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
32
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
170
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
AndroidデバイスにFTPサーバを建立する
e10dokup
0
250
OpenID Connect for Identity Assurance の概要と翻訳版のご紹介 / 20250219-BizDay17-OIDC4IDA-Intro
oidfj
0
280
Developers Summit 2025 浅野卓也(13-B-7 LegalOn Technologies)
legalontechnologies
PRO
0
720
Classmethod AI Talks(CATs) #16 司会進行スライド(2025.02.12) / classmethod-ai-talks-aka-cats_moderator-slides_vol16_2025-02-12
shinyaa31
0
110
関東Kaggler会LT: 人狼コンペとLLM量子化について
nejumi
3
580
PHPで印刷所に入稿できる名札データを作る / Generating Print-Ready Name Tag Data with PHP
tomzoh
0
110
一度 Expo の採用を断念したけど、 再度 Expo の導入を検討している話
ichiki1023
1
170
Classmethod AI Talks(CATs) #17 司会進行スライド(2025.02.19) / classmethod-ai-talks-aka-cats_moderator-slides_vol17_2025-02-19
shinyaa31
0
120
利用終了したドメイン名の最強終活〜観測環境を育てて、分析・供養している件〜 / The Ultimate End-of-Life Preparation for Discontinued Domain Names
nttcom
2
190
トラシューアニマルになろう ～開発者だからこそできる、安定したサービス作りの秘訣～
jacopen
2
2k
CZII - CryoET Object Identification 参加振り返り・解法共有
tattaka
0
370
モノレポ開発のエラー、誰が見る？Datadog で実現する適切なトリアージとエスカレーション
biwashi
6
810

Featured

See All Featured
How to Think Like a Performance Engineer
csswizardry
22
1.3k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
9
440
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
507
140k
Git: the NoSQL Database
bkeepers
PRO
427
64k
Building Better People: How to give real-time feedback that sticks.
wjessup
367
19k
Java REST API Framework Comparison - PWX 2021
mraible
28
8.4k
Typedesign – Prime Four
hannesfritz
40
2.5k
Building Your Own Lightsaber
phodgson
104
6.2k
Bash Introduction
62gerente
611
210k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
3.7k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
40
2k
Facilitating Awesome Meetings
lara
52
6.2k

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)