Apache spark机器学习工作流的相关内容

阿里云文档 2024-12-06

通过Apache Airflow向EMR Severless Spark提交任务

Apache Airflow是一个强大的工作流程自动化和调度工具，它允许开发者编排、计划和监控数据管道的执行。EMR Serverless Spark为处理大规模数据处理任务提供了一个无服务器计算环境。本文为您介绍如何通过Apache Airflow实现自动化地向EMR Serverless Spark提交任务，以实现作业调度和执行的自动化，帮助您更有效地管理数据处理任务。

阿里云文档 2022-08-22

问题描述Dataphin执行Spark脚本任务，报错“org.apache.spark.sql.AnalysisException: Table or view not found: ...”。解决方案Dataphin的Spark脚本任务，不会对用户的代码进行翻译；需要在任务中直接使用计算源项目名称...

文章 2017-05-02 来自：开发者社区

Apache Spark机器学习.1.7　机器学习工作流示例

1.7　机器学习工作流示例为了进一步了解学习机器学习的工作流，在这里让我们学习一些例子。本书后续章节会研究风险建模、欺诈检测、客户视图、流失预测和产品推荐。对于诸如此类的项目，目标往往是确定某些问题的原因，或者建立一个因果模型。下面是使用工作流建立一个因果模型的一个例子。 1.检查数据结构，以确保更好地理解数据：数据是横截面数据吗？是隐含着时间信息的合并数据吗？是否使用了分类变量？ 2.....

文章 2017-05-02 来自：开发者社区

Apache Spark机器学习.1.6　机器学习工作流和Spark pipeline

1.6　机器学习工作流和Spark pipeline 在本节中，我们介绍机器学习工作流和Spark pipeline，然后讨论Spark pipeline作为机器学习计算工作流的优秀工具是如何发挥作用的。学习完本节，读者将掌握这两个重要概念，并且为编程和实现机器学习工作流的Spark pipeline做好准备。机器学习的工作流步骤几乎所有的机器学习项目均涉及数据清洗、特征挖掘、模型估计、.....

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