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  2. CatBoost - Wikipedia

    en.wikipedia.org/wiki/Catboost

    It works on Linux, Windows, macOS, and is available in Python, [8] R, [9] and models built using CatBoost can be used for predictions in C++, Java, [10] C#, Rust, Core ML, ONNX, and PMML. The source code is licensed under Apache License and available on GitHub. [6] InfoWorld magazine awarded the library "The best machine learning tools" in 2017.

  3. List of unit testing frameworks - Wikipedia

    en.wikipedia.org/wiki/List_of_unit_testing...

    Boost Test Library Boost: Yes [98] Yes [99] Yes [100] [101] Yes With additional library "Turtle" [102] Yes User decision Yes Suites and labels [103] Part of Boost. Powerful dataset concept for generating test cases. Different levels of fixtures (global, once per test suite, once per each test case in a suite). Powerful floating point comparison ...

  4. Selenium (software) - Wikipedia

    en.wikipedia.org/wiki/Selenium_(software)

    Selenium Grid is a server that allows tests to use web browser instances running on remote machines. With Selenium Grid, one server acts as the central hub. Tests contact the hub to obtain access to browser instances. The hub has a list of servers that provide access to browser instances (WebDriver nodes), and lets tests use these instances.

  5. Boosting (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Boosting_(machine_learning)

    scikit-learn, an open source machine learning library for Python Orange , a free data mining software suite, module Orange.ensemble Weka is a machine learning set of tools that offers variate implementations of boosting algorithms like AdaBoost and LogitBoost

  6. Boost (C++ libraries) - Wikipedia

    en.wikipedia.org/wiki/Boost_(C++_libraries)

    Boost is a set of libraries for the C++ programming language that provides support for tasks and structures such as linear algebra, pseudorandom number generation, multithreading, image processing, regular expressions, and unit testing. It contains 164 individual libraries (as of version 1.76).

  7. Beautiful Soup (HTML parser) - Wikipedia

    en.wikipedia.org/wiki/Beautiful_Soup_(HTML_parser)

    Beautiful Soup is a Python package for parsing HTML and XML documents, including those with malformed markup. It creates a parse tree for documents that can be used to extract data from HTML, [3] which is useful for web scraping. [2] [4]

  8. Boost (chocolate bar) - Wikipedia

    en.wikipedia.org/wiki/Boost_(chocolate_bar)

    Boost was the most popular snack among construction workers working on the 2012 London Olympics. [9] [10] Following increased commodity prices and legislation from the Government, the Boost bar in the United Kingdom was shrunk from 60g down to 48.5g in 2013. In 2014, the Boost Duo version also shrank by 10g to 68g.

  9. Firefox version history - Wikipedia

    en.wikipedia.org/wiki/Firefox_version_history

    Firefox was created by Dave Hyatt and Blake Ross as an experimental branch of the Mozilla browser, first released as Firefox 1.0 on November 9, 2004. Starting with version 5.0, a rapid release cycle was put into effect, resulting in a new major version release every six weeks.