Release Notes Version 6 2: Difference between revisions
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Version 6.2 of PLS_Toolbox and Solo was released in March, 2011. | Version 6.2 of PLS_Toolbox and Solo was released in March, 2011. | ||
For general product information, see [http://www.eigenvector.com/software/pls_toolbox.htm PLS_Toolbox Product Page]. For information on Solo, see[http://www.eigenvector.com/software/solo.htm Solo Product Page]. | For general product information, see [http://www.eigenvector.com/software/pls_toolbox.htm PLS_Toolbox Product Page]. For information on Solo, see [http://www.eigenvector.com/software/solo.htm Solo Product Page]. | ||
(back to [[Release Notes PLS Toolbox and Solo]]) | (back to [[Release Notes PLS Toolbox and Solo]]) | ||
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* Orthgonalized PLSDA (O-PLSDA) models now fully supported. | * Orthgonalized PLSDA (O-PLSDA) models now fully supported. | ||
* Full cross-validation support of weighted regression. | * Full cross-validation support of weighted regression. | ||
===Ease-of-Use Features=== | ===Ease-of-Use Features=== | ||
* Magnify | * [[magnify_tool| Magnify Tool]] - magnifying glass for any image or data. | ||
* New "Export Figure" option in FigBrowser menu to allow easy exporting of '''any''' figure. | |||
* Easy export of figures to HTML with several file types. | |||
===Functionality Improvements=== | ===Functionality Improvements=== | ||
* Importer for StellarNet ABS files. | |||
* Improved Model Cache performance. | * Improved Model Cache performance. | ||
* New and configurable statistics on regression plots. | * New and configurable statistics on regression plots. | ||
* Improved Support Vector Machine handling of unusual cases. | * Improved Support Vector Machine handling of unusual cases. | ||
* Improved performance of multi-axes scores plots. | * Improved performance of multi-axes scores plots. | ||
* Shortcut keys and menu to automatically select all members of the next/previous class. | |||
* Color-by and class symbol improvements (full support on standard plot types). | |||
===Documentation=== | ===Documentation=== | ||
* General content improvements | |||
* New demos for: [[fasternnls]], [[wlsbaseline]], confusionmatrix, and [[stepwise_regrcls]] | |||
===PLS_Toolbox-Specific Enhancements=== | ===PLS_Toolbox-Specific Enhancements=== | ||
* Full Matlab 2011a support. | |||
* Confusion Tables and Matrices for SVMDA and PLSDA models (confusionmatrix, confusiontable, and getmisclassifieds) | |||
* Improved [[Evriscript|EVRIScript]] object access. | |||
* Inverse calculation of confidence limits from T^2 and Q values ([[tsqlim]] and [[chilimit]]). | |||
* Added Skewed Gaussian as peak option in FitPeaks. | |||
* Improved [[boxplot]] support. | |||
===DataSet Object Changes=== | |||
* No longer mistakenly allows NaNs in class assignments. | |||
* Add sparse, issparse, and full methods. | |||
==NEW FUNCTIONS AND FILES== | ==NEW FUNCTIONS AND FILES== | ||
:[[stepwise_regrcls]] -Stepwise CLS engine. | |||
:[[snabsreadr]] -StellarNet ABS file importer. | |||
:peakgaussianskew -Engine to allow use of skewed Gaussian peaks in peak fitting. | |||
:confusionmatrix -Engine for calculating confusion matrices. | |||
:confusiontable -Engine for calculating confusion tables. | |||
:getmisclassifieds -Engine for determining which samples were misclassified. | |||
Latest revision as of 17:53, 8 March 2011
Version 6.2 of PLS_Toolbox and Solo was released in March, 2011.
For general product information, see PLS_Toolbox Product Page. For information on Solo, see Solo Product Page.
(back to Release Notes PLS Toolbox and Solo)
NEW FEATURES
Model Building
- Stepwise CLS added as algorithm to CLS.
- Orthgonalized PLSDA (O-PLSDA) models now fully supported.
- Full cross-validation support of weighted regression.
Ease-of-Use Features
- Magnify Tool - magnifying glass for any image or data.
- New "Export Figure" option in FigBrowser menu to allow easy exporting of any figure.
- Easy export of figures to HTML with several file types.
Functionality Improvements
- Importer for StellarNet ABS files.
- Improved Model Cache performance.
- New and configurable statistics on regression plots.
- Improved Support Vector Machine handling of unusual cases.
- Improved performance of multi-axes scores plots.
- Shortcut keys and menu to automatically select all members of the next/previous class.
- Color-by and class symbol improvements (full support on standard plot types).
Documentation
- General content improvements
- New demos for: fasternnls, wlsbaseline, confusionmatrix, and stepwise_regrcls
PLS_Toolbox-Specific Enhancements
- Full Matlab 2011a support.
- Confusion Tables and Matrices for SVMDA and PLSDA models (confusionmatrix, confusiontable, and getmisclassifieds)
- Improved EVRIScript object access.
- Inverse calculation of confidence limits from T^2 and Q values (tsqlim and chilimit).
- Added Skewed Gaussian as peak option in FitPeaks.
- Improved boxplot support.
DataSet Object Changes
- No longer mistakenly allows NaNs in class assignments.
- Add sparse, issparse, and full methods.
NEW FUNCTIONS AND FILES
- stepwise_regrcls -Stepwise CLS engine.
- snabsreadr -StellarNet ABS file importer.
- peakgaussianskew -Engine to allow use of skewed Gaussian peaks in peak fitting.
- confusionmatrix -Engine for calculating confusion matrices.
- confusiontable -Engine for calculating confusion tables.
- getmisclassifieds -Engine for determining which samples were misclassified.