[pymvpa] Regression estimates?

[Per B. Sederberg]

On Wed, Mar 30, 2011 at 11:44 PM, Yaroslav Halchenko
<debian at onerussian.com> wrote:
>
> On Wed, 30 Mar 2011, Per B. Sederberg wrote:
>> clfr = GLMNET_R(alpha=.5, model_type='naive', enable_ca=['estimates'])
>
> so it is a regression.  Wrap with RegressionAsClassifier to gain
> classification ;)
>
> thus metrics for regressions:
>
>> -------> print(sclf.ca.stats)
>> Statistics  Mean  Std   Min      Max
>> ---------- ----- ----- -----    -----
>> Data:
>>    RMP_t   2.285 0.696  1.3       4
>>    STD_t     0     0     0        0
>>    >...<
>

I actually want the regression and not the classifier, but I now
totally understand the stats printout.  I was confused because the CCe
is 1 minus the correlation.

>> Also, I really just want to get the predictions/estimates of the
>> classifier from each fold, but I don't know how to get that out.
>
> those, since you have stats, are also available within
> sclf.ca.stats.sets
>

Awesome!  Yes, I had just found that and the exact keys I needed were:

cv.ca.stats.stats['RMP_p_all']
cv.ca.stats.stats['RMP_t_all']

Now I think I'm all set!

Thanks,
P


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