Séb Arnold
Séb Arnold
Until a more efficient visualization template is written, it is difficult to justify loading more than 1000-2000 experiments. So introduce the environment variable `ROVIZ_NRESULTS` which is equal to 1000 by...
Snapshopts are unfinished experiments. The idea is to save partial results (in a dedicated folder) that could be used to implement fancier random search algorithms. (e.g. Population Based Training.) They...
Libraries we might want to cover: - [ ] PyTorch - [ ] TensorFlow - [ ] sklearn - [ ] MxNet - [ ] numpy/scipy
The idea is to execute SQL-like queries on the database of JSON files, for a given experiment. From the programmatic API, this means that you can get a list of...
For now, they only contain guidelines on their content - [ ] Managing Experiments - [x] Optimizing Hyperparams - [x] Visualizing Results
Since you can fetch a JSON summary, you should be able to modify some of its values, and either call `.save()` which creates a new result, or call `.update()` which...
GridSearch is implemented and merged in master, but needs unit tests.
Evolutionary is implemented and merged on master, but needs unit tests.
There should be an easy way to copy / remove results from one experiment to another, programmatically.
Add a button `Export Results` to save selected results in a zip file. All of this can be done in the client side using: https://github.com/Stuk/jszip