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  2. LightGBM - Wikipedia

    en.wikipedia.org/wiki/LightGBM

    LightGBM, short for Light Gradient-Boosting Machine, is a free and open-source distributed gradient-boosting framework for machine learning, originally developed by Microsoft. [4][5] It is based on decision tree algorithms and used for ranking, classification and other machine learning tasks. The development focus is on performance and scalability.

  3. XGBoost - Wikipedia

    en.wikipedia.org/wiki/XGBoost

    XGBoost. XGBoost[2] (eXtreme Gradient Boosting) is an open-source software library which provides a regularizing gradient boosting framework for C++, Java, Python, [3] R, [4] Julia, [5] Perl, [6] and Scala. It works on Linux, Microsoft Windows, [7] and macOS. [8] From the project description, it aims to provide a "Scalable, Portable and ...

  4. Hyperparameter optimization - Wikipedia

    en.wikipedia.org/wiki/Hyperparameter_optimization

    A hyperparameter is a parameter whose value is used to control the learning process, which must be configured before the process starts. [2] Hyperparameter optimization determines the set of hyperparameters that yields an optimal model which minimizes a predefined loss function on a given data set. [3] The objective function takes a set of ...

  5. Hyperparameter (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Hyperparameter_(machine...

    [3] [2] [4] The tunability of an algorithm, hyperparameter, or interacting hyperparameters is a measure of how much performance can be gained by tuning it. [5] For an LSTM , while the learning rate followed by the network size are its most crucial hyperparameters, [ 6 ] batching and momentum have no significant effect on its performance.

  6. Gradient boosting - Wikipedia

    en.wikipedia.org/wiki/Gradient_boosting

    Gradient boosting is a machine learning technique based on boosting in a functional space, where the target is pseudo-residuals instead of residuals as in traditional boosting. It gives a prediction model in the form of an ensemble of weak prediction models, i.e., models that make very few assumptions about the data, which are typically simple ...

  7. Veterinary Techs List Little-Known Things They Wish Pet ... - AOL

    www.aol.com/veterinary-techs-list-little-known...

    Carrots, celery, apples (no seeds!) and other crunchy fruits and veggies can work as dental treats, too. People With Pets shared this reminder about heartworm and other parasites, "Internal and ...

  8. Here's the difference between a sore throat and strep - AOL

    www.aol.com/heres-difference-between-sore-throat...

    For one, "the throat will often be red with swollen tonsils, sometimes with pus on them," he says. And the pain associated with strep throat is usually more intense than the pain associated with a ...

  9. CatBoost - Wikipedia

    en.wikipedia.org/wiki/Catboost

    CatBoost[6] is an open-source software library developed by Yandex. It provides a gradient boosting framework which, among other features, attempts to solve for categorical features using a permutation-driven alternative to the classical algorithm. [7] It works on Linux, Windows, macOS, and is available in Python, [8] R, [9] and models built ...