> However, these are typically considered "machine learning" techniques;
when someone says "AI", they typically mean a Neural Network.
I am sorry but I disagree:
https://en.wikipedia.org/wiki/Artificial_intelligence
On 29 March 2018 at 06:47, Andrew Howe wrote:
> Hi Jinwoo
>
> It is true that s
Hi scikit-learners,
I have a simple Pipeline with Feature Selection and SVC classifier and I
use it in a cross validation schema with cross_validate /
cross_validation_score functions.
I need to extract the selected features for each fold of the CV and in
general get information about the fitted e
Hi all,
We are currently trying to add to the metric-learn package
(https://github.com/metric-learn/metric-learn) a feature that would
allow to do cross-validation with Weakly Supervised Metric Learners
using scikit-learn's cross-validation routines.
Distance Metric Learning algorithms learn
(Sorry, I sent this mail as a reply instead of starting a new thread...
Here is the new thread.)
Hi all,
We are currently trying to add to the metric-learn package
(https://github.com/metric-learn/metric-learn) a feature that would
allow to do cross-validation with Weakly Supervised Metric Le
Hey Jinwoo,
Sounds like you're in a tough situation.
Not sure why people are responding with discussions of the true meaning of
AI.
As far as getting things out of xml goes, you can use the module ElemenTree
that's in the standard Python library.
https://eli.thegreenplace.net/2012/03/15/processin
