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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6
章
ML
パッケージ
93
6
章
ML
パッケージ
前章では、RDDのみを操作の対象とするSparkのMLlibパッケージを使いました。本章では、
DataFrameのみを操作の対象とするSparkのMLパッケージに進みましょう。また、Sparkのド
キュメンテーションによれば、今では Sparkの主たる機械学習 APIは、
spark.ml
パッケージを含む
DataFrame ベースのモデル群になっています。
さあ 、それ では始めましょう！
本章では、前章で扱ったデータセットの一部を再び利用します。このデータは
http://www.
tomdrabas.com/data/LearningPySpark/births_transformed.csv.gz
からダウンロードでき
ます。
本章で学ぶことは次のとおりです。
●
transformer、estimator、パイプラインの準備
●
ML パッケージで利用できるモデルを使った幼児の生存率の予測
●
モデルのパフォーマンスの評価
●
パラメータのハイパーチューニング
●
ML パッケージで利用できる他の機械学習モデルの利用
6.1
ML
パッケージの概要
MLパッケージは、トップレベルの主要な抽象クラスとして
Transformer
、
Estimator
、
Pipeline
の3 つを公開しています。それぞれについては短い例とともにこのあと紹介します。一部の
モデルについては、本章の最後のセクションでさらにしっかりとした例を紹介します。
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.