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5 | 5 |
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6 | 6 | ### Added |
7 | 7 |
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| 8 | +- Introduced `UtilityModel` and two implementations `IndicatorUtilityModel` |
| 9 | + and `DeepSetsUtilityModel` for data utility learning |
| 10 | + [PR #650](https://github.com/aai-institute/pyDVL/pull/650) |
8 | 11 | - Introduced the concept of `ResultUpdater` in order to allow samplers to |
9 | 12 | declare the proper strategy to use by valuations |
10 | 13 | [PR #641](https://github.com/aai-institute/pyDVL/pull/641) |
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56 | 59 | - Fixed `show_warnings=False` not being respected in subprocesses |
57 | 60 | [PR #647](https://github.com/aai-institute/pyDVL/pull/647) |
58 | 61 | - Fixed several bugs in diverse stopping criteria, including: iteration counts, |
59 | | - computing completion and resetting |
| 62 | + computing completion, resetting, nested composition |
60 | 63 | [PR #641](https://github.com/aai-institute/pyDVL/pull/641) |
| 64 | + [PR #650](https://github.com/aai-institute/pyDVL/pull/650) |
61 | 65 | - Fixed all weights of all samplers to ensure that mix-and-matching samplers and |
62 | 66 | semi-value methods always works, for all possible combinations |
63 | 67 | [PR #641](https://github.com/aai-institute/pyDVL/pull/641) |
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88 | 92 | [PR #641](https://github.com/aai-institute/pyDVL/pull/641) |
89 | 93 | - Updated Shapley spotify notebook |
90 | 94 | [PR #628](https://github.com/aai-institute/pyDVL/pull/628) |
| 95 | +- Updated Data Utility notebook |
| 96 | + [PR #650](https://github.com/aai-institute/pyDVL/pull/650) |
91 | 97 | - Restructured and generalized `StratifiedSampler` to allow using heuristics, |
92 | 98 | thus subsuming Variance-Reduced stratified sampling into a unified framework. |
93 | 99 | Implemented the heuristics proposed in that paper |
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