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Hi there
I'm new to QuantConnect, in fact I just set up my subscription this weekend. I'm really excited by what I've seen so far!
I'm trying to figure out the best way to load or access an ML model that I've trained on AWS. I see that boto3 is available, but my first attempt at accessing it from a notebook gave me an error that looked like the environment was missing the s3transfer module. Before banging my head up against that wall, I figured I'd check the forum to see if reading/writing to an s3 bucket was allowed.
Other than reading or writing my pytorch models from S3, is there a better solution?
Thanks for your help
Mislav Sagovac
I had same problems before. As I remembere, I couldn't import the model saved in pickle format (it was not supported by QC, not sure if they have added that freature).
My solution was to serialize the ML model, save it as json and than import it using self.Download method in Initialize part (
https://www.quantconnect.com/docs/algorithm-reference/importing-custom-data).
There is another way. You train Ml model in research file, than save it as ObjectStore:Â
https://www.quantconnect.com/docs/algorithm-reference/machine-learningÂ
Tom Wilger
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