Ubuntu | Scimpr Blog

市場テクニカル分析ライブラリta-libとPython用のラッパーTa-Libをインストールする

2017/11/27 -Python, Ubuntu
Python, python3, ta-lib

By: GotCredit – CC BY 2.0 ta-lib ta-libは市場のテクニカル分析用のライブラリ集. linuxの場合はソースコードをダウンロードしてコンパイルする. m …

Pythonではじめての機械学習２〜scikit-learnとpandasで決定木

2017/11/26 -Python, Ubuntu
pandas, Python, python3, scikit-learn, 機械学習

By: vaboo.com – CC BY 2.0 決定木(Decision Tree) 決定木は、木構造になっている分類器. ある特徴を持ったデータと分類結果から学習して、決定木を作成す …

pandasとmatplotlibで株式取引の可視化

2017/11/26 -Python, Ubuntu
matplotlib, pandas, Python, python3

By: sprklg – CC BY 2.0 可視化前回、Python3で株式売買のシミュレーション〜pandasでは、ランダムで売買するよりも成績が悪かった. その理由としては、いろい …

Python3で株式売買のシミュレーション〜pandas

2017/11/24 -Python, Ubuntu
pandas, Python, python3

By: Michael Gwyther-Jones – CC BY 2.0 株式売買シミュレーション株価データ集 for 日本株時系列データベクターで株価データ集を見つけて購入したので …

Pythonではじめての機械学習～scikit-learn、tensorflow

2017/04/16 -Python, Ubuntu
Python, scikit-learn, tensorflow, 機械学習

By: krheesy – CC BY 2.0 機械学習勉強しているところなので、間違っている箇所もあるかもしれません. 機械学習は、高度な数学知識を使って、多数のデータから、有用な特徴 …

Ubuntu Desktopで指紋認証〜Fingerprint GUI

2017/02/05 -Ubuntu
fingerprint-gui

By: Chris Costes – CC BY 2.0 Fingerprint GUI launchpad.net/~fingerprint/+archive/ubuntu/finger …

Let’s go Ubuntu Unity!

2017/01/30 -Ubuntu
unity

By: Marcin Wichary – CC BY 2.0 Ubuntu Unity Unityは、Ubuntuで開発されている統合デスクトップ環境. ゲームエンジンのあれとは違う. ノ …

企業レベルのコンテンツマネジメントシステムAlfresco Community5.1をubuntu server14.04にインストールしてみた

2016/04/24 -Ubuntu
Alfresco, Java

By: jenny downing – CC BY 2.0 Alfresco Community Alfrescoは、ECM(Enterprise Contents Management) …

zshの機能と設定まとめ

2016/03/20 -MacOSX, Ubuntu
zsh

By: Marsha Wheatley – CC BY 2.0 zsh機能の紹介ニコニコ動画古い動画だけど環境

echo $ZSH_VERSION                       [~]
5.0.8

1 2	echo $ZSH_VERSION [~] 5.0.8

co …

Ubuntu Server14.04にMediaWikiをインストール

2015/11/08 -Ubuntu
mediawiki, php, ubuntu

By: Cambodia4kids.org Beth Kanter – CC BY 2.0 MediaWikiとは MediaWikiは、ざっくりいうとWikipediaで使われているPH …

ElasticSearchで添付ファイルを検索対象にするプラグイン〜elasticsearch-mapper-attachments

2015/05/07 -Ubuntu
elasticsearch

By: Vinoth Chandar – CC BY 2.0 インストール公式でインストール済みのElasticSearchに対応するバージョンを確認しておく. elastic/elas …

Ubuntu14.04のElasticsearch1.5に日本語形態素解析プラグインKuromojiを追加する

2015/05/04 -Ubuntu
elasticsearch, ubuntu

By: Bùi Linh Ngân – CC BY 2.0 Kuromoji elastic/elasticsearch-analysis-kuromoji 公式ページでElasticse …

ubuntu server14.04にElasticSearchをインストール

2015/05/02 -Ubuntu
elasticsearch, Java

By: Dawn Huczek – CC BY 2.0 環境 Ubuntu 14.04.2 LTS (GNU/Linux 3.16.0-30-generic x86_64) JDK8をイン …

Ubuntu Server 12.04にJava8をインストール

2014/12/27 -Ubuntu
Java, ubuntu

By: Ed Schipul – CC BY 2.0 Java 8 Javaヘルプ・センター – Javaのインストール Ubuntu 12.04 LTSにOracle JDK …

Ubuntuのターミナルで将棋する～gpsshogi

2012/11/24 -Ubuntu
ubuntu

インストール

sudo apt-get install gpsshogi

1	sudo apt-get install gpsshogi

ヘルプ

$ gpsshogi -h

Search options:
  -i [ --initial-limit ] arg (=400)     initial limit of iterative deepening
  --deepening-step arg (=200)           step of iterative deepening
  -l [ --search-limit ] arg (=1400)     maximum limit of search
  -L [ --record-limit ] arg (=200)      minimum depth left of storing record
  -n [ --node-limit ] arg (=16000000)   maximum number of search nodes (tested 
                                        at each iteration)
  --node-count-hard-limit arg (=18446744073709551615)
                                        maximum number of search nodes (tested 
                                        at every nodes)
  -t [ --table-size ] arg (=4800000)    number of entries in table
  --check-table-size arg (=-1)          ignored.  just for backward 
                                        compatibility.
  --ignore-node-counts arg (=1)         ignore {node,checkmate} counts and 
                                        table size and continue search until 
                                        memory exhausts
  --draw-coef arg (=-1)                 preference for draw (prefer if 
                                        positive, escape if negative), relative
                                        to pawn value
  -N [ --num-cpus ] arg (=4)            num cpus for parallel search
  --memory-use-percent arg (=100)       percentage for memory use (normally 
                                        100)

Evaluation options:
  -e [ --eval-type ] arg (=test) evaluation function (test or progress
  --eval-data arg                filename for evaluation function
  --progress-file arg            filename for NewProgress data
  --eval-randomness arg (=0)     add random value generated by normal 
                                 distribution of a given standard deviation, to
                                 evaluation values

Match options:
  -b [ --black ] arg (=sente)           name of black player
  -w [ --white ] arg (=gote)            name of white player
  -T [ --time-left ] arg (=1500)        total time left
  -B [ --byoyomi ] arg (=0)             seconds for each move (byoyomi)
  -o [ --output-filename ] arg (=gpsshogi.csa)
                                        filename of game record
  -f [ --initial-position ] arg         csa file of initial position
  -R [ --no-table-reuse ]               no effect (preserved only for backward 
                                        compatibility)
  --save-pv arg (=1)                    use pv of previous search results
  -c [ --csa ]                          use csa protocol, instead of gnushogi 
                                        compatible mode
  -a [ --alphabeta ]                    use alphabeta, instead of mtd(f)
  -r [ --random ]                       random playing
  -s [ --sente ]                        computer play first (second if not 
                                        specified)
  -P [ --opponent-time ]                search while the opponent is thinking
  -x [ --move-with-comment ]            send move with comment (this is a 
                                        private extension to CSA protocol)

Opening options:
  -K [ --kisen-file ] arg (=/usr/share/gpsshogi-data/data/kisen/01.kif)
                                      kisen file for opening book (unused 
                                      unless kisen-id is specified)
  -k [ --kisen-id ] arg (=-1)         id of kisen record for opening book 
                                      (enabled if positive)
  --csa-file arg                      csa file for opening book
  --opening-file arg                  file for opening book (used for normal 
                                      games)
  --no-opening-book                   do not use opening book
  -m [ --book-moves ] arg (=30)       maximum depth traced in book
  --enable-determinate-book arg (=0)  if a specified value (N) > 0, a move is
                                      selected among the top N weighted moves
                                      with a probability propotional to each 
                                      move's weight (default 0 [disabled])
  --weight-initial-coef arg (=16)     weight coefficient to the top moves, 
                                      which is used to filter moves only for 
                                      the initial one.
  --weight-coef arg (=10)             weight coefficient to the top moves, 
                                      which is used to filter moves except 
                                      the initial one.

Other options:
  --benchmark               test search performance
  --benchmark-single        test search performance
  --benchmark-more arg (=0) number of problems for benchmark
  --sleep-at-exit arg (=0)  seconds of sleeping at exit
  --health-check            test whether data files are properly placed
  -h [ --help ]             produce help message
  -v [ --verbose ]          produce verbose output
  --version                 show version info

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

46

47

48

49

50

51

52

53

54

55

56

57

58

59

60

61

62

63

64

65

66

67

68

69

70

71

72

73

74

75

76

77

78

79

80

81

82

83

84

85

$ gpsshogi -h

Search options:

-i [ --initial-limit ] arg (=400) initial limit of iterative deepening

--deepening-step arg (=200) step of iterative deepening

-l [ --search-limit ] arg (=1400) maximum limit of search

-L [ --record-limit ] arg (=200) minimum depth left of storing record

-n [ --node-limit ] arg (=16000000) maximum number of search nodes (tested

at each iteration)

--node-count-hard-limit arg (=18446744073709551615)

maximum number of search nodes (tested

at every nodes)

-t [ --table-size ] arg (=4800000) number of entries in table

--check-table-size arg (=-1) ignored. just for backward

compatibility.

--ignore-node-counts arg (=1) ignore {node,checkmate} counts and

table size and continue search until

memory exhausts

--draw-coef arg (=-1) preference for draw (prefer if

positive, escape if negative), relative

to pawn value

-N [ --num-cpus ] arg (=4) num cpus for parallel search

--memory-use-percent arg (=100) percentage for memory use (normally

100)

Evaluation options:

-e [ --eval-type ] arg (=test) evaluation function (test or progress

--eval-data arg filename for evaluation function

--progress-file arg filename for NewProgress data

--eval-randomness arg (=0) add random value generated by normal

distribution of a given standard deviation, to

evaluation values

Match options:

-b [ --black ] arg (=sente) name of black player

-w [ --white ] arg (=gote) name of white player

-T [ --time-left ] arg (=1500) total time left

-B [ --byoyomi ] arg (=0) seconds for each move (byoyomi)

-o [ --output-filename ] arg (=gpsshogi.csa)

filename of game record

-f [ --initial-position ] arg csa file of initial position

-R [ --no-table-reuse ] no effect (preserved only for backward

compatibility)

--save-pv arg (=1) use pv of previous search results

-c [ --csa ] use csa protocol, instead of gnushogi

compatible mode

-a [ --alphabeta ] use alphabeta, instead of mtd(f)

-r [ --random ] random playing

-s [ --sente ] computer play first (second if not

specified)

-P [ --opponent-time ] search while the opponent is thinking

-x [ --move-with-comment ] send move with comment (this is a

private extension to CSA protocol)

Opening options:

-K [ --kisen-file ] arg (=/usr/share/gpsshogi-data/data/kisen/01.kif)

kisen file for opening book (unused

unless kisen-id is specified)

-k [ --kisen-id ] arg (=-1) id of kisen record for opening book

(enabled if positive)

--csa-file arg csa file for opening book

--opening-file arg file for opening book (used for normal

games)

--no-opening-book do not use opening book

-m [ --book-moves ] arg (=30) maximum depth traced in book

--enable-determinate-book arg (=0) if a specified value (N) > 0, a move is

selected among the top N weighted moves

with a probability propotional to each

move's weight (default 0 [disabled])

--weight-initial-coef arg (=16) weight coefficient to the top moves,

which is used to filter moves only for

the initial one.

--weight-coef arg (=10) weight coefficient to the top moves,

which is used to filter moves except

the initial one.

Other options:

--benchmark test search performance

--benchmark-single test search performance

--benchmark-more arg (=0) number of problems for benchmark

--sleep-at-exit arg (=0) seconds of sleeping at exit

--health-check test whether data files are properly placed

-h [ --help ] produce help message

-v [ --verbose ] produce verbose output

--version show version info

ゲームしてみる [crayon- …

Ubuntu Server12.04にRedmine2.0.3をインストール

2012/08/06 -Redmine, Redmineの動作環境, Ubuntu
ubuntu

環境 Ubuntu Server12.04にrvmでrubyをインストール準備 RMagickの環境を準備する。

sudo apt-get install imagemagick libmagick++-dev

1	sudo apt-get install imagemagick libmagick++-dev

MySQLを準備 …

「 Ubuntu 」一覧

Redmine Backlogsではじめてのスクラム

RubyでWebを操作できるMechanizeの利用例を集めてみた

Rails4でフォーム要素を動的に追加したり削除したり〜nested_form

Redmine2.0にファイル管理プラグインを導入～redmine_dmsf

ActiveRecord使い方まとめ

TortoiseSVNをsvn+sshリモートリポジトリで使う準備

Redmineのトラッカー、チケットのステータス、ワークフローを考える

d3.jsでグラフ描画するときの枠組み作成のメモ

MSWord2010で領収書を差し込み印刷

VimFilerはじめました

「 Ubuntu 」 一覧

「 Ubuntu 」一覧