HoloPRO Interface and Release Notes Version 8 6 1: Difference between pages

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==Introduction==
==Changes and Bug Fixes in Version 8.6.1==


Kaiser Optical Systems' HoloPRO software supports calls into either Solo_Predictor (as of v3.2.0.5) or Matlab. The sections below give some background and basic information on using HoloPRO software with Eigenvector Research products. [http://www.kosi.com Contact Kaiser Optical Systems] for more information on interfacing to Matlab or using the Solo_Predictor interfacing options of HoloPRO.
{| {{table}}
| align="center" style="background:#f0f0f0;"|'''File'''
| align="center" style="background:#f0f0f0;"|'''Comment'''


==Solo_Predictor Interface==
For making predictions using Solo_Predictor, a regression model can be specified and HoloPRO will automatically extract the available information from that model. For best interfacing, it is recommended you build models which include labels on your y-block columns to clearly identify the predicted species.


==Model_Exporter Interface==
|----valign="top"
To use Eigenvector Research models which have been exported using Model_Exporter, HoloPRO supports calling into Matlab which can be scripted to return results from the model of interest. The Model_Exporter models can be called directly and do not require any additional software beyond Matlab and HoloPRO.
|'''Variable Selection'''
|
* Fixes for using variable selections with more than one window open.


==PLS_Toolbox Interface==
|----valign="top"
To use Eigenvector models with PLS_Toolbox natively (without using Model_Exporter) HoloPRO's Matlab interface can be used along with custom scripts to return results from the model of interest. For assistance with scripting for these situations, [mailto:helpdesk@eigenvector.com contact our Helpdesk].
|'''Context Menus'''
|
* Fixes for context menu positioning high DPI systems.


====Licensing====


Note that the [http://www.eigenvector.com/software/license_evri.html PLS_Toolbox license] requires that, unless special site licensing arrangements are made, you must obtain a separate PLS_Toolbox license for each instance of any PLS_Toolbox code you wish to deploy. Special licensing options are available. See the [http://www.eigenvector.com Eigenvector Website] for more information.
|----valign="top"
|'''[[asca]]'''
|
* Update ssq_tot calculation for using included samples only.


====Configuration====
|----valign="top"
For best performance, it is recommended that you follow these instructions to configure Matlab and PLS_Toolbox:
|'''[[dendrogram]]'''
|
* User can now choose to add the created cluster class to the x-block instead of only being allowed to overwrite an existing class.


With Matlab already installed (as per [http://www.mathworks.com The Mathworks installation instructions]), PLS_Toolbox can be copied onto the target computer using any of the available file types as described in the [[Installation|standard installation instructions]]. The primary differences from the standard installation will be that you will create two special files and place these files into the PLS_Toolbox/utilities folder on the target computer:
|----valign="top"
# Create a text file named '''evrilicense.lic''' and put your license code (available from the [http://download.eigenvector.com Eigenvector Research download page]) as a single line in that file. You can also obtain a evrilicense.lic file from the [mailto:helpdesk@eigenvector.com Eigenvector Helpdesk].
|'''[[estimatefactors]]'''
# Create an ''empty'' text file named '''evrinetwork.lic'''. This file will instruct PLS_Toolbox to ignore installation errors and run without warnings (necessary when calling PLS_Toolbox functions from within SiPAT.)
|
* Add check to avoid columns which have NaN std dev.
 
|----valign="top"
|'''[[matchrows]]'''
|
* Add option for requiring unique labels.  
 
|----valign="top"
|'''[[splitcaltest]]'''
|
* Fix bug if replicates classset was not first classset.
 
|----valign="top"
|'''[[xlsreadr]]'''
|
* Update to avoid using 'basic' mode to better handle date conversion from Excel to Matlab.
|----
|}

Revision as of 11:28, 22 February 2018

Changes and Bug Fixes in Version 8.6.1

File Comment


Variable Selection
  • Fixes for using variable selections with more than one window open.
Context Menus
  • Fixes for context menu positioning high DPI systems.


asca
  • Update ssq_tot calculation for using included samples only.
dendrogram
  • User can now choose to add the created cluster class to the x-block instead of only being allowed to overwrite an existing class.
estimatefactors
  • Add check to avoid columns which have NaN std dev.
matchrows
  • Add option for requiring unique labels.
splitcaltest
  • Fix bug if replicates classset was not first classset.
xlsreadr
  • Update to avoid using 'basic' mode to better handle date conversion from Excel to Matlab.