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33## New features
44
5- * messaging improved with {cli}
5+ * messaging is now improved with {cli}
66* add optimal threshold and support size into new 1.5 alpha ` entmax15() ` and ` sparsemax15() `
77 ` mask_types ` . Add an optional ` mask_topk ` config parameter. (#180 )
8- * tabnet is now using the ` torch_ignite_adam ` when available.
8+ * ` optimizer ` now default to the ` torch_ignite_adam ` when available.
99 Result is 30% faster pretraining and fitting tasks (#178 ).
1010* add ` nn_aum_loss() ` function for area under the $Min(FPR,FNR)$ optimization for cases of
1111 unbalanced binary classification (#178 ).
1212* add a vignette on imbalanced binary classification with ` nn_aum_loss() ` (#178 ).
1313
1414## Bugfixes
1515
16- * fix config parameter merging issues when parameter is a torch loss or torch optimizer generator.
16+ * config parameter now merge correctly for torch loss or torch optimizer generator.
1717* ` nn_unsupervised_loss() ` is now a proper loss function.
1818
1919# tabnet 0.7.0
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