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  2. Meta-regression - Wikipedia

    en.wikipedia.org/wiki/Meta-regression

    The terms random-effect meta-regression and mixed-effect meta-regression are equivalent. Although calling one a random-effect model signals the absence of fixed effects, which would technically disqualify it from being a regression model, one could argue that the modifier random-effect only adds to, not takes away from, what any regression model should include: fixed effects.

  3. QLattice - Wikipedia

    en.wikipedia.org/wiki/QLattice

    The QLattice is a software library which provides a framework for symbolic regression in Python.It works on Linux, Windows, and macOS.The QLattice algorithm is developed by the Danish/Spanish AI research company Abzu. [1]

  4. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    The earliest regression form was seen in Isaac Newton's work in 1700 while studying equinoxes, being credited with introducing "an embryonic linear aggression analysis" as "Not only did he perform the averaging of a set of data, 50 years before Tobias Mayer, but summing the residuals to zero he forced the regression line to pass through the ...

  5. Weka (software) - Wikipedia

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

    Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License. It was developed at the University of Waikato , New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".

  6. Outline of regression analysis - Wikipedia

    en.wikipedia.org/wiki/Outline_of_regression_analysis

    The following outline is provided as an overview of and topical guide to regression analysis: Regression analysis – use of statistical techniques for learning about the relationship between one or more dependent variables ( Y ) and one or more independent variables ( X ).

  7. Metadata modeling - Wikipedia

    en.wikipedia.org/wiki/Metadata_modeling

    Meta-modeling is the analysis, construction and development of the frames, rules, constraints, models and theories applicable and useful for the modeling in a predefined class of problems. The meta-data side of the diagram consists of a concept diagram. This is basically an adjusted class diagram as described in Booch, Rumbaugh and Jacobson (1999).

  8. Orange (software) - Wikipedia

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

    Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.

  9. Software regression - Wikipedia

    en.wikipedia.org/wiki/Software_regression

    A software performance regression is a situation where the software still functions correctly, but performs more slowly or uses more memory or resources than before. [3] Various types of software regressions have been identified in practice, including the following: [ 4 ]