Shypd.aiThe largest open index of AI toolsEasyML is an AI Frameworks & Infra tool that simplifies applying machine learning algorithms to real-world tasks. It provides a general-purpose dataflow-based system for distributed platforms like Hadoop and Spark.
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EasyML is a general-purpose dataflow-based system designed to ease the process of applying machine learning algorithms to real-world tasks, especially on distributed platforms such as Hadoop and Spark. It formulates learning tasks as directed acyclic graphs (DAGs), where each node represents an operation or algorithm. The system includes a distributed machine learning library with algorithms for pre/post-processing, data transformation, feature generation, and performance evaluation, primarily based on Spark. A GUI-based studio allows users to create, configure, submit, monitor, and share machine learning processes using a drag-and-drop interface. EasyML also offers a cloud service for executing tasks, scheduling nodes automatically on Linux, Spark, or Map-Reduce based on their implementation. Users can upload their own algorithm packages and datasets.
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