欢迎大家赞助一杯啤酒🍺 我们准备了下酒菜:Formal mathematics/Isabelle/ML, Formal verification/Coq/Agda, C++/Erlang/Lisp
Apache PredictionIO
来自开放百科 - 灰狐
(版本间的差异)
小 (→学习指南) |
小 (→链接) |
||
(未显示1个用户的7个中间版本) | |||
第1行: | 第1行: | ||
PredictionIO:是一个面向开发者和机器学习工程师的开源(Apache v2)[[machine learning|机器学习]]服务器,基于 [[Apache Spark]], [[Apache HBase]] 和 [[Spray]] 构建。 | PredictionIO:是一个面向开发者和机器学习工程师的开源(Apache v2)[[machine learning|机器学习]]服务器,基于 [[Apache Spark]], [[Apache HBase]] 和 [[Spray]] 构建。 | ||
+ | [[文件:predictionio.png|right]] | ||
− | == | + | ==简介== |
+ | |||
+ | ==功能== | ||
==安装== | ==安装== | ||
第63行: | 第66行: | ||
*[https://github.com/PredictionIO/template-scala-parallel-classification 分类模版] | *[https://github.com/PredictionIO/template-scala-parallel-classification 分类模版] | ||
*[https://github.com/PredictionIO/template-scala-parallel-textclassification 文本分类模版] | *[https://github.com/PredictionIO/template-scala-parallel-textclassification 文本分类模版] | ||
+ | |||
+ | ==项目== | ||
==问题== | ==问题== | ||
第73行: | 第78行: | ||
拷贝 US_export_policy.jar 和 local_policy.jar 到类似目录下: | 拷贝 US_export_policy.jar 和 local_policy.jar 到类似目录下: | ||
/Library/Java/JavaVirtualMachines/jdk1.8.0_60.jdk/Contents/Home/jre/lib/security | /Library/Java/JavaVirtualMachines/jdk1.8.0_60.jdk/Contents/Home/jre/lib/security | ||
+ | |||
+ | [http://docs.huihoo.com/predictionio/docs.prediction.io/resources/faq/index.html 更多常见问题>>>] | ||
==图集== | ==图集== | ||
第90行: | 第97行: | ||
*[https://docs.prediction.io/datacollection/analytics-zeppelin/ Machine Learning Analytics with Zeppelin] | *[https://docs.prediction.io/datacollection/analytics-zeppelin/ Machine Learning Analytics with Zeppelin] | ||
*[http://www.infoq.com/cn/news/2016/03/Salesforce-PredictionIO-CRM Salesforce收购机器学习创业新星PredictionIO] | *[http://www.infoq.com/cn/news/2016/03/Salesforce-PredictionIO-CRM Salesforce收购机器学习创业新星PredictionIO] | ||
+ | *[https://www.lightbend.com/resources/case-studies-and-stories/why-predictionio-loved-using-play-to-build-its-popular-machine-learning-server Why PredictionIO Loved Using Play to Build its Popular Machine Learning Server] | ||
[[category:recommender system]] | [[category:recommender system]] | ||
第95行: | 第103行: | ||
[[category:spark]] | [[category:spark]] | ||
[[category:HBase]] | [[category:HBase]] | ||
+ | [[category:java]] | ||
+ | [[category:scala]] | ||
+ | [[category:play]] | ||
+ | [[category:apache]] | ||
+ | [[category:huihoo]] |
2018年3月14日 (三) 01:43的版本
PredictionIO:是一个面向开发者和机器学习工程师的开源(Apache v2)机器学习服务器,基于 Apache Spark, Apache HBase 和 Spray 构建。
目录 |
简介
功能
安装
- 快速安装
$ bash -c "$(curl -s https://install.prediction.io/install.sh)" 若用MySQL,需事先创建好表和用户 CREATE DATABASE pio DEFAULT CHARACTER SET utf8 COLLATE utf8_general_ci; GRANT ALL PRIVILEGES ON pio.* TO pio@localhost IDENTIFIED BY 'pio';
pio表
MySQL [pio]> show tables; +------------------------------+ | Tables_in_pio | +------------------------------+ | pio_meta_accesskeys | | pio_meta_apps | | pio_meta_channels | | pio_meta_engineinstances | | pio_meta_enginemanifests | | pio_meta_evaluationinstances | | pio_model_models | +------------------------------+
启动pio
pio eventserver & pio status
学习指南
pio template get PredictionIO/template-scala-parallel-textclassification tc cd tc pio app new tcApp pio import --appid 2 --input data/stopwords.json pio import --appid 2 --input data/emails.json pio build --verbose pio train pio deploy https://0.0.0.0:8000/ curl -k -H "Content-Type: application/json" -d '{ "text":"I like speed and fast motorcycles." }' https://localhost:8000/queries.json {"category":"not spam","confidence":0.8526195109215867} curl -k -H "Content-Type: application/json" -d '{ "text":"Earn extra cash!" }' https://localhost:8000/queries.json {"category":"spam","confidence":0.5268770133242983}
注意 engine.json 的一些设置项:
"engineFactory": "com.huihoo.TextClassificationEngine", "appName": "tcApp"
使用另一个模版
pio template get PredictionIO/template-scala-parallel-universal-recommendation startpio cd startpio pio app new pioApp pio app list pio import --appid 1 --input data/handmade-event-description.txt
模版
项目
问题
https://0.0.0.0:8000 Cannot support TLS_RSA_WITH_AES_256_CBC_SHA with currently installed providers
安装 Java security jars
拷贝 US_export_policy.jar 和 local_policy.jar 到类似目录下:
/Library/Java/JavaVirtualMachines/jdk1.8.0_60.jdk/Contents/Home/jre/lib/security
图集
链接
分享您的观点