Release Notes Version 5 8

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Revision as of 16:37, 17 February 2010 by imported>Jeremy (→‎Other Enhancements)
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Version 5.8 of PLS_Toolbox and Solo was released in February , 2010.

For general product information, see PLS_Toolbox Product Page. For information on Solo, see Solo Product Page.

NEW FEATURES

  • Updated for Matlab 2010a compatibility.

Model Building

  • SVM
  • LWR
  • PLSDA: Fixes to details fields.
  • ALS: Fix bug which causes ALS to fail when dropping all-zero components WITH concentration equality constraints "on".
  • TrendTool - now outputs model structures which can be used to make predictions on new data.

Scores Plots

Preprocessing

  • Add Transmission to Absorbance preprocessing method (-log10(T)).

Importers/Exporters

  • Analytical Spectral Devices (ASD) Indico (Versions 6 and 7) data file reader added.
  • Horiba JY file importer fixes to data type handling.
  • Fix XLSREADR for 64-bit Matlab bug which may return sheets as empty cell array.

Other Enhancements

  • Analysis: Demo datasets now available from Model Cache.
  • Analysis: Methods menu now listed in labeled categories.
  • Analysis: Add "permutation test" to tools menu. IS THERE A LINK TO EXPLAIN WHAT PERMUTATION TEST IS?
  • DataHat: Add support for MCR (model-only) input.
  • Plot Controls: Copy Figure now works on non-PC platforms.
  • PLSDAROC Add mouse-over and simple-click actions to plot.
  • Purity: Uses include field correctly.
  • improvements for MAC platform appearance
  • NND Score Distance calculation now uses Mahalanobis distance
  • DataSet Editor: Improved Copy/Paste functionality from data table (labels included and formatted for Excel compatibility)
  • improved GUI position remembering and automatic docking.

NEW FUNCTIONS AND FILES

asdreadr - Imports data from Analytical Spectral Devices (ASD) Indico (Versions 6 and 7) data files.
clipboard_image - Copy and paste images to/from the system clipboard.
ismodel - Returns boolean TRUE if input object is a standard model structure.
svm - Support Vector Machine (LIBSVM) for regression or classification.
svmda - Support Vector Machine (LIBSVM) for classification.
svmengine - Support Vector Machine for classification or regression using the LIBSVM package.