Right, I got it wrong. I was confused with the "result" is not the target
here.
Thanks
Soren
On Mon, Jan 11, 2016 at 5:32 AM, Dominic Laflamme wrote:
> Thanks Joel and Sören,
> Joel, I've been reading up on Structure Learning off the pystruct project
> documentation. It seems to describe my prob
Thanks Joel and Sören,
Joel, I've been reading up on Structure Learning off the pystruct project
documentation. It seems to describe my problem exactly. Thanks!
Dominic
On Sun, Jan 10, 2016 at 9:29 PM, Joel Nothman
wrote:
> I think you've misunderstood this one, Sören. This sounds like it is
I think you've misunderstood this one, Sören. This sounds like it is a
structured learning problem, where the steps are the "target" of the
learning task, and the result is the input example.
Take, for instance, the natural language processing task of dependency
parsing.
The "result" of some late
Sounds like a classification problem. You can try to see the steps as
features and use classification methods e.g. decision tree to train a
model. But it depends on what "reconstruct the steps" and "result" means.
Sören
On 01/09/2016 06:32 AM, Dominic Laflamme wrote:
First I'd like to apologiz
First I'd like to apologize in advanced for the "noobiness" nature of my
question...
I'd like to get some early guidance into which path I should take to help
me solve a problem using machine learning.
The goal would be to use machine learning to "reconstruct the steps" needed
to take in order to
