[scikit-learn] isotonic regression weird behavior?

[Jonathan Taylor]

Should have included:

In [*22*]: iso

Out[*22*]: <module 'sklearn.isotonic' from
'/Users/jonathantaylor/anaconda/envs/py27/lib/python2.7/site-packages/sklearn/isotonic.pyc'>

On Tue, Jun 21, 2016 at 7:18 PM, Jonathan Taylor <
jonathan.taylor at stanford.edu> wrote:

> Was trying to fit isotonic regression with non-trivial y_min and y_max:
>
> In [*17*]: X
>
> Out[*17*]:
>
> array([ 1.26336413,  1.31853693, -0.57200917,  0.3072928 , -0.70686507,
>
>        -0.17614937, -1.59943059,  1.05908504,  1.3958263 ,  1.90580318,
>
>         0.20992272,  0.02836316, -0.08092235,  0.44438247,  0.01791253,
>
>        -0.3771914 , -0.89577538, -0.37726249, -1.32687569,  0.18013201])
>
>
> In [*18*]: iso.isotonic_regression(X, y_min=0, y_max=0.1)
>
> Out[*18*]:
>
> array([-0.00826919, -0.00826919, -0.00826919, -0.00826919, -0.00826919,
>
>        -0.00826919, -0.00826919,  0.10449344,  0.10449344,  0.10449344,
>
>         0.10449344,  0.10449344,  0.10449344,  0.10449344,  0.10449344,
>
>         0.10449344,  0.10449344,  0.10449344,  0.10449344,  0.10449344])
>
>
> The solution does not satisfy the bounds that each entry should be in
> [0,0.1]
>
>
>
> --
> Jonathan Taylor
> Dept. of Statistics
> Sequoia Hall, 137
> 390 Serra Mall
> Stanford, CA 94305
> Tel:   650.723.9230
> Fax:   650.725.8977
> Web: http://www-stat.stanford.edu/~jtaylo
>



-- 
Jonathan Taylor
Dept. of Statistics
Sequoia Hall, 137
390 Serra Mall
Stanford, CA 94305
Tel:   650.723.9230
Fax:   650.725.8977
Web: http://www-stat.stanford.edu/~jtaylo
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