HoloPRO Interface and Variableselectiongui: Difference between pages

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==Introduction==
==Introduction==


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.
The Variable Selection panel contains an interface to several methods for performing variable selection. The goal is to find subsets of variables that improve predictions when compared to using all variables. This interface has several different methods available. Finding the best method and options settings will take some experimentation. Use links below for more information on particular methods.


==Solo_Predictor Interface==
==Methods==
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==
* Automatic (VIP or sRatio)
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.
* GA - Genetic Algorithm
* iPLS - Interval PLS
* rPLS - Recursive PLS
* sRatio - Selectivity Ratio
* VIP - Variable Importance in Projection


==PLS_Toolbox Interface==
==Work Flow==
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].


====Licensing====
* <u>Select a Method</u> - Select a method from the drop-down menu. Options for the method will be displayed. If a previous calculation has been done, the results of it will be displayed.  
 
* <u>Adjust Options</u> - By default, a simplified set of options are displayed. If the "Show All Options" checkbox is selected then all available options will be displayed. Depending on the options set, a particular method can take an extended amount of time to complete. For example, decreasing the window width in GA will increase the amount of time it takes to complete. See documentation for more details on optional settings.
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.
* <u>Run Variable Selection</u> - Clicking the "Execute" button will run the current variable selection method with values specified in the options. A waitbar will be displayed indicating the method is running. Some methods will display a waitbar with a message indicating it can be closed to cancel execution. NOTE: It can take some time for the method to finish a calculation loop and identify the user has canceled. If "Show Plots" is checked then any additional plots will be displayed in separate windows. This is useful for GA as it will show progress of the calculation.
 
* <u>View Results</u> - When a calculation is complete the selected variables will be displayed under a plot of the data mean as green bars.
====Configuration====
For best performance, it is recommended that you follow these instructions to configure Matlab and PLS_Toolbox:
 
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:
# 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].
# 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.)

Revision as of 14:24, 11 January 2018

Introduction

The Variable Selection panel contains an interface to several methods for performing variable selection. The goal is to find subsets of variables that improve predictions when compared to using all variables. This interface has several different methods available. Finding the best method and options settings will take some experimentation. Use links below for more information on particular methods.

Methods

  • Automatic (VIP or sRatio)
  • GA - Genetic Algorithm
  • iPLS - Interval PLS
  • rPLS - Recursive PLS
  • sRatio - Selectivity Ratio
  • VIP - Variable Importance in Projection

Work Flow

  • Select a Method - Select a method from the drop-down menu. Options for the method will be displayed. If a previous calculation has been done, the results of it will be displayed.
  • Adjust Options - By default, a simplified set of options are displayed. If the "Show All Options" checkbox is selected then all available options will be displayed. Depending on the options set, a particular method can take an extended amount of time to complete. For example, decreasing the window width in GA will increase the amount of time it takes to complete. See documentation for more details on optional settings.
  • Run Variable Selection - Clicking the "Execute" button will run the current variable selection method with values specified in the options. A waitbar will be displayed indicating the method is running. Some methods will display a waitbar with a message indicating it can be closed to cancel execution. NOTE: It can take some time for the method to finish a calculation loop and identify the user has canceled. If "Show Plots" is checked then any additional plots will be displayed in separate windows. This is useful for GA as it will show progress of the calculation.
  • View Results - When a calculation is complete the selected variables will be displayed under a plot of the data mean as green bars.
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