November 2017
Intermediate to advanced
328 pages
6h 51m
Japanese
Content preview from 入門 PySpark ―PythonとJupyterで活用するSpark 2エコシステム
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162
8
章
TensorFrames
この例の
op
1
は次の図に示す行列の乗算ですが、演算処理としては TensorFlowで利用できる数多く
の演算処理のいずれを使うこともできます。
まとめると、グラフ内で数値演算を行うには、数値演算（ノード）間で多次元配列（テンソル）を流
すことになります。このテンソルの流れが、すなわち TensorFlowというわけです。
TensorFlowの動作をさらに理解するために、まずはPythonの環境に（最初は Sparkと関係なく）
TensorFlow をインストールしましょう。完全な手順については https://www.tensorflow.org/versions/
r0.12/get_started/os_setupにある TensorFlow のDownload and Setupページを参照してください。
この章では Pythonのパッケージ管理システムである
pip
による Linuxもしくは macOSへのインス
トールに焦点を当てます。
8. 2 .1
pip
の イ ン スト ー ル
pip
がインストールされていることを確認してください。もしインストールされていなかったなら、
次のコマンドを使って
pip
をインストールしてください。Ubuntu/Linux の場合は次のとおりです。
# Ubuntu/Linux 64-bit
$ sudo apt-get install python-pip python-dev
macOSの場合は次のとおりです。
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.