Yes, we are aware of the formal complaint surrounding Extreme Learning
Machines. Essentially the same algorithm was published in a *1992 *paper
(http://homepage.tudelft.nl/a9p19/papers/icpr_92_random.pdf), *neural
networks with random weights* - more than 10 years before ELMs came to
light.
W
It's a little bit off-topic, and I am really not that much into the literature
to be a judge of that, but just a few days ago there was formal letter of
complaint against ELMs: http://theanonymousemail.com/view/?msg=ZHEZJ1AJ
that I thought you might find interesting.
> On May 7, 2015, at 1:10 A
What Sebastian and Ronnie said. Plus: there are multiple off-the-shelf
neural net pull requests in the process of review, notably those by Issam
Laradji for GSoC 2014. Extreme Learning Machines and Multilayer Perceptrons
should be merged Real Soon Now.
On 7 May 2015 at 14:58, Ronnie Ghose wrote:
neural nets are already well supported in other python libraries and don't
fit the current transformer model that scikit-learn uses
On Thu, May 7, 2015 at 12:55 AM, Sebastian Raschka
wrote:
> I am not one of the core developers, just a typical user, but although I
> think that neural nets would
I am not one of the core developers, just a typical user, but although I think
that neural nets would be a nice addition, I have to admit that I wouldn't
count them as top priority. I think that in applications, neural networks
require far more flexibility for tweaking than the "classic" off-the
Your email spammed again :(
On Tue, May 5, 2015 at 10:41 AM, nafise mehdipoor
wrote:
> Hi,
> Please let me know if there is a way to query the distance between two
> specified points in the BallTree library?
> Thank you
>
> Nafiseh.
>
>
> -
I used to seeking neural network algorithms in sklearn, but I just found a
RBF in it.
There are plenty of Neural Network algorithms, why dose we only support RBF
which is not even a typical neural network ?
I thought the neural networks should be the largest family amount sklearn
algoritms, but it
Hi Luca,
Is it because of the number of trees? In R you're using 10 trees and in
python 20 trees.
Can you provide the output of your algorithm? You only provided the output
of R.
Regards,
On Thu, May 7, 2015 at 1:54 AM, Andreas Mueller wrote:
> https://github.com/scikit-learn/scikit-lear
https://github.com/scikit-learn/scikit-learn/pull/4163
On 05/06/2015 11:38 AM, Luca Puggini wrote:
Dear all,
I am wondering if there is anyone that is working on a python version
of the isolation forest algorithm.
I have written a basic draft of the algorithm but I do not understand
why I g
Dear all,If I want to query points that are in "a specific distance"
(getNearestNeighbours) from "a certain point" how can I query from balltree
library?Thank you.
--
One dashboard for servers and applications across Phy
Dear all,
I am wondering if there is anyone that is working on a python version of
the isolation forest algorithm.
I have written a basic draft of the algorithm but I do not understand why I
get values that are different by the ones obtained with the R version.
if anyone is interested or wants t
Thanks for your information, I've understood the R^2.
At 2015-05-06 03:17:50, "Michael Eickenberg"
wrote:
Under gaussian (and most other) noise and a nonexplicative model the
distribution of r^2 has a negative mode.
As a consequence, sometimes an r^2 score of 0 already implies significant
Hi all,
apologies for the off-topic email but my lab has an opening that might be
of interest of people within this list. The candidate will be strongly
encouraged to open source his contributions and/or interact with this
project.
Best,
Fabian
---
Position as data scientist
Chaire "Ec
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