Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Prophetを使ったコスパの良い時系列データ予測 / prophet-use-cases
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Haruki Okuyama
August 28, 2019
Business
0
110
Prophetを使ったコスパの良い時系列データ予測 / prophet-use-cases
ビジネスにおける時系列データをトレンド・季節性・イベント効果の3つに分けて予測する
Haruki Okuyama
August 28, 2019
Tweet
Share
More Decks by Haruki Okuyama
See All by Haruki Okuyama
Prophetを使った時系列データ予測と機械学習モデルとの比較 / prophet-vs-ml
spring1018
0
1.4k
Other Decks in Business
See All in Business
「事業目線」の正体 〜3つのフェーズのCTO経験から見えてきた、EMが持つべき視点 @ EMConf JP 2026
sotarok
7
2.5k
人々にとってかけがえのないプロダクトを作るには ~顧客の日常に紛れる "not not" を見つけろ!~ #pdmyy
bonotake
2
200
クリヤマジャパン㈱採用資料
uemura2024
0
6.3k
会社紹介資料
gatechnologies
2
160k
Project Facilitation
hiranabe
1
220
ゼロから始めるAIエージェント:失敗しないための導入ステップ
ncdc
0
280
特定領域から複数領域へ、そのとき何を求められるのか?縦と横、2つの影響力:統合型を目指す大規模な開発組織での実践
keitatomozawa
3
440
「きっかけ作り」から始めるKiro定着の軌跡
iamme
0
110
インキュデータ会社紹介資料
okitsu
3
51k
Backlog迷子にさせないやさしい仕組み
mappuyo
0
170
株式会社ボスコ・テクノロジーズ Company Deck(全職種編)
boscotechrecruit
0
5.2k
株式会社セレス 会社紹介資料【エンジニア向け】
hnagatomo
0
1.6k
Featured
See All Featured
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.6k
AI in Enterprises - Java and Open Source to the Rescue
ivargrimstad
0
1.2k
The AI Search Optimization Roadmap by Aleyda Solis
aleyda
1
5.4k
The Language of Interfaces
destraynor
162
26k
Faster Mobile Websites
deanohume
310
31k
Leo the Paperboy
mayatellez
4
1.5k
Being A Developer After 40
akosma
91
590k
16th Malabo Montpellier Forum Presentation
akademiya2063
PRO
0
69
How to build an LLM SEO readiness audit: a practical framework
nmsamuel
1
670
The Spectacular Lies of Maps
axbom
PRO
1
610
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
9
1.2k
4 Signs Your Business is Dying
shpigford
187
22k
Transcript
©2019 Wantedly, Inc. ProphetΛͬͨ ίεύͷྑ͍࣌ܥྻσʔλ༧ଌ Creators MeetUp ϏΞόογϡLTձ Aug 28,
2019 - Haruki Okuyama - @spring1018x
©2019 Wantedly, Inc. Self-Introduction •Haruki OkuyamaʢԞࢁ ݰكʣ •Wantedly, Inc. (since
April 2019) •Recommendation Team •Like puyopuyo-tetris
©2019 Wantedly, Inc. ͢͜ͱ ɾ࣌ܥྻσʔλಛ༗ͷੑ࣭ ɾ࣌ܥྻ༧ଌϥΠϒϥϦProphetΛͬͨ༧ଌ ͞ͳ͍͜ͱ ɾProphetͷΞϧΰϦζϜ ɾProphetͷύϥϝʔλɾػೳͷৄࡉ About
this talk
©2019 Wantedly, Inc. KPI࣌ܥྻσʔλͰ͋Δ͜ͱ͕΄ͱΜͲ ɾKPIͷඪΛઃఆ͍ͨ͠ ݱࡏͷɾ݄͝ͱͷมಈΛߟྀͯ͠༧ଌͨ͠ʹ͢Δඞཁ͕͋Δ ɾKPIͷੑ࣭Λ͔ͭΈ͍ͨ KPI͕มԽͨ͠ࡍʹ, ԿͷӨڹʹΑΔͷ͔ΛఆྔతʹѲ͍ͨ͠ ࣌ܥྻσʔλͷ༧ଌ
©2019 Wantedly, Inc. ɾτϨϯυ ɾقઅੑ ɾex)िɾ݄৳ͼΔ, 3݄ब׆γʔζϯ ɾٳɾॕޮՌ ɾΠϕϯτΩϟϯϖʔϯ ࣌ܥྻσʔλͷ༧ଌͷԿ͕͍͠ʁ
͜ΕΒ͕ෳࡶʹࠞ͟Δ
©2019 Wantedly, Inc. Wantedlyͷ࣌ܥྻσʔλͷྫ ɾμογϡϘʔυมಈ͕େ͖͍σʔλͷ߹, τϨϯυ͕Θ͔Γʹ͍͘ ɾٳͷӨڹΛड͚͍͕͢, िɾ݄ʹΑͬͯٳͷ͕ҟͳΔ ɾिɾ݄ຖͷ͕ఆྔతʹΘ͔͍ͬͯͳ͍ͱͷஅ͕Ͱ͖ͳ͍ ex)
3݄ब׆γʔζϯͰ৳ͼΔ͕, Կ%ϓϥεʹิਖ਼͞ΕΔʁ Time ˞͜ΕҎ߱ͷσʔλ8BOUFEMZͷ͋ΔࢦඪΛͱʹՃͨ͠ͷ
©2019 Wantedly, Inc. ProphetʹΑΔ༧ଌ 'BDFCPPLͷ044ඇઢܗͳ࣌ܥྻσʔλΛقઅੑٳޮՌΛऔΓೖΕͯ༧ଌ͢Δ ɾτϨϯυ H U ɾقઅੑ T
U ɾٳɾॕޮՌ I U ɾΠϕϯτΩϟϯϖʔϯ Forecasting at Scale Sean J. Taylor∗† Facebook, Menlo Park, California, United States ࣌ܥྻσʔλ͜ΕΒͷཁૉͷͱͳ͍ͬͯΔ
©2019 Wantedly, Inc. Prophet: model࡞ Time 2016-01-01 ~ 2018-12-31·ͰͷσʔλΛֶͬͯश͠, modelΛ࡞
2019-01-01 ~ 2019-07-31ͷ༧ଌͱ࣮ࡍͷΛൺֱ͠, modelͷੑೳΛ֬ೝ͢Δ
©2019 Wantedly, Inc. Prophet: modelධՁ 2016-01-01 ~ 2018-12-31·ͰͷσʔλΛֶͬͯश͠, modelΛ࡞ 2019-01-01
~ 2019-07-31ͷ༧ଌͱ࣮ࡍͷΛൺֱ͠, modelͷੑೳΛ֬ೝ͢Δ ฏۉ4.5%ͷޡࠩ(MAPE)
©2019 Wantedly, Inc. Prophet: ֤ཁૉͷ τϨϯυ, ༵ɾ݄ͷӨڹ, ॕͷӨڹͷՄࢹԽ ॱௐʹ Լ
3্݄ঢ trend holiday weekly yearly
©2019 Wantedly, Inc. Prophet: ΠϕϯτޮՌ ɾτϨϯυ H U ɾقઅੑ T
U ɾٳɾॕޮՌ I U ɾΠϕϯτΩϟϯϖʔϯ ɾٳॕ͚ͩͰͳ͘, ҙͷΠϕϯτΩϟϯϖʔϯͷޮՌऔΓೖΕΔ͜ͱ͕Ͱ͖Δ ɾॕͷ߹ͱಉ༷ʹ, Πϕϯτ͕͋ͬͨΛࢦఆ͢Δ͚ͩͰΑ͍ ɾΠϕϯτͷʹӨڹ͕େ͖͘มΘΔͷʹద༻͠ʹ͍͔͘ɾɾɾʁ ɾ͞Βʹ, ͦΕΒͷӨڹఆྔతʹࢉग़Ͱ͖Δ
©2019 Wantedly, Inc. Prophet: ֤ཁૉͷ τϨϯυ, ༵ɾ݄ͷӨڹ, ॕͷӨڹͷՄࢹԽ ॕԼ trend
holiday weekly yearly
©2019 Wantedly, Inc. Prophet: ΠϕϯτޮՌ ɾޡࠩͷେ͖͍݄ԿΒ͔ͷΠϕϯτޮՌ͕ߟྀͰ͖͍ͯͳ͍Մೳੑ ex) ѲͰ͖͍ͯͳ͍Ωϟϯϖʔϯ͕͋ͬͨ ɾυϝΠϯࣝΛۦͯ͠ΠϕϯτޮՌΛऔΓೖΕΔͷ͕ॏཁ ࠓճհͨ͠ػೳͷ߹,
ॕ͚ͩͰతΛຬͨ͢ਫ਼͕ಘΒΕͨ
©2019 Wantedly, Inc. Prophet: ׆༻ྫ ɾࠜڌ͕໌֬ͳඪઃఆ͕Ͱ͖Δ 9݄10%৳ͼΔ͕͋ΔͷͰ, վળʹΑͬͯ5%ϓϥε͠, ߹ܭ15%৳͢ ɾ࣮ࡍͷ݁Ռ͕Prophetͷ༧ଌΛԼճͬͨ
ػೳͷ͕ಷ͖͍ͬͯͯΔ͔͠Εͳ͍ͷͰରࡦΛଧͭ ɾ9݄͕࠷͕৳ͼͦ͏ ͦͷλΠϛϯάʹ߹ΘͤͯվળࢪࡦΩϟϯϖʔϯΛߦ͏
©2019 Wantedly, Inc. ɾ࣌ܥྻσʔλͷੑ࣭ ɾɾقઅੑ(पظੑ)ɾΠϕϯτޮՌ͕͍ࠞͬͯ͟Δ ɾProphetʹΑΔ༧ଌ ɾखܰʹ࣌ܥྻ༧ଌ͕Մೳ ɾυϝΠϯ͕ࣝ͋ΕΠϕϯτޮՌͷઃఆʹΑΓਫ਼্͕͕Δ ɾσʔλΛߏ͢ΔཁૉͷӨڹ͕ఆྔతʹΘ͔Δ Summary