Assuming I am reaching time limit while training a deep learning model on the online platform, I was considering training it on a local machine. Can I afterwards upload the trained model to quantconnect in order to use it for prediction?
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Assuming I am reaching time limit while training a deep learning model on the online platform, I was considering training it on a local machine. Can I afterwards upload the trained model to quantconnect in order to use it for prediction?
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Derek Melchin
Hi Benoit,
This may be possible, depending on the library used to build the model. With Keras, we can just parse the JSON object representing the model, as demonstrated here. The JSON object would be saved in the ObjectStore, then loaded into the backtester.
Best,
Derek Melchin
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.
Ben
Ben
Benoit Zuber
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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