> My hope is that with machine learning we can detect when an object is
> missing, or configured in error, or duplicates.
These look like simple correctness issues that I'd address with
programming.
Why do you want to use a learned approach? Do you think it will be
faster to develop, or have a faster runtime?
Bill
--
Phobrain.com
On 2022-10-08 01:57, Mike Oliver wrote:
> Dear Sirs,
>
> I am evaluating SciKit-Learn for a new project. I am hoping to find a AI
> Machine Learning package that can take a large dataset of objects that have
> various object types and attributes. These objects are typically related to
> other objects, such as a server to a Wifi device, or two network routers to
> each other, etc. When these objects are setup data is gathered about where
> they are located, what settings there are, the device type, etc.
>
> With large organizations there can be thousands of these objects and tens of
> thousands of relationships, descriptions, settings, etc. My hope is that
> with machine learning we can detect when an object is missing, or configured
> in error, or duplicates.
>
> The question is, will SciKit-Learn help with this problem? I understand that
> we will have to train it to identify what to look for and then act on what
> was found and predicted to be the solution algorithm. Or instructions.
>
> Thanks for your help,
>
> Great looking product and already have the tutorial up and running and have
> installed it in my Django platform.
>
> Mike
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