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Safe a model

Hi, 

I'm working in a Reinforcement Learning Model, using TensorFlow. 
Since the algorithm is training online, I wish to save the model to a file after the backtest period is end.

I'm using the following code to save the model after a training epoch is finished:

saver = tf.train.Saver()

with tf.Session() as sess:

### Some training code ###

save_path = saver.save(sess, "/tmp/model.ckpt")

So, finally, I save the model in the "tmp" folder.

Now, my question is: How can I download this file from the server? 

And, even more important, how can I upload another file to the same server?

 

Thanks a lot for your help.
 

Update Backtest







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At the moment, we cannot upload or download files in a tmp folder.
It is a feature that we have been working on to address the trained models issue.

1

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.


Update Backtest





0

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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