我有以下对numpy.linalg.lstsq的调用:
http://docs.scipy.org/doc/numpy/reference/generated/numpy.linalg.lstsq.html
x = [[0.69314718] [1.09861229] [1.38629436] [1.60943791] [1.79175947] [1.94591015]]
y = [0. 0.20273255 0.5815754 0.7520387 0.96885669 1.09861229]
l = numpy.linalg.lstsq(x,y)
返回
l - >元组:(array([0.46323573]),array([0.25872885]),1,array([3.63269497]))
有人可以在
中指出等效函数(如果可用)http://commons.apache.org/math/
(或者可能在其他一些Java数学库中......)
答案 0 :(得分:2)
感谢指针Joe。
以下是供参考的代码:
double[][] testSquare = {{0.69314718}, {1.09861229}, {1.38629436}, {1.60943791}, {1.79175947}, {1.94591015}};
RealMatrix matrix = MatrixUtils.createRealMatrix(testSquare);
SingularValueDecomposition svd = new SingularValueDecomposition(matrix);
DecompositionSolver ds=svd.getSolver();
double[] b = {0.0, 0.20273255, 0.5815754, 0.7520387, 0.96885669, 1.09861229};
ds.solve(b)[0];