Hi,
I am new to QuantConnect and absolutely love the features. I am planning to run QuantConnect locally (Python) because I have my own data (not available on QuantConnect) and also plan to apply GPU based Machine Learning. My question is - can you run QuantConnect locally with custom data without docker (assuming running QuantConnect in docker cannot utilize GPU based ML)?
If it is possible, are there any python code samples that can help me get started locally?
I tried looking this up but couldn't find any definitive answer.
Thanks in advance,
AP
Jared Broad
Yes, it's fine to do without Docker but due to the difficulties of setting it up correctly we don't recommend it. It takes one of our team many days to get the docker setup perfectly built.
You can just follow the Dockerfile setup process to install it into the root operating system.
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Arijit Paul
Jared,
Does GPU work from within docker?
Thanks,
Arijit
Jared Broad
Many of the packages will need to be installed with GPU builds. It's on our list to do a version of the DockerfileFoundation for GPUs. If you'd like to contribute this to LEAN we can work with you in Slack to get it to build and merged to LEAN!
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
Baba gi
+1 please support GPUs !
Either as part of a backtest node (prefered), or as part of lean
Arijit Paul
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
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