PHP5.3 を使うのはやめよう
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The document discusses PHP 5.3 and how array dereferencing syntax like explode(',', 'foo,bar,baz')[1] is not supported and will cause a parse error. It shows how to get the second element of the exploded array in PHP 5.3 using a multi-line approach by assigning the result of explode to a variable first before accessing the element. Later it is demonstrated that this syntax is supported in PHP 5.4 and higher. It also discusses patching the PHP source code to add support for this syntax in older versions.
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社内勉強会での発表資料です。ロジスティック回帰分析を題材に、特徴量が高次元になった場合に過学習が発生する様子、正則化によって過学習が抑制される様子を具体例で決定境界の図を描画しながら説明しました。
発表資料に対応する Notebook ファイルを Gist で公開しています。
https://gist.github.com/y-uti/5127117445f28e5d5c66f7b5c66d262b
ロジスティック回帰入門
社内勉強会での発表資料です。ロジスティック回帰について、できるだけ数式を使わず、アルゴリズムを自分で実装できるようなイメージを掴めることを目的として説明しました。
具体的な実装例として、発表資料の内容に対応する Jupyter Notebook ファイルを Gist で公開しています。
https://gist.github.com/y-uti/445cb172ab61d5358864111ee6676e9f
論文紹介 Identifying Implementation Bugs in Machine Learning based Image Classifi...
機械学習工学研究会主催の「XX for ML 論文読み会 #1」での発表資料です。論文は https://arxiv.org/abs/1808.05353 からダウンロードできます。
Metamorphic testing を (1) SVM による MNIST 手書き数字の認識、(2) ResNet-32 による CIFAR-10 画像分類の二つのアプリケーションに適用し、バグを検出できるかを実験したという内容です。実験の枠組みには mutation testing を用い、71% のバグを発見できたと報告されています。
PECL operator で演算子オーバーロード
PHP カンファレンス福岡の前夜祭 (非公式) で発表したものです。operator 拡張モジュールで演算子オーバーロードを実現する方法、実現方式について説明しました。別のアプローチとして、zend_object_handlers を変更する方法にも簡単に触れています。
PHP-ML で手書き数字認識
第120回 PHP勉強会での LT 発表資料です。PHP-ML という機械学習ライブラリを利用して、ロジスティック回帰という手法で MNIST のデータセットを学習しました。あまり認識精度は高くないのですが、ブラウザ上で試せる簡単なデモプログラムを作成しました。
OPcache の最適化器の今
PHP Conference 2017 での発表資料です。
PHP 7.1 から OPcache 内部の最適化器にデータフロー解析が実装され、より効率的なバイトコードが生成されるようになりました。過去と現在の OPcache の最適化器の処理について簡単に紹介したものです。
Kaggle の Titanic チュートリアルに挑戦した話
Kaggle の Titanic チュートリアルに挑戦した経験について、勤め先の社内勉強会で発表したものです。
実装した内容 (Notebook 形式) は Kaggle のサイトに登録して公開しています。
https://www.kaggle.com/yuchiyama/prediction-by-svm
PHP カンファレンス福岡 2017 参加報告
2017 年 6 月 10 日に開催された PHP カンファレンス福岡 2017 について、勤務先で参加報告を行いました。
聴講したセッションの中から、社内のメンバーにも興味を持ってもらえそうな発表をいくつか選んで報告したものです。
分類問題 - 機械学習ライブラリ scikit-learn の活用
社内勉強会で『Python 機械学習プログラミング』の第 3 章の発表を担当した際の資料です。教科書で触れられている各アルゴリズムについて、アルゴリズムの概要と Iris データセットへの適用結果を説明しています。
発表資料に対応して、Jupyter Notebook で実行した ipynb ファイルを Gist にアップロードしています。
https://gist.github.com/y-uti/bd0928ad4f4eff7794a00108f6cbe7cc
[2017-05-08] スライド 37 ページの内容はカーネル SVM の理解について大きな誤りがあったため取り消します。
JIT のコードを読んでみた
第 7 回 闇 PHP 勉強会での発表資料です。PHP 8 への搭載を目指して開発が進められている JIT のソースコードを読んでみて、どのような実装になっているかを紹介したものです。
JIT for PHP を試した
第 107 回 PHP 勉強会での LT 発表の資料です。PHP 8.0 への搭載を目指して JIT コンパイラの開発が始まっています。LT 発表では、マイクロベンチマークを用いて実行時間を計測した結果を報告しました。
Task Spooler を試した
社内勉強会での発表資料です。機械学習のジョブを流す際などに Task Spooler というツールが便利そうだと思い試してみました。使い方を簡単にまとめて紹介したものです。
anyenv + phpenv + php-build が便利すぎる件
第 103 回 PHP 勉強会での発表資料です。表題のツールの組み合わせにより、複数の PHP を簡単に切り替えて使う方法を説明しました。また、phpenv には複数の実装があり、初心者にはやや複雑な状況になっています。後半のスライドで、その点についても説明しています。
PHP カンファレンス福岡 参加報告
5/21 (土) に開催された PHP カンファレンス福岡に参加しました。社内向けに参加報告を行った際のスライドです。聴講した発表の中から、特に社内のメンバーに伝えたいと思った内容を選んで感想をまとめました。
RFC: "var" Deprecation
第 102 回 PHP 勉強会での発表資料です。
前半では、PHP 7.1 での導入が決まっている新機能のいくつかを簡単に紹介します。後半では、賛否が分かれた RFC の例として "var" Deprecation を取り上げ、この RFC に対する議論を紹介します。
Windows で拡張モジュールをビルドしてみた
第100回 PHP 勉強会での LT 発表資料です。
Windows で PECL 拡張をビルドするには PHP のソースコードと共に配布される buildconf を使うのが公式な方法ですが、phpize を用いて Linux などと同様の手順でビルドする方法を試してみました。
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Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
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PHP5.3 を使うのはやめよう
- 2. bash $ echo foo,bar,baz | cut -d, -f2 bar 2014/10/27 PHP勉強会#83 2
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