Lynx MATLAB Toolbox
Lynx is a research-oriented MATLAB toolbox for designing in a fast way supervised machine learning experiments. Details of a simulation can be specified under a configuration file, and the toolbox takes charge of loading data, partitioning it, testing the algorithms and visualizing the results. Additionally, it has support for parallelizing the experiments, and enabling GPU support. This makes large experiments easily repeatable and modifiable.
We have currently pre-implemented several algorithms (e.g. support vector machines, kernel ridge regression...), optimization routines (grid-search procedures, searching the optimal feature subset...), and datasets.
You can see examples of use (taken from my research papers) on:
http://ispac.diet.uniroma1.it/scardapane/software/code/
Please do not hesitate to contact me for any help. Problems and bugs can be reported also on the GitHub page where I will try to answer daily. The toolbox has been tested from MATLAB R2013a up to MATLAB R2015a.
引用格式
Simone (2024). Lynx MATLAB Toolbox (https://github.com/ispamm/Lynx-Toolbox), GitHub. 检索时间: .
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参考作品: Useful Figure Management Utilities, CATSTRUCT, statusbar, Precision-Recall and ROC Curves, Sampling from a discrete distribution, cprintf - display formatted colored text in Command Window, disptable - Display matrix with column or row labels, Text progress bar, DataHash
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core/classes
core/classes/@Simulation
core/classes/AdditionalFeatures
core/classes/Aggregators
core/classes/DataTypes
core/classes/DatasetFactories
core/classes/LearningAlgorithmTemplates
core/classes/NetworkTopologies
core/classes/OutputFormatters
core/classes/Tasks
core/classes/ValueContainers
core/functions/geneticprogramming
core/functions/geneticprogramming/individuals
core/functions/initialization
core/functions/math
core/functions/other
core/functions/utilities
core/functions/validation
functionalities/LearningAlgorithms
functionalities/LearningAlgorithms/ExtremeLearningMachine
functionalities/LearningAlgorithms/MultilayerPerceptron
functionalities/LearningAlgorithms/RandomVectorFunctionalLink
functionalities/LearningAlgorithms/RegularizedLeastSquare
functionalities/LearningAlgorithms/SupportVectorMachine
functionalities/Models
functionalities/PartitionStrategies
functionalities/PerformanceMeasures
functionalities/Preprocessors
functionalities/StatisticalTests
functionalities/Wrappers
functionalities/wrappers
help
scripts
tests
tests/DummyObjects
tests/core/classes
tests/core/classes/Aggregators
tests/core/classes/Tasks
tests/core/classes/ValueContainers
tests/core/functions/geneticprogramming
tests/core/functions/geneticprogramming/individuals
tests/core/functions/math
tests/core/functions/other
tests/core/functions/utilities
tests/core/functions/validation
tests/functionalities/LearningAlgorithms
tests/functionalities/PartitionStrategies
tests/functionalities/PerformanceMeasures
tests/functionalities/Preprocessors
tests/functionalities/Wrappers
无法下载基于 GitHub 默认分支的版本
版本 | 已发布 | 发行说明 | |
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1.3.0.0 | Re-updated description linking to GitHub bug report.
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1.1.0.0 | I have updated the description of the toolbox. |
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1.0.0.0 |
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