Release Notes Model Exporter Version 4 1: Difference between revisions

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* Added support for exporting [https://www.wiki.eigenvector.com/index.php?title=Clsti CLSTI] models to Matlab, Python, and XML (and JavaInterpreter).
* Added support for exporting [https://www.wiki.eigenvector.com/index.php?title=Clsti CLSTI] models to Matlab, Python, and XML (and JavaInterpreter).


* Added support for exporting [https://www.wiki.eigenvector.com/index.php?title=Annda ANNDA] and [https://www.wiki.eigenvector.com/index.php?title=Anndlda ANNDLDA] models to Matlab, Python, and XML (and JavaInterpreter). Please contact Helpdesk before exporting ANNDLDA models to XML.
* Added support for exporting [https://www.wiki.eigenvector.com/index.php?title=Annda ANNDA] and [https://www.wiki.eigenvector.com/index.php?title=Anndlda ANNDLDA] models to Matlab, Python, and XML (and JavaInterpreter). Please contact Helpdesk before exporting ANNDA or ANNDLDA models to XML.


* Changes to [https://www.wiki.eigenvector.com/index.php?title=Model_Exporter_Interpreter#Java_Interpreter JavaInterpreter]: Added methods which can be used once model is loaded and before it makes a prediction:
* Changes to [https://www.wiki.eigenvector.com/index.php?title=Model_Exporter_Interpreter#Java_Interpreter JavaInterpreter]: Added methods which can be used once model is loaded and before it makes a prediction:
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# New method 'String getYhatNames();' which returns either Y-block variable label (regression) or classnames (classification), or model.classification.classids for CLSTI models. See XML's 'information/yhatnames' element.
# New method 'String getYhatNames();' which returns either Y-block variable label (regression) or classnames (classification), or model.classification.classids for CLSTI models. See XML's 'information/yhatnames' element.


* Changes to [https://www.wiki.eigenvector.com/index.php?title=Model_Exporter_Interpreter#Microsoft_.NET_Interpreter .NET Interpreter]: Added methods 'outputs' and 'axisscale'. These return  the 'information/outputs' and 'inputdata/axisscale' elements in the exported model XML file and correspond to the model’s calibration Y-block variable labels and X-block variable’s axisscale respectively, returning String[] and double[] respectively. They can be used after a prediction has been made.
* Changes to [https://www.wiki.eigenvector.com/index.php?title=Model_Exporter_Interpreter#Microsoft_.NET_Interpreter .NET Interpreter]: Added methods 'outputs' and 'axisscale'. These return  the 'information/outputs' and 'inputdata/axisscale' elements in the exported model XML file and correspond to the model’s calibration Y-block variable labels and X-block variable’s axisscale respectively, returning String[] and double[] respectively. These methods can be used after a prediction has been made.


* Fixed bug in exported 'Normalize' preprocessing whenever the window field is used and there are excluded variables.
* Fixed bug in exported 'Normalize' preprocessing whenever the window field is used and there are excluded variables.

Latest revision as of 17:52, 2 February 2024

Version 4.1 of Model_Exporter was released in December, 2023. For general product information, see Model_Exporter_User_Guide.

NEW FEATURES / FIXES

  • Added support for exporting CLSTI models to Matlab, Python, and XML (and JavaInterpreter).
  • Added support for exporting ANNDA and ANNDLDA models to Matlab, Python, and XML (and JavaInterpreter). Please contact Helpdesk before exporting ANNDA or ANNDLDA models to XML.
  • Changes to JavaInterpreter: Added methods which can be used once model is loaded and before it makes a prediction:
  1. New methods 'String getPredFieldNames();' and 'String getPredFieldDims();' to get the names and dimensions of predicted quantities. Currently only done for model types PCA, PCR, PLS, and CLS.
  2. New method 'String getYhatNames();' which returns either Y-block variable label (regression) or classnames (classification), or model.classification.classids for CLSTI models. See XML's 'information/yhatnames' element.
  • Changes to .NET Interpreter: Added methods 'outputs' and 'axisscale'. These return the 'information/outputs' and 'inputdata/axisscale' elements in the exported model XML file and correspond to the model’s calibration Y-block variable labels and X-block variable’s axisscale respectively, returning String[] and double[] respectively. These methods can be used after a prediction has been made.
  • Fixed bug in exported 'Normalize' preprocessing whenever the window field is used and there are excluded variables.