Baal 2.0: Experiment API

Quite a large update with a renewed experience for researchers: Experiment API.

Nonetheless, production users will benefit from EPIG, the new SotA in Active Learning!

Experiment API
The new experiment object will simplify your experiments by reducing it to a 1-liner.

EPIG
Contribution from @reeshipaul @Dref360 and @fbickfordsmith, EPIG is the new state-of-the-art in Bayesian Active Learning.
It better estimates the predictive uncertainty than PowerBALD and considers the labeled training set.

Stopping Criterion
A new object that helps you stop an experiment when reaching your labeling budget or a plateau in uncertainty/performance.

Breaking Changes

• Arguments in ModelWrapper.*_on_dataset have been for the most part moved to TrainingArguments and are included in ModelWrapper constructor. Visit the documentation for more details.

What's Changed

• Add Stopping Criteria for loop by @Dref360 in #286
• Add EPIG by @reeshipaul @Dref360 @fbickfordsmith in #293
• Add Args to ModelWrapper to simplify common API by @Dref360 in #294
• Add documentation for criterion by @Dref360 in #297
• Experiment API v2 by @Dref360 in #296

Full Changelog: v1.9.2...v2.0.0