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Blog discussion - GeoAI toolbox (AutoML and Text Analysis tools in ArcGIS Pro 3.0)

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08-31-2022 07:32 AM
NicholasGiner1
Esri Contributor

We recently released two blogs discussing the new GeoAI toolbox in ArcGIS Pro 3.0.  

This discussion is for questions related to the blogs or the tools themselves, or to share how you are using these tools or any feedback you have on them.  

27 Replies
PriyankaTuteja
Esri Contributor

@xingchenc Thanks for reporting the issue. We have logged this as a bug internally. Please expect the fix with Pro 3.3 release.

 

xingchenc
Frequent Contributor

@PriyankaTuteja 

Hi Priyanka,

Thank you ,that's good to know!

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Ol_VUW
by
New Contributor

@PriyankaTuteja @NicholasGiner1 

Hi, 

I am using the Train AutoML and Predict AutoML tools in 3.1. I can successfully train my model using raster data as input, however when using the predict to raster tool it keeps asking for a point file (i.e. the red asterisk never disappears) and so the tool won't run. "Parameter missing error". 

If I train the tool on a point dataset (i.e. extract values from the rasters first), and then also run predict on a point dataset (again with values extracted from the rasters) everything works fine. 

Do you have any suggestions why predict to raster won't run? 

Thanks for your help. 

Cheers,

Ollie

 

AutoML_Issue.png

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mattCSimon1
Occasional Contributor

@Ol_VUW Did you ever figure this out? I might be having the same issue. 

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mattCSimon1
Occasional Contributor

My goal is to predict 28 different ecozone types (acidic cove, northern hardwood, etc) using plot data (n=5,000ish) and about 44 different environmental variables as explanatory variables. Our study is area is large (~7 million acres) and the spatial resolution is fairly fine (5m). I'm running Pro 3.4.0 and can successfully train model on a smaller clipped out area (~700k acres) using only 6 explanatory variables for a smaller subset of ecozone types (n=18, where the total number is greater than 1% of total plots).  However, the Predict Using AutoML errors out consistently after 2.5 hours and provides a generic Error 260204.  

We are testing this modeling approach to see if it works better than our current approach and I have 10 more days to figure it out as I'm using a trial license to gain tool access.

Any help would be appreciated. These seems like a good application of the tools but maybe I'm missing something simple.  

Attached images show result of trying to predict just 4 of the ecozones based on a model trained for those 4 ecozones only. 

 

 

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SupratimBanik
Emerging Contributor

Thank you for reporting this. 

Can you please share the following details:

1. How long did the Training tool run? If you have the tool output, please share that. 
2. Can you try running the prediction on a single ecozone and see if that runs fine? For the purpose of testing, you can also try running it on the same data on which the training was done. 
3. Can you please check if your rasters display name is different than actual raster name? If yes, try changing the display name to the actual name. (This is a workaround until you have the fix which has been made  in the code recently)
4. If the above step is not applicable or does not address your problem, would it be possible to share some sample data and trained model with us to replicate the issue?

Regards

Karthik

mattCSimon1
Occasional Contributor

Thank you for the quick responses Karthik - answers below:

  1. Training took 50 seconds. screen shots of the input and output attached.
  2. Basic model training on a single ecozone fails in 3 seconds for all model types (warning 260151).
  3. Display name is the same as actual raster name.
  4. Zip attached with the 4 ecozone types (corresponds to all screen shots I've shared) and the successfully trained model (.dlpk)

attempting to predict 'ecozone' based on the other six variables in the file.

I could clip rasters to a smaller area, but I still wouldn't be able to attach those without exceeding upload limit. 

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SupratimBanik
Emerging Contributor

Thank you for sharing the details. We would like to know more. Can you please reach out to me at sbanik@esri.com

 

Thanks

Supratim