Upgrade to Pro — share decks privately, control downloads, hide ads and more …

ネットワークグラフを作成する

kunou
July 06, 2018
Technology
0
49

 ネットワークグラフを作成する

kunou

July 06, 2018
Tweet

More Decks by kunou

See All by kunou
GANについて
kunou
0
430
AIか何かについて.pdf
kunou
0
33
Pythonを書いていておーマジかーと感じたあれこれ
kunou
1
720
Rubyで機械学習してみた
kunou
1
1.1k
ZIP!!
kunou
0
180
zip
kunou
0
510
Make Mouse
kunou
0
630
RubyのProcのあれをこうしました
kunou
0
94
esm lt Clojure like threading macro
kunou
0
430

Other Decks in Technology

See All in Technology
AI Agent時代なのでAWSのLLMs.txtが欲しい！
watany
2
200
システム・ML活用を広げるdbtのデータモデリング / Expanding System & ML Use with dbt Modeling
i125
1
320
Amazon Aurora のバージョンアップ手法について
smt7174
2
130
EDRの検知の仕組みと検知回避について
chayakonanaika
11
4.6k
組織におけるCCoEの役割とAWS活用事例
nrinetcom
PRO
4
120
プロダクトエンジニア 360°フィードバックを実施した話
hacomono
PRO
0
140
Share my, our lessons from the road to re:Invent
naospon
0
140
AWSではじめる Web APIテスト実践ガイド / A practical guide to testing Web APIs on AWS
yokawasa
7
600
急成長する企業で作った、エンジニアが輝ける制度/ 20250227 Rinto Ikenoue
shift_evolve
0
100
Autonomous Database Serverless 技術詳細 / adb-s_technical_detail_jp
oracle4engineer
PRO
17
45k
遷移の高速化 ヤフートップの試行錯誤
narirou
6
1.1k
設計を積み重ねてシステムを刷新する
sansantech
PRO
0
160

Featured

See All Featured
KATA
mclloyd
29
14k
How to train your dragon (web standard)
notwaldorf
91
5.9k
Stop Working from a Prison Cell
hatefulcrawdad
267
20k
Fantastic passwords and where to find them - at NoRuKo
philnash
51
3k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
3.7k
Fireside Chat
paigeccino
34
3.2k
The Art of Programming - Codeland 2020
erikaheidi
53
13k
Building Applications with DynamoDB
mza
93
6.2k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
129
19k
Typedesign – Prime Four
hannesfritz
40
2.5k
ReactJS: Keep Simple. Everything can be a component!
pedronauck
666
120k
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.1k

Transcript

  1. ωοτϫʔΫάϥϑΛੜ ੒͢Δ(ClojureͰ) 2018/6/15 ITS-training-camp

  2. ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ) ͜͏͍͏ਤΛੜ੒͠·͢

  3. ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ) ͜͏͍͏ਤΛੜ੒͠·͢

  4. DEMO ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  5. ίʔυશମ (ns gen-network.core) (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as

    str]) (require '[loom.graph :as lg]) (require '[loom.io :as lio]) (def data-text “data.txt") (def keywords ["a" "b" "c" "d"]) (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", ")))) (defn word-relation [key list] (->> list (filter (fn [words] (some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) (defn main [] (->> keywords (reduce (fn [accum keyword] (concat accum (word-relation keyword data-list))) []) )) ; (remove (fn [x] (<= (nth x 2) 4))) (apply lg/weighted-graph) ((fn [graph] (lio/view graph :alg :fdp))))) (main) ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  6. ϑΝΠϧΛಡΈࠐΉ $ cat data.txt a, b c, d a, b

    a, b a, b a, e c, d a, e a, d c, b e, d ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  7. ϑΝΠϧΛಡΈࠐΉ (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as str]) (def

    data-text "data.txt") (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", "))))
 
 ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  8. ϑΝΠϧΛಡΈࠐΉ (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as str]) (def

    data-text "data.txt") (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", "))))
 => ([“a” “b”] [“c” “d”] [“a” “b”] [“a” “b”] [“a” “b”] [“a” “e”] [“c” “d”] [“a” “e”] [“a” “d”] [“c” “b”] [“e" “d"]) ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  9. ϑΝΠϧΛಡΈࠐΉ (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as str]) (def

    data-text "data.txt") (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", "))))
 => ([“a” “b”] [“c” “d”] [“a” “b”] [“a” “b”] [“a” “b”] [“a” “e”] [“c” “d”] [“a” “e”] [“a” “d”] [“c” “b”] [“e" “d"]) ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ) JavaͷΫϥεΛΠϯϙʔτ

  10. ϑΝΠϧΛಡΈࠐΉ (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as str]) (def

    data-text "data.txt") (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", "))))
 => ([“a” “b”] [“c” “d”] [“a” “b”] [“a” “b”] [“a” “b”] [“a” “e”] [“c” “d”] [“a” “e”] [“a” “d”] [“c” “b”] [“e" “d"]) clojure.stringΛ࢖͑ΔΑ͏ʹ͢Δ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  11. ϑΝΠϧΛಡΈࠐΉ (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as str]) (def

    data-text "data.txt") (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", "))))
 => ([“a” “b”] [“c” “d”] [“a” “b”] [“a” “b”] [“a” “b”] [“a” “e”] [“c” “d”] [“a” “e”] [“a” “d”] [“c” “b”] [“e" “d"]) FileReaderΛॳظԽ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  12. ϑΝΠϧΛಡΈࠐΉ (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as str]) (def

    data-text "data.txt") (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", "))))
 => ([“a” “b”] [“c” “d”] [“a” “b”] [“a” “b”] [“a” “b”] [“a” “e”] [“c” “d”] [“a” “e”] [“a” “d”] [“c” “b”] [“e" “d"]) BuffReaderΛॳظԽ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  13. ϑΝΠϧΛಡΈࠐΉ (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as str]) (def

    data-text "data.txt") (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", "))))
 => ([“a” “b”] [“c” “d”] [“a” “b”] [“a” “b”] [“a” “b”] [“a” “e”] [“c” “d”] [“a” “e”] [“a” “d”] [“c” “b”] [“e" “d"]) ߦ͝ͱʹ෼͚Δ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  14. ϑΝΠϧΛಡΈࠐΉ (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as str]) (def

    data-text "data.txt") (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", "))))
 => ([“a” “b”] [“c” “d”] [“a” “b”] [“a” “b”] [“a” “b”] [“a” “e”] [“c” “d”] [“a” “e”] [“a” “d”] [“c” “b”] [“e" “d"]) ߦΛ``,``Ͱ෼͚ͯVectorʹ͢Δ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  15. ಡΈࠐΜͩ݁Ռ͔Β૊Έ߹Θͤճ਺Λ਺͑Δ (defn word-relation [key list] (->> list (filter (fn [words]

    (some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  16. ಡΈࠐΜͩ݁Ռ͔Β૊Έ߹Θͤճ਺Λ਺͑Δ (defn word-relation [key list] (->> list (filter (fn [words]

    (some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) (word-relation "a" data-list) => (["a" "b" 4] ["a" "e" 2] ["a" "d" 1]) ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  17. ಡΈࠐΜͩ݁Ռ͔Β૊Έ߹Θͤճ਺Λ਺͑Δ (defn word-relation [key list] (->> list (filter (fn [words]

    (some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) => ([“a” “b”] [“c” “d”] [“a” “b”] [“a” “b”] [“a” “b”] [“a” “e”] [“c” “d”] [“a” “e”] [“a” “d”] [“c” “b”] [“e" “d"]) ͜͜·Ͱ࣮ߦ͢Δ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  18. ಡΈࠐΜͩ݁Ռ͔Β૊Έ߹Θͤճ਺Λ਺͑Δ (defn word-relation [key list] (->> list (filter (fn [words]

    (some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) => (["a" "b"] ["a" "b"] ["a" "b"] ["a" "b"] ["a" "e"] ["a" "e"] ["a" "d"]) ͜͜·Ͱ࣮ߦ͢Δ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  19. ಡΈࠐΜͩ݁Ռ͔Β૊Έ߹Θͤճ਺Λ਺͑Δ (defn word-relation [key list] (->> list (filter (fn [words]

    (some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) => (("b") ("b") ("b") ("b") ("e") ("e") ("d")) ͜͜·Ͱ࣮ߦ͢Δ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  20. ಡΈࠐΜͩ݁Ռ͔Β૊Έ߹Θͤճ਺Λ਺͑Δ (defn word-relation [key list] (->> list (filter (fn [words]

    (some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) => ("b" "b" "b" "b" "e" "e" "d") ͜͜·Ͱ࣮ߦ͢Δ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  21. ಡΈࠐΜͩ݁Ռ͔Β૊Έ߹Θͤճ਺Λ਺͑Δ (defn word-relation [key list] (->> list (filter (fn [words]

    (some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) => {"b" ["b" "b" "b" "b"], "e" ["e" "e"], "d" ["d"]} ͜͜·Ͱ࣮ߦ͢Δ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  22. ಡΈࠐΜͩ݁Ռ͔Β૊Έ߹Θͤճ਺Λ਺͑Δ (defn word-relation [key list] (->> list (filter (fn [words]

    (some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) => (["a" "b" 4] ["a" "e" 2] ["a" "d" 1]) ͜͜·Ͱ࣮ߦ͢Δ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  23. ޙ͸ϥΠϒϥϦͷྗͰ (defn main [] (->> keywords (reduce (fn [accum keyword]

    (concat accum (word-relation keyword data-list))) []) ; (remove (fn [x] (<= (nth x 2) 4))) (apply lg/weighted-graph) ((fn [graph] (lio/view graph :alg :fdp))))) ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  24. ޙ͸ϥΠϒϥϦͷྗͰ (defn main [] (->> keywords (reduce (fn [accum keyword]

    (concat accum (word-relation keyword data-list))) []) ; (remove (fn [x] (<= (nth x 2) 4))) (apply lg/weighted-graph) ((fn [graph] (lio/view graph :alg :fdp))))) => (["a" "b" 4] ["a" "e" 2] ["a" "d" 1] [“b" "a" 4] ["b" "c" 1] ["c" "d" 2] ["c" "b" 1] [“d" "c" 2] ["d" "a" 1] ["d" "e" 1]) ͜͜·Ͱ࣮ߦ͢Δ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  25. ޙ͸ϥΠϒϥϦͷྗͰ (defn main [] (->> keywords (reduce (fn [accum keyword]

    (concat accum (word-relation keyword data-list))) []) ; (remove (fn [x] (<= (nth x 2) 4))) (apply lg/weighted-graph) ((fn [graph] (lio/view graph :alg :fdp))))) άϥϑσʔλΛ࡞੒ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  26. ޙ͸ϥΠϒϥϦͷྗͰ (defn main [] (->> keywords (reduce (fn [accum keyword]

    (concat accum (word-relation keyword data-list))) []) ; (remove (fn [x] (<= (nth x 2) 4))) (apply lg/weighted-graph) ((fn [graph] (lio/view graph :alg :fdp))))) ഑ஔΛࢦఆͯ͠ඳը ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  27. ίʔυશମ (ns gen-network.core) (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as

    str]) (require '[loom.graph :as lg]) (require '[loom.io :as lio]) (def data-text “data.txt") (def keywords ["a" "b" "c" "d"]) (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", ")))) (defn word-relation [key list] (->> list (filter (fn [words] (some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) (defn main [] (->> keywords (reduce (fn [accum keyword] (concat accum (word-relation keyword data-list))) []) )) ; (remove (fn [x] (<= (nth x 2) 4))) (apply lg/weighted-graph) ((fn [graph] (lio/view graph :alg :fdp))))) (main) ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  28. ·ͱΊ ͪΐͬͱͨ͠πʔϧΛ࡞Δͱ͖ͳͲɺؔ਺ܕݴޠΛ࢖͏ͱ୹͘εο ΩϦ͔͚·͢ɻ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  29. ·ͱΊ ͪΐͬͱͨ͠πʔϧΛ࡞Δͱ͖ͳͲɺؔ਺ܕݴޠΛ࢖͏ͱ୹͘εο ΩϦ͔͚·͢ɻ Ruby΍PythonΛ࢖ͬͯ΋୹͘ॻ͚·͚͢ͲͶɻ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)