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gpu
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Provide a recepie for training a model on MovieLens data (20M and 1M).
This should include the following:
- Data converter. Consider fixing/adjusting this script
- Train/Eval/Test split. Training test ratings should come before any Eval and Test rat
Heston model has accurate density approximations for European option prices, which are of interest.
The module implementing this method should live under tf_quant_finance/volatility/heston_approximation.py. It should support both European option puts and calls approximations. Tests should be in heston_approximation_test.py in the same folder.
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In web version, update function void OpenShellURL(const std::string& url) to open link in a new browser tab.
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Hi Atlas Team,
for me it would be very convenient to be able to rename or delete projects on the project overview page in atlas (and all related files from the experiments), thus my feature request is to add such functionality. :)
Sebastian
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Hi ,
I have tried out both loss.backward() and model_engine.backward(loss) for my code. There are several subtle differences that I have observed , for one retain_graph = True does not work for model_engine.backward(loss) . This is creating a problem since buffers are not being retained every time I run the code for some reason.
Please look into this if you could.