Release Notes Solo Predictor Version 2 8 2
From Eigenvector Documentation Wiki
Changes and Bug Fixes in Version 2.8.2
Version 2.8.2 of Solo_Predictor was released in December 2012.
Main Program Configuration Changes
- Add "plaindelimiter" configuration option to allow specification of delimiter to use in plain text output (makes parsing easer in some languages). Default is comma-separated.
- Add log_backups field and add help for all backup settings
- Add "header" option to include a specific header with each log file
- Add json parsing and output support
- Change order of "old" log files (oldest log is highest #ed log, most recent is 1)
- Show which default.xml file is being used when status dialog first opens
- Show statusbox message when the user attempts to close the controls using the standard window close control
- Do not store debug messages in buffer if not in debug mode (avoids potential memory leak on very high-load applications)
- Force message buffer dump if a large number of messages have been queued and not written
- Improve status dialog performance (do not redraw menus on each display)
- Better handle when 32-bit version is started without appropriate permissions for automatic configuration to operate.
- Allow creation of evriscript objects directly without @evriscript(____) wrapper. Just call with: @____ and if not recogonized as a standard object but it does match an evrscript method, it will be created as an evriscript object.
- Fix .mat file saving: allow -append and multiple vars
- Fix for reading scripts which have a line consisting of just '%' (or '#' or '//') and a line-feed (caused following line to be skipped)
- Fix for indexing into array with numerical values between 65 and 90 or 97 and 122 (would return empty or possibly throw error)
- Fix to ignore leading or trailing spaces in parsed variable names or strings
- Improved support for LF as end-of-command character
- Add new @predictor object (limited support)
- Remove support for doing 'testing' mode with | (where y-block is passed within x). New approach is to use model object directly: pred = model.apply(x,y);