- Related Resources:Add Image, Calculate Density, Calculate Distance, Calculate Travel Cost, Classify, Classify Pixels Using Deep Learning, Convert Feature to Raster, Convert Raster Function Template, Convert Raster to Feature, Copy Raster, Create Image Collection, Create Viewshed, Delete Image, Delete Image Collection, Detect Objects Using Deep Learning, Determine Optimum Travel Cost Network, Determine Travel Cost Paths to Destinations, Determine Travel Cost Path as Polyline, Export Training Data for Deep Learning, Fill, Flow Accumulation, Flow Direction, Flow Distance, Generate Raster, Install Deep Learning Model, Interpolate Points, List Deep Learning Models, Nibble, Query Deep Learning Model Info, Segment, Stream Link, Summarize Raster Within, Train Classifier, Watershed
- Version Introduced:10.7
The UninstallDeepLearningModel operation is used to uninstall the uploaded deep learning model package (.dlpk) from the raster analysis image server. It will delete the named deep learning model from the image server's configuration store but not the portal item.
The portal item Id of an installed deep learning model package.
Syntax: JSON object describes the input model package.
The response format. The default response format is html.
Values: html | json
When you submit a request, the task assigns a unique job ID for the transaction.
"jobId": "<unique job identifier>",
"jobStatus": "<job status>"
After the initial request is submitted, you can use the jobId to periodically check the status of the job and messages as described in Checking job status. Once the job has successfully completed, you use the jobId to retrieve the results. To track the status, you can make a request of the following form:
https://<raster analysis tools url>/UninstallDeepLearningModel/jobs/<jobId>
When the status of the job request is esriJobSucceeded, you can access the results of the analysis by making a request of the following form:
https://<raster analysis tools url>/Classify/jobs/<jobId>/results/uninstallSucceed
Below is a sample request URL for UninstallDeepLearningModel.
JSON Response example
The response returns the installSucceed output parameter, which has properties for parameter name, data type, and value. The content of the value is the portal item ID of the uninstalled model.