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を使った時系列データ予測と機械学習モデルとの比較 / prophet-vs-ml
Search
Haruki Okuyama
October 27, 2019
Business
0
1.4k
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
時系列データにおいて, Prophetと3時間で作成した機械学習モデルとの精度比較
Haruki Okuyama
October 27, 2019
Tweet
Share
More Decks by Haruki Okuyama
See All by Haruki Okuyama
Prophetを使ったコスパの良い時系列データ予測 / prophet-use-cases
spring1018
0
110
Other Decks in Business
See All in Business
イグニション・ポイント株式会社/採用エントランスBook_2026
ignitionpointhr
2
180k
Claude Coworkで 非エンジニアも業務効率化しよう
suzakiyoshito
0
2.3k
Sol Naciente_Try Out_質問項目
solnaciente
0
2k
AIを"組織の武器"にする方法
tamoryo
0
130
ワンキャリア 会社説明資料 / Company Deck
onecareer
7
290k
クラウドネイティブ型 電子カルテとセキュリティ / Cloud-Native Electronic Medical Records and Security
henryofficial
1
280
難しすぎる組織(せかい)が僕をアジャイル好きの異端と呼ぶ
nb_rady
0
140
2025年度ICT職専門研修(海外派遣研修)報告書 No.3
tokyo_metropolitan_gov_digital_hr
1
370
SANU Regenerative Action Report 2026
sanu
0
7.7k
【DearOne】Dear Newest Member
hrm
2
16k
税理士法人マネイジブレーン採用のご案内.pdf
yukawamoee
0
2.4k
経営学とエンジニアリング、その共通点と活用法 / Commonalities Between Management Science and Engineering, and How to Leverage Them
nrslib
2
1k
Featured
See All Featured
Dominate Local Search Results - an insider guide to GBP, reviews, and Local SEO
greggifford
PRO
0
120
Design in an AI World
tapps
0
180
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
2
310
Heart Work Chapter 1 - Part 1
lfama
PRO
5
35k
Ten Tips & Tricks for a 🌱 transition
stuffmc
0
93
Deep Space Network (abreviated)
tonyrice
0
97
The Power of CSS Pseudo Elements
geoffreycrofte
82
6.2k
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.3k
A Soul's Torment
seathinner
5
2.6k
Joys of Absence: A Defence of Solitary Play
codingconduct
1
330
Git: the NoSQL Database
bkeepers
PRO
432
67k
4 Signs Your Business is Dying
shpigford
187
22k
Transcript
©2019 Wantedly, Inc. ProphetΛͬͨ࣌ܥྻσʔλ༧ଌͱ ػցֶशϞσϧͱͷൺֱ ML for Beginners! MeetUp #1
LTձ Oct 27, 2019 - Haruki Okuyama - @spring1018x
©2019 Wantedly, Inc. Self-Introduction •Haruki OkuyamaʢԞࢁ ݰكʣ •Chemistry Research (until
March 2019) •Wantedly, Inc. (since April 2019) •Recommendation Team • Mainly, Data Analysis
©2019 Wantedly, Inc. ͢͜ͱ ɾ౷ܭϞσϧͱػցֶशϞσϧͷ࣌ܥྻσʔλ༧ଌ ɾ࣌ܥྻ༧ଌϥΠϒϥϦProphetͷհ ͞ͳ͍͜ͱ ɾProphetͷৄࡉͳΞϧΰϦζϜ About this
talk
©2019 Wantedly, Inc. ɾֶशσʔλ(աڈ)ͱςετσʔλ(ະདྷ)ͷ͕ҟͳΔ ɾτϨϯυ͕͋Δͱ2ͭͷ͕ҟͳΔͷવ ɾػցֶशϞσϧΑΓ౷ܭϞσϧͷํ͕༧ଌਫ਼͕͍͍߹͋ͬͨΓ ͢ΔΒ͍͠* => ࣌ܥྻσʔλʹରͯ͠ػցֶशϞσϧͱ౷ܭϞσϧͷ༧ଌ݁ՌΛ ൺֱ͠,
ײ৮Λ͔֬Ί͍ͨʂ ࣌ܥྻσʔλͷ༧ଌͷ͠͞ *https://tjo.hatenablog.com/entry/2019/09/18/190000 https://t.co/S3BpRgtxUW?amp=1
©2019 Wantedly, Inc. ɾػցֶशϞσϧ ϥάಛྔΛத৺ʹ15ݸͷಛྔΛ࡞͠, LightGBMͰֶश ɾ౷ܭϞσϧ FacebookOSSͷProphetΛ༻ : ͋Δࢦඪ͕དྷ݄͍ͭ͘ʹͳΔ͔Λ༧ଌ͢Δ
* ͋Δͷ࣌Ͱ࣍ͷ݄ͷࢦඪΛ༧ଌ͍ͨ͠ ** 3࣌ؒ͘Β͍Ͱ༧ଌϞσϧΛ࡞͍ͨ͠
©2019 Wantedly, Inc. Prophetͬͯʁ 'BDFCPPLͷ044ඇઢܗͳ࣌ܥྻσʔλΛقઅੑٳޮՌΛऔΓೖΕͯ༧ଌ͢Δ ɾτϨϯυ g(t) ɾقઅੑ(पظੑ) s(t) ɾٳɾॕޮՌ
h(t) ɾΠϕϯτΩϟϯϖʔϯ Forecasting at Scale Sean J. Taylor∗† Facebook, Menlo Park, California, United States ࣌ܥྻσʔλΛ͜ΕΒͷཁૉͷͱߟ͑Δ (*ࣗݾ૬ؔߟྀ͍ͯ͠ͳ͍)
©2019 Wantedly, Inc. model࡞ Time 2016-01-01 ~ 2019-06-30·ͰͷσʔλΛֶͬͯश͠, modelΛ࡞ 2019-07-01
~ 2019-09-30ͰධՁ
©2019 Wantedly, Inc. modelධՁ Prophetͷํ͕ਫ਼͕ߴ͍ 2016-01-01 ~ 2019-06-30·ͰͷσʔλΛֶͬͯश͠, modelΛ࡞ 2019-07-01
~ 2019-09-30ͰධՁ Prophet ML MAPE: 12.2% MAPE: 10.6%
©2019 Wantedly, Inc. ͜͜·Ͱͷ·ͱΊ ɾτϨϯυɾपظੑͷڧ͍࣌ܥྻσʔλʹରͯ͠, ػցֶशϞσϧͷ߹, ࣌ؒͰਫ਼Λग़͢ͷ͍͠ ɾͬͱ࣌ؒΛ͔͚ΒΕΔ߹ಛྔઃܭɾόϦσʔγϣϯͷͷ༨ ͕͋ΔͷͰ࣌ܥྻϞσϧʹউͯͦ͏
©2019 Wantedly, Inc. Prophet: ֤ཁૉͷӨڹ ɾτϨϯυ g(t) ɾقઅੑ s(t) ɾٳɾॕޮՌ
h(t) ɾΠϕϯτΩϟϯϖʔϯ ɾٳॕ͚ͩͰͳ͘, ҙͷΠϕϯτΩϟϯϖʔϯͷޮՌऔΓೖΕΔ͜ͱ͕Ͱ͖Δ ɾ͞Βʹ, ֤ཁૉͷӨڹఆྔతʹࢉग़Ͱ͖Δ
©2019 Wantedly, Inc. Prophet: ֤ཁૉͷӨڹ τϨϯυ, ༵ɾ݄ͷӨڹ, ॕͷӨڹͷՄࢹԽ ॱௐʹ Լ
3্݄ঢ trend holiday weekly yearly ॕԼ
©2019 Wantedly, Inc. Prophetͷಛ ɾτϨϯυɾपظੑͷڧ͍࣌ܥྻσʔλʹ͍͍ͯΔ ɾ֤ͷӨڹ͕ఆྔతʹѲͰ͖ΔͷͰઆ໌ੑ͕ߴ͍ ɾύϥϝʔλνϡʔχϯάͦΕ΄Ͳඞཁͳ͍ ɾతͱ͢ΔࢦඪͷυϝΠϯࣝ͑͋͞ΕΑ͍. ྫ༵͑पظ͕͋Δ, ࿈ٳԼ͢Δetc
©2019 Wantedly, Inc. ɾ࣌ܥྻσʔλ༧ଌʹ͓͚ΔػցֶशϞσϧͱProphetͷൺֱ ɾઃఆ͔͚ΒΕΔ࣌ؒΛߟྀͯ͠બ͢Δ ɾProphetʹΑΔ༧ଌ ɾखܰʹ࣌ܥྻ༧ଌ͕Մೳ ɾυϝΠϯ͕ࣝ͋ΕपظɾΠϕϯτޮՌͷઃఆʹΑΓਫ਼্͕͕Δ ɾσʔλΛߏ͢ΔཁૉͷӨڹ͕ఆྔతʹΘ͔Δ Summary