Release Notes Version 6 2: Difference between revisions

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imported>Scott
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imported>Jeremy
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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 tool - magnifying glass for any image or data.
* Magnify tool - magnifying glass for any image or data.
* New "Export Figure" option in FigBrowser menu to allow easy exporting of '''any''' figure.


===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.
===Documentation===
===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|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


===PLS_Toolbox-Specific Enhancements===


===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

Revision as of 12:18, 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, seeSolo 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.

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.

Documentation

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


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
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