Alien-XGBoost

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        <h1>Scalable and Flexible Gradient Boosting</h1>
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            <iframe src="https://ghbtns.com/github-btn.html?user=dmlc&repo=xgboost&type=star&count=true&v=2"
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            <iframe src="https://ghbtns.com/github-btn.html?user=dmlc&repo=xgboost&type=fork&count=true&v=2"
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          <a href="get_started/" class="get_start_btn">Get Started</a>
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        <h3><i class="fa fa-flag"></i> Flexible</h3>
        <p>Supports regression, classification, ranking and user defined objectives.
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        <h3><i class="fa fa-cube"></i> Portable</h3>
        <p>Runs on Windows, Linux and OS X, as well as various cloud Platforms</p>
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        <h3><i class="fa fa-wrench"></i>Multiple Languages</h3>
        <p>Supports multiple languages including C++, Python, R, Java, Scala, Julia.</p>
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        <h3><i class="fa fa-cogs"></i> Battle-tested</h3>
        <p>Wins many data science and machine learning challenges.
          Used in production by multiple companies.
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        <h3><i class="fa fa-cloud"></i>Distributed on Cloud</h3>
        <p>Supports distributed training on multiple machines, including AWS,
          GCE, Azure, and Yarn clusters. Can be integrated with Flink, Spark and other cloud dataflow systems.</p>
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        <h3><i class="fa fa-rocket"></i> Performance</h3>
        <p>The well-optimized backend system for the best performance with limited resources.
          The distributed version solves problems beyond billions of examples with same code.
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