Release Notes Version 8 8: Difference between revisions

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(Created page with "==Changes and Bug Fixes in Version 8.8== Version 8.8 of PLS_Toolbox and Solo was released in December, 2019. For general product information, see [http://www.eigenvector.com/...")
 
 
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==New Features in Solo and PLS_Toolbox==
==New Features in Solo and PLS_Toolbox==


* Parallel computing initialization tools to allow PLS_Toolbox to use the Parallel Computing Toolbox..
* [[Initevripct|Parallel computing initialization tools]] to allow PLS_Toolbox to use the Parallel Computing Toolbox..
* ANN-DA - Artificial Neural Net discriminant analysis.
* [[annda|ANN-DA]] - Artificial Neural Net discriminant analysis.
* Add new demo datasets for classification, SIMS_arylate and Iris.
* Add new demo datasets for classification, SIMS_arylate and Iris.
* Updated interface and handling of mscorr preprocessing.
* [[Msc_settings_gui|Updated interface]] and handling of [[mscorr]] preprocessing.
* [[Modeloptimizer| Model Optimizer]] - multiple improvements for usability and multivariate Y.


===Importers===
==Importers==
* JCAMPREADR - Update jar to increased the max number of blocks allowed in imported file from 500 to 50000.
* [[jcampreadr|JCAMPREADR]] - Update jar to increased the max number of blocks allowed in imported file from 500 to 50000.


===Other Changes===
==Other Changes==


{| {{table}}
{| {{table}}
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|----valign="top"
|----valign="top"
|'''ann'''
| '''[[ann]]'''
|
|
* Modify 'bpn' algorithm case to support multi-column y.
* Modify 'bpn' algorithm case to support multi-column y.


|----valign="top"
|----valign="top"
|'''emscorr'''
|'''[[emscorr]]'''
|
|
* Model support for filter options 'p' and 's'.
* Model support for filter options 'p' and 's'.


|----valign="top"
|----valign="top"
|'''matchvars'''
|'''[[matchvars]]'''
|
|
* Update to work with reversed axis scales.
* Update to work with reversed axis scales.
|----valign="top"
|----valign="top"
|'''mlrengine'''
|'''[[mlrengine]]'''
|
|
* Added condmax and output condnum.
* Added condmax and output condnum.
|----valign="top"
|----valign="top"
|'''modeloptimizer'''
|'''[[mscorr]]'''
|
* Add wait bar when applying models to validation data.
|----valign="top"
|'''mscorr'''
|
|
* Allow window input to be a double array of indices.
* Allow window input to be a double array of indices.
|----valign="top"
|----valign="top"
|'''parafac'''
|'''[[parafac]]'''
|
|
* Fixed initialization of threeway suitable arrays usind TLD instead of ATLD.  
* Fixed initialization of threeway suitable arrays usind TLD instead of ATLD.  
Line 60: Line 57:
* Limits on scores in PCA are now based solely on the scores distribution and no longer includes the model origin.  
* Limits on scores in PCA are now based solely on the scores distribution and no longer includes the model origin.  
|----valign="top"
|----valign="top"
|'''svm'''
|'''[[svm]]/[[svmda]]'''
|
|
* Add parallel-for loop usage in optimization.  
* Add parallel-for (parfor) loop usage in parameter optimization for speed-up if Parallel Computing Toolbox is available.  
|----
|----
|}
|}

Latest revision as of 15:06, 20 December 2019

Changes and Bug Fixes in Version 8.8

Version 8.8 of PLS_Toolbox and Solo was released in December, 2019.

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 in Solo and PLS_Toolbox

Importers

  • JCAMPREADR - Update jar to increased the max number of blocks allowed in imported file from 500 to 50000.

Other Changes

File Comment
ann
  • Modify 'bpn' algorithm case to support multi-column y.
emscorr
  • Model support for filter options 'p' and 's'.
matchvars
  • Update to work with reversed axis scales.
mlrengine
  • Added condmax and output condnum.
mscorr
  • Allow window input to be a double array of indices.
parafac
  • Fixed initialization of threeway suitable arrays usind TLD instead of ATLD.
plotscores_pls
  • Updates to studentized residual calucations for PLS and MLR.
plotscoreslimits
  • Limits on scores in PCA are now based solely on the scores distribution and no longer includes the model origin.
svm/svmda
  • Add parallel-for (parfor) loop usage in parameter optimization for speed-up if Parallel Computing Toolbox is available.
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