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Add a tutorial for the new Warm-start feature #1029
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storage=current_experiment_storage, | ||
executor=SingleExecutor(), | ||
max_trials=current_experiment_n_runs, | ||
# NOTE: This n_initial_points is changed slightly, since it also counts the trials from |
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It's interesting to make this fair comparison. In practice however would not need to force random points first at the previous results already provide a good basis to start bayesian optimization.
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Ok, should I keep this then? or not?
Signed-off-by: Fabrice Normandin <[email protected]> Use more samples for training of Profet model Signed-off-by: Fabrice Normandin <[email protected]> Warm-start example is a bit better Signed-off-by: Fabrice Normandin <[email protected]> Add more comments in the notebook Signed-off-by: Fabrice Normandin <[email protected]> Use Pytorch mnist/fashionmnist instead, bad Signed-off-by: Fabrice Normandin <[email protected]> [dirty] Trying to find good settings Signed-off-by: Fabrice Normandin <[email protected]> Update example a bit, seems to work much better! Signed-off-by: Fabrice Normandin <[email protected]> Try to make the plot appear Signed-off-by: Fabrice Normandin <[email protected]> Add the pickleddb files for the databases Signed-off-by: Fabrice Normandin <[email protected]> Rename things, image still does show :( Signed-off-by: Fabrice Normandin <[email protected]> Add a thumbnail (image shows up now!) Signed-off-by: Fabrice Normandin <[email protected]> Removed the torch multiprocessing context setting Signed-off-by: Fabrice Normandin <[email protected]> Make path relative so CI will work too Signed-off-by: Fabrice Normandin <[email protected]> Add tutorial to index, add text to describe plot Signed-off-by: Fabrice Normandin <[email protected]> Move databases to avoid any possible abs paths Signed-off-by: Fabrice Normandin <[email protected]> Attempt to fix KnowledgeBase config merge issue Signed-off-by: Fabrice Normandin <[email protected]> Update the pickle files for the example Signed-off-by: Fabrice Normandin <[email protected]> Seed all the randomness, update pickles Signed-off-by: Fabrice Normandin <[email protected]> Fix issue with portability of PickledDB objects Signed-off-by: Fabrice Normandin <[email protected]> Update the pickleddb files for the example Signed-off-by: Fabrice Normandin <[email protected]>
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Signed-off-by: Fabrice Normandin <[email protected]>
Signed-off-by: Fabrice Normandin <[email protected]>
Signed-off-by: Fabrice Normandin <[email protected]>
Signed-off-by: Fabrice Normandin <[email protected]>
Adds an example of how to use the new warm-start feature.
Currently uses the Profet tasks, which require quite a bit of compute to run the first time (GPUS also help, but aren't required).
TODOS:
Current results: