improve formatting of NEWS

NEWS.md

@@ -2,14 +2,14 @@
 
 ## New features
 
-* Allow model fine-tuning through passing a pre-trained model to tabnet_fit() (@cregouby, #26)
+* Allow model fine-tuning through passing a pre-trained model to `tabnet_fit()` (@cregouby, #26)
 * Explicit error in case of missing values (@cregouby, #24)
-* Better handling of larger datasets when running `tabnet_explain`.
-* Add tabnet_pretrain() for unsupervised pretraining (@cregouby, #29)
-* Add autoplot() of model loss among epochs (@cregouby, #36)
-* Added a `config` argument to fit/pretrain functions so one can pass a pre-made config list. (#42)
-* Add `mask_type` configuration option with `entmax` additional to `sparsemax` (@cmcmaster1, #48)
-* Allow `tabnet_config(loss=)` to be a function (@cregouby, #55)
+* Better handling of larger datasets when running `tabnet_explain()`.
+* Add `tabnet_pretrain()` for unsupervised pretraining (@cregouby, #29)
+* Add `autoplot()` of model loss among epochs (@cregouby, #36)
+* Added a `config` argument to `fit() / pretrain()` so one can pass a pre-made config list. (#42)
+* In `tabnet_config()`, new `mask_type` option with `entmax` additional to default `sparsemax` (@cmcmaster1, #48)
+* In `tabnet_config()`, `loss` now also takes function (@cregouby, #55)
 
 ## Bugfixes