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Answered
I Am Looking For A "Hello World" Example To Do 3 Tasks: Data=Preprocessdata() //Local Processing Model=Trainmodel(Data) // On Cloud Processing On A Custom Container Say Using Pytorch Or Keras Results=Evaluatemodel(Model, Testdata) //Local Processing

I am looking for a "hello world" example to do 3 Tasks:
data=preprocessData() //local processing
model=trainModel(data) // on cloud processing on a custom container say using pytorch or keras
results=evaluateModel(model, testdata) //local processing

  
  
Posted 3 years ago
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Answers 3


I have ~100GB of data that I do not wish to upload to the trains-server. Instead, I would like to have them copied only to host machine (azure container) at training time.
The data is in Azure blob storage and will be copied using a custom script just before training starts.

  
  
Posted 3 years ago

LazyLeopard18 you can point the artifact directly to your azure object storage and have StorageManager download and cache it for you:

  
  
Posted 3 years ago
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3 Answers
3 years ago
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