Kim,
You are free -- in fact encouraged -- to create derivative works based on Apache software. Please read the license agreement here
http://www.apache.org/licenses/LICENSE-2.0
and make sure to include a copy of the License and NOTICE.txt in anything that you distribute. Also, if you are modifying APIs or functionality of classes in commons-math, while the license requires only that you provide a notice that you have changed the files, it is best to rename and/or repackage files that have been significantly modified.
We welcome your contributions to commons-math and hope that you will submit design ideas and patches implementing your extensions.
Phil
Kim van der Linde wrote:
For the people who are interested in some extensions to the commons.math package such as "0-based" Matrix class and population variances implemented within the variances class can look here:
http://www.kimvdlinde.com/professional/programming/commonSense/
or download the jar file:
http://www.kimvdlinde.com/professional/programming/commonSense/commonSense.jar
Additionally I have added two classes. The first is called Distances
with matrix based euclidian and mahalanobis distance calculations. The
second is called SpecialMatrices and contains shortcuts for SSCP,
covariance and correlation matrices, as well as difference by row/column
means calculations. Both the correlation as well as he covariance matrices can be estimated using either sample or population variances.
I hope to add in the coming weeks the RMA (Reduced Major Axis) implementation within the SimpleRegression and the MVE (Minimum Volume Elipsoid) to the package, of which the last one is the main reason for my disagreement on the matrix indexing.
So, no objections to relasing RC1.
Kim
Phil Steitz wrote:
I have made the following changes and updated the release candidate here
<http://jakarta.apache.org/~psteitz/commons-math-1.0-RC1/>, as well as the web site <http://jakarta.apache.org/commons/math/>:
1) Changed the name of BivariateRegression to SimpleRegression
2) Added notes in Variance, StatUtils and StandardDeviation javadoc making assumptions about precomputed mean explicit
3) Made standard matrix element indexing convention explicit in RealMatrix, BigMatrix.
4) Incorporated Mark's improvement of developer.xml
If there are no objections, I will send a formal announcement of the RC availablity tomorrow.
Phil
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