Frank
Frank
- Runners should also log the wall-clock time for logged values. We can extract the aforementioned time to achieve a target error in the post-processing step. - For completeness, and...
The `quadratic_deep` problem for PyTorch has been updated and slightly changed. It is now re-written as a sequential "neural network". This allows compatibility for example with BackPACK. The TensorFlow version...
The user should be able to set the optimizer name by passing a string to the runner instance. This makes it possible to seperate `SGD/Momentum/Nesterov` in `PyTorch` and gives more...
The device on which the training of the runner is performed should by settable as an argument in the `run()` method. For both frameworks. This allows for more flexible hardware...
Implement a method `tuner.generate_commands_for_rerun()`. This methods should return the re-runs needed to be done once the best hyperparameter instance has been found.
## Description We need to check whether the user experience of self-reporting is clear and easy. This might require additional code or scripts to make self-reporting as easy as possible....