Release Notes Solo Predictor Version 2 7: Difference between revisions
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===High-level Changes=== | ===High-level Changes=== | ||
* Updated to be compatible with [[Release_Notes_Version_6_7|PLS_Toolbox/Solo 6.7]] | * Updated to be compatible with [[Release_Notes_Version_6_7|PLS_Toolbox/Solo 6.7]] | ||
* New Configuration page - user prompted for configuration options on first startup. | |||
===[[Importing_Data|Import / Export]]=== | |||
* [[hjyreadr]] - Improved ability to install and manage ActiveX object. | |||
* [[xlsreadr]] - Add support for [http://poi.apache.org/ Apache POI] java API for Windows documents for improved cross platform Excel file reading. | |||
* xclreadr/[[parsemixed]] - add "leadingdelim" option to allow ignoring leading delimiters (rather than replacing them with missing data.) | |||
===Other Method Improvements=== | |||
* [[Sample_Classification_Predictions|Classification methods]] - include "Class Pred Member - multiple" indicating when a sample is being assigned to more than one class. | |||
* [[Sample_Classification_Predictions|Classification methods]] - "Strict Class Assignment" classification threshold can be adjusted using the 'strictthreshold' option (default = 50%). |
Latest revision as of 16:36, 13 March 2012
Changes and Bug Fixes in Version 2.7
Version 2.7 of Solo_Predictor was released in March 2012.
High-level Changes
- Updated to be compatible with PLS_Toolbox/Solo 6.7
- New Configuration page - user prompted for configuration options on first startup.
Import / Export
- hjyreadr - Improved ability to install and manage ActiveX object.
- xlsreadr - Add support for Apache POI java API for Windows documents for improved cross platform Excel file reading.
- xclreadr/parsemixed - add "leadingdelim" option to allow ignoring leading delimiters (rather than replacing them with missing data.)
Other Method Improvements
- Classification methods - include "Class Pred Member - multiple" indicating when a sample is being assigned to more than one class.
- Classification methods - "Strict Class Assignment" classification threshold can be adjusted using the 'strictthreshold' option (default = 50%).