Hi James,
In R speak:
The reason you see the advice to choose a higher alpha if nobs < nvars and
a lower alpha if the comparison is that alpha is the mixing weight between
L1 and L2 penalties (whereas lambda is the regularization level) and
because the L1 penalty tends to set more coefficients to
s:
>
>1. Re: Macro and micro weighting in performance metrics
> (Gael Varoquaux)
>2. Metric Learning Algorithms (John Collins)
>3. Re: Metric Learning Algorithms (Robert McGibbon)
>4. Matching Pursuit Toolkit (MPTK) 0.7 released (Dan Stowell)
>5.
Hi there,
A few weeks ago I posted about this. I have been finishing my thesis and
working concurrently and have had no free time but now I have some to
commit to this. At that point Kenneth C. Arnold and Robert McGibbon
mentioned they were also interested. I've done a bit of translation of a
piec
That's also the way I've used these techniques in the past: Build the
matrix A. Transform the space X to Y = A^(1/2) X. Then apply via knn or whatever takes your fancy.
- John
--
Try New Relic Now & We'll Send You this Co
x27;s Topics:
>
>1. Re: Fwd: , Write a book on "Learning Scikit " for Packt
> Publishing (Robert Kern)
>2. Re: Metric Learning Algorithms (John Collins) (Robert
> McGibbon) (John Collins)
>3. Re: Metric Learning Algorithms (Mathieu Blondel)
>
It seems like there is already a manifold learning project in progress.
These two topics are closely related.
http://www.cs.cmu.edu/~liuy/lle_isomap_metric.pdf
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> When replying, please edit your Subject line so it is more specific
> than "Re: Contents of Scikit-learn-general digest..."
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>
> Today's Topics:
>
> 1. R
OME.
>
> I have code implementing Shen, C.; Kim, J.; Wang, L. Scalable large-margin
> Mahalanobis distance metric learning. IEEE Trans. Neural Networks 2010, 21,
> 1524?1530, but it yeah, it's not up to sklearn standards either.
>
> -Robert
>
> On Apr 21, 2013, at 12:49 P
Has anybody or does anybody have plans to implement metric learning
algorithms like ITML in sklearn?
If not, I would like to consider working on this.
Thanks,
John
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Precog is a next-generation analytics platform capabl
