TensorWaves 0.1.3
See all documentation for this version here.
💡 New features
- It's now possible to generate deterministic data samples. By default, generated samples are undeterministic (#168)
- Fit results can be exported through
Callback
s (seetensorwaves.optimizer.callbacks
). This also allows the user to break off a fit and pick it up anytime from the dumped fit result.Callbacks
also offer different ways of logging and monitoring the optimization process (#159)
🔨 Interface changes
- Dynamics have to be configured through the
expertsystem
―tensorwaves
does not provide default dynamics anymore (#180)
📝 Documentation
- The develop/contribute page has been outsourced to the PWA pages (#175)
🖱️ Internals
markdownlint
is run as pre-commit hook, not only as a separatenpm
package (#178)- Angular distribution are now tested with a test structure similar to that of
pycompwa
(#182) - CUDA GPU devices has been disable on GitHub Actions (#183)
- Developer requirements are pinned all the way to indirect dependencies and for each Python version. The corresponding
requirements*.txt
files are updated automatically for each PR and through a cron job (#185)