A Spark-based visual ML workflow framework with LangGraph agents is proposed, but its claimed benefits are supported only by a thin prototype experiment without code release.
MLlib: Machine Learning in Apache Spark
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abstract
Apache Spark is a popular open-source platform for large-scale data processing that is well-suited for iterative machine learning tasks. In this paper we present MLlib, Spark's open-source distributed machine learning library. MLlib provides efficient functionality for a wide range of learning settings and includes several underlying statistical, optimization, and linear algebra primitives. Shipped with Spark, MLlib supports several languages and provides a high-level API that leverages Spark's rich ecosystem to simplify the development of end-to-end machine learning pipelines. MLlib has experienced a rapid growth due to its vibrant open-source community of over 140 contributors, and includes extensive documentation to support further growth and to let users quickly get up to speed.
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cs.AI 1years
2024 1verdicts
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Intelligent Spark Agents: A Modular LangGraph Framework for Scalable, Visualized, and Enhanced Big Data Machine Learning Workflows
A Spark-based visual ML workflow framework with LangGraph agents is proposed, but its claimed benefits are supported only by a thin prototype experiment without code release.