Saber is a deep-learning based tool for information extraction in the biomedical domain. Pull requests are welcome! Note: this is a work in progress. Many things are broken, and the codebase is not stable.
The Metrics class is a bit of a mess. It should behave more like a Keras History callback, and should be the returned object from a call to saber.train().
This would make hyperparm tuning much easier. E.g. a simple script could be written to collect the average performance of some metric or loss from the Metrics object returned by saber.train(), and tune against it.
The
Metricsclass is a bit of a mess. It should behave more like a KerasHistorycallback, and should be the returned object from a call tosaber.train().This would make hyperparm tuning much easier. E.g. a simple script could be written to collect the average performance of some metric or loss from the
Metricsobject returned bysaber.train(), and tune against it.