Showing 3 open source projects for "spark"

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    Synapse Machine Learning

    Synapse Machine Learning

    Simple and distributed Machine Learning

    ...These tools enable powerful and highly-scalable predictive and analytical models for a variety of data sources. SynapseML also brings new networking capabilities to the Spark Ecosystem. With the HTTP on Spark project, users can embed any web service into their SparkML models. For production-grade deployment, the Spark Serving project enables high throughput, sub-millisecond latency web services, backed by your Spark cluster.
    Downloads: 2 This Week
    Last Update:
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  • 2
    XGBoost

    XGBoost

    Scalable and Flexible Gradient Boosting

    ...It also offers parallel tree boosting (GBDT, GBRT or GBM) that can quickly and accurately solve many data science problems. XGBoost can be used for Python, Java, Scala, R, C++ and more. It can run on a single machine, Hadoop, Spark, Dask, Flink and most other distributed environments, and is capable of solving problems beyond billions of examples.
    Downloads: 12 This Week
    Last Update:
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  • 3
    Spark Notebook

    Spark Notebook

    Interactive and Reactive Data Science using Scala and Spark

    Spark Notebook is an interactive web-based computational notebook designed to make working with Apache Spark more productive, exploratory, and expressive. It allows developers, data scientists, and analysts to write, run, and visualize Spark code in cells that support multiple languages such as Scala, Python, and SQL, all within the same notebook.
    Downloads: 2 This Week
    Last Update:
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