Nix as OS X Package Manager
Nix as OS X Package Manager May 25, 2016 3 min read #nix #os x #technology #tip Power users on OS X are familiar with Homebrew or MacPorts for installing and managing software packages conveniently. Yet, those two well-known tools are not the exclusive players. There is a growing interest in Nix, particularly for its use on OS X. Package management using Nix is quite simple and intuitive. It does
Gradient Boosting Decision Treeã§ã®ç‰¹å¾´é¸æŠž in R | 分æžã®ãŠã¯ãªã—。
Gradient Boosting Decision Tree(GBDT)を勉強ã—ãŸã®ã§ã€ãã®æ¦‚è¦ã¨Rã§ã®ãƒ‘ッケージã®ç°¡å˜ãªä½¿ã„方を乗ã£ã‘ã¦ãŠãã¾ã™ã€‚ 1. ãã‚‚ãã‚‚GBDTã£ã¦ãªã‚“ã よã£ã¦ã„ã†è©±ã€‚ å˜ç´”ã«è¨€ãˆã°ã€è¤‡æ•°ã®æ±ºå®šæœ¨ã‚’作æˆã—ã¦ã€é›†å›£ã§å¦ç¿’ã•ã›ã‚‹æ–¹æ³•ã®äº‹ã§ã™ã€‚ １本決定木を作りã€ä¸Šæ‰‹ãモデルã§èª¬æ˜ŽãŒå‡ºæ¥ãªã‹ã£ãŸobservationã«å¯¾ã—ã¦é‡ã¿ã‚’付ã‘ã€é‡ã¿ã®ã¤ã„ãŸçŠ¶æ…‹ã§æ¬¡ã®æœ¨ã‚’作りã€ã¾ãŸé‡ã¿ã‚’付ã‘ã¦ãƒ»ãƒ»ãƒ» ã¨ã„ã†ã‚¹ãƒ†ãƒƒãƒ—を指定ã—ãŸæœ¬æ•°åˆ†ã ã‘ç¹°ã‚Šè¿”ã—ã¾ã™ã€‚ 誤差ã«å¯¾ã—ã¦å¦ç¿’ã—ãªãŠã—ã¦ãれるã®ã§ã€æ±ºå®šæœ¨ã‚ˆã‚Šã‚‚ã£ã¨è‰¯ã„モデルãŒå‡ºæ¥ä¸ŠãŒã‚Šã¾ã™ã€‚ ç†è«–ã®è©³ç´°ã¯ã“ã¡ã‚‰ã®æœ¬ã‚’å‚考ã«ã—ã¦ã„ãŸã ã‘ã‚Œã°ã¨ã€‚ 英語版ã¯è‘—者サイトã§ç„¡æ–™å…¬é–‹ã•ã‚Œã¦ã„ã¾ã™ã€‚英語大丈夫ãªäººã¯ã“ã¡ã‚‰ã‚’å‚ç…§ã™ã‚‹ã¨ã‚ˆã„ã‹ã¨ã€‚ http://statweb.stanford.edu/~tibs/ElemStatLearn/ ã‚ã¨ã“ã®ã‚¤
Welcome to CVXPY — CVXPY 0.4.11 documentation
Welcome to CVXPY� Join the CVXPY mailing list and Gitter chat for the best CVXPY support! Try the new, improved CVXPY 1.0, available here. Please report any bugs you find! CVXPY is a Python-embedded modeling language for convex optimization problems. It allows you to express your problem in a natural way that follows the math, rather than in the restrictive standard form required by solvers. For e
Welcome — Theano 0.9.0 documentation
Welcome¶ Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features: tight integration with NumPy – Use numpy.ndarray in Theano-compiled functions. transparent use of a GPU – Perform data-intensive computations much faster than on a CPU. efficient symbolic differentiation – Theano does your d
ggplot | Home
ggplot from Å·hat ggplot is a plotting system for Python based on R's ggplot2 and the Grammar of Graphics. It is built for making profressional looking, plots quickly with minimal code. ggplot is easy to learn from ggplot import * ggplot(aes(x='date', y='beef'), data=meat) +\ geom_line() +\ stat_smooth(colour='blue', span=0.2) ggplot is fun ggplot(diamonds, aes(x='carat', y='price', color='cut')) +
GitHub - hugapi/hug: Embrace the APIs of the future. Hug aims to make developing APIs as simple as possible, but no simpler.
Read Latest Documentation - Browse GitHub Code Repository hug aims to make developing Python driven APIs as simple as possible, but no simpler. As a result, it drastically simplifies Python API development. hug's Design Objectives: Make developing a Python driven API as succinct as a written definition. The framework should encourage code that self-documents. It should be fast. A developer should
Haskellã§import文をソートã™ã‚‹ãƒ—ラグイン vim-haskell-sort-import を作りã¾ã—㟠- プãƒã‚°ãƒ©ãƒ モグモグ
Go言語ã«ã¯ã€gofmtã¨ã„ã†ã‚³ãƒ¼ãƒ‰ãƒ•ã‚©ãƒ¼ãƒžãƒƒã‚¿ãƒ¼ãŒã‚ã‚Šã¾ã™ã€‚ 標準ライブラリーã§å‚™ãˆã¦ãŠã‚Šã€ã“ã®ãƒ•ã‚©ãƒ¼ãƒžãƒƒã‚¿ãƒ¼ã‚’ã‹ã‘ã‚‹ã“ã¨ã‚’åŠã°å¼·åˆ¶ã™ã‚‹ã“ã¨ã«ã‚ˆã‚Šã€Goã§æ›¸ã‹ã‚ŒãŸã‚³ãƒ¼ãƒ‰ã¯ã©ã‚Œã‚‚統一的ãªã‚¹ã‚¿ã‚¤ãƒ«ã‚’ã—ã¦ã„るよã†ã«è¦‹ãˆã¾ã™ã€‚ gofmtã«ã¯æ§˜ã€…ãªæ©Ÿèƒ½ãŒã‚ã‚Šã¾ã™ãŒã€ç‰¹ã«importã—ã¦ã„るモジュールをソートã—ã¦ãれるã®ãŒä¾¿åˆ©ã ãªã¨æ€ã„ã¾ã™ã€‚ フォーマッターãŒimportã®ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã‚’ソートã—ã¦ãれるã®ã¯ã¨ã¦ã‚‚便利ã§ã™ã€‚ 第一ã«ã€ã©ã®ãƒ•ã‚¡ã‚¤ãƒ«ã«ãŠã„ã¦ã‚‚ã‚るモジュールã¯ã ã„ãŸã„åŒã˜å ´æ‰€ã«ã‚ã‚Šã¾ã™ã€‚ 例ãˆã°bufioモジュールã¯ä¸Šã®ã»ã†ã§ã€osモジュールã¯ä¸‹ã®ã»ã†ãŒã¨ã„ã£ãŸæ„Ÿã˜ã§ã™ã€‚ 第二ã«ã€ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã‚’è¿½åŠ ã™ã‚‹ã¨ãã«ã©ã“ã«è¿½åŠ ã™ã‚Œã°ã‚ˆã„ã‹ã¨ã„ã†ã“ã¨ã«æ°—を回ã•ãªãã¦ã™ã¿ã¾ã™ã€‚ 何ã‹æ–°ã—ã„ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã‚’è¿½åŠ ã—よã†ã¨ã„ã†æ™‚ã«ã€ã©ã“ã«è¿½åŠ ã™ã‚‹ã‹ã«ã¤ã„ã¦ç§ãŸã¡ã¯ã‹ãªã‚Šæ°—を使ã£ã¦ã„るよã†ã«æ€ã„ã¾ã™ã€‚ ã‚‚ã¡ã‚ã‚“ã€i
25 Best Apps for Learning English [Updated for 2024] | FluentU English Blog
When it comes to learning English, few can beat the convenience and power of mobile apps. These digital learning tools make it easy to study English “on the go†in lots of unique and interesting ways. Let’s delve into this list of the 25 best apps for learning English, all tried and tested by the team at FluentU. Download: This blog post is available as a convenient and portable PDF that you can t
![25 Best Apps for Learning English [Updated for 2024] | FluentU English Blog](https://cdn-ak-scissors.b.st-hatena.com/image/square/6107477684508e08bf2a185b3aba06850c782a96/height=288;version=1;width=512/https%3A%2F%2Fwww.fluentu.com%2Fblog%2Fwp-content%2Fuploads%2F2023%2F02%2FApps-for-Learning-English-1024x683-1.jpg)
今年よã‹ã£ãŸç¿’æ…£: ライフãƒã‚°åŽé›†ãŠã‚ˆã³å¯è¦–化 - yasuhisa's blog
データを眺ã‚ã‚‹ã®ãŒå¥½ã åŽé›†ã—ã¦ã„ã‚‹æƒ…å ± 実ç¾æ–¹æ³• データã‹ã‚‰åˆ†ã‹ã£ãŸçŸ¥è¦‹(?) 今後 年末ãªã®ã§ã€ä»Šå¹´è²·ã£ã¦ã‚ˆã‹ã£ãŸã‚‚ã®ã«å¼•ã続ãã€ä»Šå¹´ã‚„ã£ã¦ã¿ã¦ã‚ˆã‹ã£ãŸç¿’æ…£ã«ã¤ã„ã¦æ›¸ã„ã¦ã¿ãŸã„ã¨æ€ã„ã¾ã™ã€‚ データを眺ã‚ã‚‹ã®ãŒå¥½ã 昔ã‹ã‚‰ãƒ‡ãƒ¼ã‚¿ã‚’眺ã‚ã‚‹ã®ã¯å¥½ãã ã£ãŸã‚“ã§ã™ãŒã€ä»Šå¹´ã®5月ãらã„ã‹ã‚‰è‡ªåˆ†ã«é–¢ã™ã‚‹ãƒ‡ãƒ¼ã‚¿ã‚’ã¨ã«ã‹ãåŽé›†ã—ã¦ã¿ã¾ã—ãŸã€‚å¯è¦–化ã™ã‚‹ã“ã¨ã§ä½•ã‹æœ‰ç›Šãªè¦–点ã ã£ãŸã‚Šã€ç”Ÿæ´»ã®æ”¹å–„点ãŒè¦‹ã¤ã‹ã‚‹ã®ã§ã¯ãªã„ã‹ã€ã¨ã„ã†ç›®çš„ã§ã™ã€‚色んãªãƒ‡ãƒ¼ã‚¿ã‚’集ã‚ã¾ãã£ãŸçµæžœã€ä»¥ä¸‹ã®ã‚ˆã†ãªã‚°ãƒ©ãƒ•ãŒã§ãã‚ãŒã‚Šã¾ã™ã€‚ã¡ã‚‡ã£ã¨ç”»åƒãŒå°ã•ã„ã§ã™ãŒã€æ¯Žæ—¥ã®æ©ã„ãŸæ©æ•°ã‚„体é‡ã€æ°—温ã€éŒ²ç”»ã—ãŸç•ªçµ„åã€è‡ªå®…マシンã®è² è·çŠ¶æ³ãªã©ãŒè¼‰ã£ã¦ã„ã¾ã™ã€‚ åŽé›†ã—ã¦ã„ã‚‹æƒ…å ± 上ã®ç”»åƒã§ã¯ã¨ã‚Šã‚ãˆãšBlogã«ä¸Šã’れるよã†ãªãƒ‡ãƒ¼ã‚¿ã—ã‹è¦‹ã›ã¦ã„ãªã„ã§ã™ãŒã€åŽé›†ã—ã¦ã„ã‚‹æƒ…å ±ã¨ã—ã¦ã¯ä»¥ä¸‹ã®ã‚ˆã†ãªã‚‚ã®ãŒã‚ã‚Šã¾ã™ã€‚使用ã—ã¦ã„るスクリプトã§å…¬é–‹ã§ãã‚‹ã‚‚ã®ã¯githu
Jupyter ã‹ã‚‰è¦‹ãŸ Treasure Data ã®ä½¿ã„æ–¹ - Qiita
Jupyter + Pandas-TD ã«ã¤ã„ã¦ä½•ã‹æ›¸ã“ã†ã¨æ€ã£ã¦ã„ãŸã¨ã“ã‚ã€Cookpad ã®æœ‰è³€ã•ã‚“ã«ã‚ˆã‚‹ç´ 晴らã—ã„紹介記事ãŒï¼æµã‚Œã«ä¾¿ä¹—ã—ã¦ã€ã“ã“ã§ã¯ Pandas-TD ã®ä½¿ã„方をã„ãã¤ã‹ç´¹ä»‹ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ データã«ç´ æ—©ãアクセスã™ã‚‹ãŸã‚ã« Pandas 㨠Treasure Data を組ã¿åˆã‚ã›ã‚‹ãŸã‚ã«ã‚¹ã‚¿ãƒ¼ãƒˆã—㟠Pandas-TD ã§ã™ãŒã€æœ€è¿‘ã¯ã©ã¡ã‚‰ã‹ã¨ã„ã†ã¨ã‚¤ãƒ³ã‚¿ãƒ©ã‚¯ãƒ†ã‚£ãƒ–ãªãƒ‡ãƒ¼ã‚¿æŽ¢ç´¢ã‚’楽ã«ã™ã‚‹ãŸã‚ã«é–‹ç™ºã‚’続ã‘ã¦ã„ã¾ã™ã€‚ãã®å…¸åž‹ãŒãƒžã‚¸ãƒƒã‚¯é–¢æ•°ã§ã€Jupyter ã‚’é–‹ã„ã¦ã™ãクエリを実行ã—ãŸã„ã¨ãã«é‡å®ã—ã¾ã™ã€‚ 時間を掛ã‘ã¦ãƒ‡ãƒ¼ã‚¿åˆ†æžã™ã‚‹ãªã‚‰ã€ç´ ã® Pandas 関数を使ã£ã¦ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã™ã‚‹æ–¹ãŒã„ã„ã®ã§ã™ãŒã€ã¡ã‚‡ã£ã¨ã—ãŸãƒã‚°ã®èª¿æŸ»ã®ãŸã³ã« Python ã§ã‚³ãƒ¼ãƒ‰ã‚’書ãã®ã‚‚é¢å€’ã§ã™ã€‚自動化ã§ãã‚‹ã¨ã“ã‚ã¯è‡ªå‹•åŒ–ã—ã€ãªã‚‹ã¹ãç°¡æ½”ã«æ¬²ã—ã„çµæžœã‚’得られるよã†ã«ã™ã‚‹ã®ãŒãƒžã‚¸ãƒƒã‚¯
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vprof/README.md at master · nvdv/vprof
GitHub - pyGrowler/Growler: A micro web-framework using asyncio coroutines and chained middleware.
Growler/README.rst at dev · pyGrowler/Growler
GitHub - tienfuc/gdcmdtools: Google drive command-line tools
GitHub - Linuxbrew/brew: :beer::penguin: The Homebrew package manager for Linux
GitHub - HeidelTime/heideltime: A multilingual, cross-domain temporal tagger developed at the Database Systems Research Group at Heidelberg University.
WakaTime - Dashboards for developers
Chainer: A flexible framework for neural networks
Guesstimate | A Spreadsheet for the Uncertain
https://docs.prediction.io/templates/recommendation/quickstart/
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