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Using OpenForecast from PHP
Paul Mars has written a very good article explaining how to use OpenForecast from within your PHP code. The article is available at:
http://www.managementscience.nl/mos/index.php?option=com_content&task=view&id=44
2005-11-11 00:03:56 UTC by sgould
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OpenForecast featured in OR/MS Today 2004 Forecasting Survey
OpenForecast was featured in the 2004 Forecasting Software Survey that appeared in the OR/MS Today December 2004 issue. For the on-line article, refer to:
http://lionhrtpub.com/orms/surveys/FSS/fss-fr.html
2005-03-11 03:41:14 UTC by sgould
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New book devotes entire chapter to OpenForecast
A new book by Teo Lachev has just been released by Manning Publications (http://www.manning.com/lachev). Titled, "Microsoft Reporting Services in Action", the book described the Microsoft .NET Reporting Services. Chapter 6 is available for free preview at http://www.manning-source.com/books/lachev/lachev_chp6.pdf and makes extensive use of OpenForecast.
Even if you're not using Visual J# and Microsoft .NET, you may still find the chapter on OpenForecast and reporting to be very helpful in your development.
Now, you might think why is a Java library featured in a book on Microsoft .NET. The cool thing is the way Teo was able to import the OpenForecast source code into Visual J#, then package it as a .NET component. Don't contact me for details on this - just see how he did it in the preview chapter.
Thanks to Teo's help earlier in 2004, I made some minor changes to the OpenForecast source code enabling easier migration to Visual J# for those that may need to do this.
2004-08-09 03:08:35 UTC by sgould
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OpenForecast joins java.net
OpenForecast has just joined and been approved as a java.net member project. See the following URL for a list of all Java tools listed under the java.net community:
http://community.java.net/projects/community/javatools
2004-04-06 04:39:56 UTC by sgould
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OpenForecast 0.4.0 released
OpenForecast is a package of general purpose, forecasting models written in Java that can be applied to any data series. No knowledge of forecasting is required. Using this package, the most appropriate algorithm for your data will be selected.
OpenForecast 0.4.0 was released on March 31, 2004. It is the largest update to date, and adds a number of new features including:
* an improved intelligent forecaster
* the addition of two new package with helper classes to ease the input and output of forecasting data.
* support for single, double and triple exponential smoothing models
* a re-organization of the examples and tests into a more standard directory structure.
* additional samples and tests
* updates to use JFreeChart 0.9.16 and JCommon 0.9.1
* minor changes to ease the compilation under Microsoft's C# .NET.
Either visit the OpenForecast web site (at http://openforecast.sourceforge.net), or the OpenForecast project page (on SourceForge at http://sourceforge.net/projects/openforecast) for more details. Alternatively, you can go directly to the download page at http://sourceforge.net/project/showfiles.php?group_id=64366&package_id=61519&release_id=227737";.
2004-04-01 05:31:26 UTC by sgould
