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The QLattice works with data in categorical and numeric format. It allows the user to quickly generate, plot and inspect mathematical formulae that can potentially explain the generating process of the data. It is designed for easy interaction with the researcher, allowing the user to guide the search based on their preexisting knowledge. [2] [6]
statsmodels – Python package for statistics and econometrics (regression, plotting, hypothesis testing, generalized linear model (GLM), time series analysis, autoregressive–moving-average model (ARMA), vector autoregression (VAR), non-parametric statistics, ANOVA) Statistical Lab – R-based and focusing on educational purposes
Bioinformatics Laboratory, Faculty of Computer and Information Science, University of Ljubljana: 10 January 2016 () Yes GNU GPL: GUI/Python Python, Cython Python Origin: OriginLab 3.23.0 (5 September 2019 ()) No Proprietary: GUI: C++ LabTalk Ox programming language: OxMetrics, J.A. Doornik August 2011 () No Proprietary: CLI
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
10.2 3 December 2023: Free GPL: Programmable, includes computer algebra, 2D+3D plotting. Interfaces to many open-source and proprietary software. Web based interface HTTP or HTTPS: SAS: Anthony Barr, James Goodnight: 1966 1972 10.2 10 July 2014: Not free Proprietary: Mainly for statistics SequenceL: Texas Multicore Technologies: 1989 2012 2.4 ...
This is a list of free and open-source software packages (), computer software licensed under free software licenses and open-source licenses.Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]
In 2021, SRBench [9] was proposed as a large benchmark for symbolic regression. In its inception, SRBench featured 14 symbolic regression methods, 7 other ML methods, and 252 datasets from PMLB. The benchmark intends to be a living project: it encourages the submission of improvements, new datasets, and new methods, to keep track of the state ...
In statistics, multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. [1] It is a non-parametric regression technique and can be seen as an extension of linear models that automatically models nonlinearities and interactions between variables.