશࣾల։Ͱ͖Δ͜ͱ͕·͍͠
1. ϩάDBͳͲͷαʔϏεࢿ࢈ͱ࿈ܞͰ͖Δ 2. ൺֱత༰қʹϞσϧͷߏஙͱࢼߦ͕ߦ͑Δ 3. ֶश݁ՌΛར༻͢ΔͨΊͷखஈͱͯ͠APIΛఏڙ͢Δ 1. ֶश݁ՌͷϩʔΧϧར༻͕Ͱ͖Δͱͳ͓Α͍ 4. ্هͷΈ͕εέʔϥϒϧͰ͋Δ͜ͱ
41 ػցֶशج൫ʹٻΊΒΕΔͷ
1. ೖग़ྗ͕Cloud Storageܦ༝ 2. ܇࿅ϓϩάϥϜͱͯ͠TensorFlowΛ࠾༻ 3. ΦϯϥΠϯ༧ଌαʔϏεʹΑΓϞσϧͷAPIԽ 1. ֶश݁ՌCloud StorageʹอଘɺϩʔΧϧͰͷར༻
4. ࢄܕͷτϨʔχϯάΠϯϑϥͱෛՙࢄαʔϏεͱͷ࿈ܞ 42 Google Cloud ML EngineͰߟ͑Δ ※ ݕ౼ʹؔ͢Δৄࡉ: http://rand.pepabo.com/article/2017/01/18/pepabo-ml-platform-and-workflow/
StarChart StarChart is a tool to manage Google Cloud Machine
Learning training programs and model versions https://github.com/monochromegane/starchart
• όʔδϣϯཧͷସʹ͓͚Δஅج४ͱͳΔ܇࿅ϓϩάϥϜɺύϥϝλɺδϣ ϒใ·ͰؚΊͯίʔυͰཧ • ֶश࣌ͷδϣϒIDCloud Storageͷύεɺόʔδϣϯʹඥͮ͘ύϥϝλใ ͷऔಘʹ·ͭΘΔCloud MLͷࡉ͔ͳ͍উखվળ 44 StarChart
·ͱΊ
• ϖύݚͱαʔϏεͰେ͖ͳ୯ҐͰͷ՝ͷڞ༗Λܧଓ͢Δ • ݚڀ݁ՌͷಋೖͱϑΟʔυόοΫΛߴʹ͢Δ͜ͱ͕ࣄۀͷࠩผԽʹͭͳ͕Δ • ϖύݚݚڀ݁ՌΛଈ͔࣌ͭશࣾͰར༻Ͱ͖Δج൫Λ • αʔϏεಋೖɺӡ༻࣌ͷΤϯδχΞؒ࿈ܞΛ 46 ·ͱΊ
͍·ΑΓʮΈΜͳʯͷ෯Λ͛ɺͦͷʮΈΜͳʯʹରͯؔ͠৺Λ͍࣋ͬͯ͘ One Love ❝ http://blog.kentarok.org/entry/2016/12/21/002537
ݚڀһɺੵۃతʹืूதʂ http://rand.pepabo.com/
• ϖύϘݚڀॴ • http://rand.pepabo.com/ • ಛநग़ثͷֶशͱߪങཤྺΛඞཁͱ͠ͳ͍ྨࣅը૾ʹΑΔؔ࿈ݕࡧγεςϜ • http://rand.pepabo.com/article/2017/06/19/iot37-miyakey/ • ΞΫηεස༧ଌʹجͮ͘ԾαʔόͷܭըతΦʔτεέʔϦϯά
• http://rand.pepabo.com/article/2017/06/28/iot38-miyakey/ • Google Cloud ML Λ༻͍ͨػցֶशج൫ͷߏஙͱӡ༻ • https://speakerdeck.com/monochromegane/pepabo-ml-infrastructure-starchart • 2017ͷςʔϚ: One Love • http://blog.kentarok.org/entry/2016/12/21/002537 48 ࢀߟ