diff options
author | Erich Schubert <erich@debian.org> | 2012-06-02 17:47:03 +0200 |
---|---|---|
committer | Andrej Shadura <andrewsh@debian.org> | 2019-03-09 22:30:32 +0000 |
commit | 593eae6c91717eb9f4ff5088ba460dd4210509c0 (patch) | |
tree | d97e8cefb48773a382542e9e9d4a6796202a044a /src/de/lmu/ifi/dbs/elki/math/statistics/PolynomialRegression.java | |
parent | e580e42664ca92fbf8792bc39b8d59383db829fe (diff) | |
parent | c36aa2a8fd31ca5e225ff30278e910070cd2c8c1 (diff) |
Import Debian changes 0.5.0~beta2-1
elki (0.5.0~beta2-1) unstable; urgency=low
* New upstream beta release.
* Needs GNU Trove 3, in NEW.
* Build with OpenJDK7, as OpenJDK6 complains.
elki (0.5.0~beta1-1) unstable; urgency=low
* New upstream beta release.
* Needs GNU Trove 3, not yet in Debian (private package)
* Build with OpenJDK7, as OpenJDK6 complains.
Diffstat (limited to 'src/de/lmu/ifi/dbs/elki/math/statistics/PolynomialRegression.java')
-rw-r--r-- | src/de/lmu/ifi/dbs/elki/math/statistics/PolynomialRegression.java | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/math/statistics/PolynomialRegression.java b/src/de/lmu/ifi/dbs/elki/math/statistics/PolynomialRegression.java index 1b785f75..b1bfe31b 100644 --- a/src/de/lmu/ifi/dbs/elki/math/statistics/PolynomialRegression.java +++ b/src/de/lmu/ifi/dbs/elki/math/statistics/PolynomialRegression.java @@ -4,7 +4,7 @@ package de.lmu.ifi.dbs.elki.math.statistics; This file is part of ELKI: Environment for Developing KDD-Applications Supported by Index-Structures - Copyright (C) 2011 + Copyright (C) 2012 Ludwig-Maximilians-Universität München Lehr- und Forschungseinheit für Datenbanksysteme ELKI Development Team @@ -62,7 +62,7 @@ public class PolynomialRegression extends MultipleLinearRegression { } private static Matrix xMatrix(Vector x, int p) { - int n = x.getRowDimensionality(); + int n = x.getDimensionality(); Matrix result = new Matrix(n, p + 1); for(int i = 0; i < n; i++) { @@ -79,7 +79,7 @@ public class PolynomialRegression extends MultipleLinearRegression { * @return the adapted coefficient of determination */ public double adaptedCoefficientOfDetermination() { - int n = getEstimatedResiduals().getRowDimensionality(); + int n = getEstimatedResiduals().getDimensionality(); return 1.0 - ((n - 1.0) / (n * 1.0 - p)) * (1 - coefficientOfDetermination()); } |