You can use Statistics and Machine Learning Toolbox™ functions to visualize: Single-variable distributions — Create univariate plots, such as box plots and histograms. Relationships between two variables — Create bivariate plots, such as grouped scatter plots and bivariate histograms. Relationships b...
Statistics and Machine Learning Toolbox™ allows you to use parallel computing to speed up certain statistical computations. In parallel computing, a single MATLAB®client session distributes code segments to multiple workers for independent processing, and then combines these individual results to com...
These histogram results suggested that the data could be characterized using a statistical distribution. Using Statistics and Machine Learning Toolbox we fitted the measured distance values to a series of probability distributions. Narrowing our search to asymmetri...
Some of the functions require the Statistics and machine learning toolbox from Matlab, but most of the features do not need it. The TableGui interface requires the GUI Layout Toolbox The MatGeom library is required for computing / displaying some features like inertia ellipses or ellipsoids. The...
Statistical tool box: Distribution fitting tool. Learn more about statistical tool box, distribution fitting tool
The next step was the construction of metamodels using the Statistics and Machine Learning toolbox in Matlab, employing linear regression and Gaussian process regression models. Finally, a statistical analysis was conducted. Results and Conclusion: The distillation system simulation con...
For documentation and examples, see:https://klabhub.github.io/bayesFactor/ Dependencies Mathworks Statistics and Machine Learning Toolbox. Known to work with: Matlab R2017a or later. Known not to work with: Matlab R2016b or earlier.
It is an add-on tool making statistical analysis an easy job. This solution comes… Overview Features •Statistical analysis •Modeling and visualizations •Data mining • The software is an add on feature to excel •Allow data testing •Provides solution to psychologists, medical people,...
Recurrent neural networks (RNNs) are now established as one of the key tools in the machine learning toolbox for handling large-scale sequence data. The ability to specify highly powerful models, advances instochastic gradient descent, the availability of large volumes of data, andlarge-scale com...
It offers numerous algorithms and data structures for machine learning problems. The focus of Shogun is on kernel machines such as support vector machines for regression and classification problems. Shogun also offers a full implementation of Hidden Markov models. The toolbox seamlessly allows to ...