Hello all! I am trying to create a graph that will analyze Room Names and then make a guess at a space type, based on the similarity of the Room Name and the Space Type Name (eg. Room: “-10 F FREEZER ROOM” Space Type: “Refrigerated Spaces”). I cannot find any descriptions of how the ML nodes from …

:man_facepalming:Forgot to mention. I understand that I could just use many nested IF statements or some similar type of rule set (and will if necessary), but my company has about 50+ Space Types and 1100+ unique Room Names so this would be a bear. I also wanted the graph to get better at its guesse…

Hi Jackson https://www.youtube.com/watch?v=e6WglyUB-7A is a ressource you can use to learn about the way the package works. It is on grasshopper but the underlying principles and software library are the same. Machine learning models don’t take inputs as letters. They need numbers. That’s because …

I posted something similar yesterday… [image] Lunchbox Machine Learning So, I got close, but it’s not quite working? [Capture] This ‘works’ but only if the number of rooms is less than my ‘test’ rooms, which is obviously not ideal… [image] Also the outputs aren’t r…

Thank you very much for the link! I am going to go check that out! The graph that I currently had tried was putting the string values of rooms into the ML nodes. But I can still upload it if you think it would be beneficial.

Mark, I had looked at your post as well! I could not figure out where you were getting the values that you hard coded into the ML node, such as “Alpha” or “Seed”. So I was trying to figure that part out. The rest was very helpful though :+1:

Seed is mentioned in the link, but for the rest I was just guessing and playing around, that’s probably why it didn’t work :smiley: If you find out anything let us know…! :smiley: Machine learning models don’t take inputs as letters. They need numbers. The method shown in the video gives a numb…

It’s awesome that you are taking a look at the ML nodes as well! I did what @jonathanatger and @Mark.Ackerley touched on and dissected the video a bit at the link. I also looked at the source code on their bitbucket to get a grasp of the inputs. One thing I noticed in your post, [image] Jackso…

John, Thanks for the info. Currently, the Room Names and Space Types live in an Excel File. My supervisor who gave me the assignment thought that this would be a good place to store all of the info as the training data. The idea was that if it ran into a space that it guessed incorrectly on, than t…

[image] john_pierson: but where does this data live? hi @john_pierson , can this be one option for the data storage? https://help.autodesk.com/view/RVT/2018/ENU/?guid=Revit_API_Revit_API_Developers_Guide_Advanced_Topics_Storing_Data_in_the_Revit_model_html

Extensible storage is an interesting topic and I’ve seen it used quite a bit. I do think for ML you need the data to be available beyond the active Revit model though and extensible storage lives on the one model you write it to. If it were me I would look at a database of some sort for historical…

ML Nodes from Lunchbox

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Mark.Ackerley June 28, 2019, 1:24pm 4

I posted something similar yesterday…

Hope that’s of interest,

Mark

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