DOC add more issue links to roadmap
@@ -67,24 +67,25 @@ bottom.
* document current handling
* column reordering issue :issue:`7242`
- * avoiding unnecessary conversion to ndarray
+ * avoiding unnecessary conversion to ndarray :issue:`12147`
* returning DataFrames from transformers :issue:`5523`
- * getting DataFrames from dataset loaders
- * Sparse currently not considered
+ * getting DataFrames from dataset loaders :issue:`10733`, :issue:`13902`
+ * Sparse currently not considered :issue:`12800`
#. Improved handling of categorical features
* Tree-based models should be able to handle both continuous and categorical
features :issue:`4899`
- * In dataset loaders
+ * In dataset loaders :issue:`13902`
* As generic transformers to be used with ColumnTransforms (e.g. ordinal
- encoding supervised by correlation with target variable)
+ encoding supervised by correlation with target variable) :issue:`5853`,
+ :issue:`11805`
#. Improved handling of missing data
* Making sure meta-estimators are lenient towards missing data
- * Non-trivial imputers
- * Learners directly handling missing data
+ * Non-trivial imputers :issue:`11977`, :issue:`12852`
+ * Learners directly handling missing data :issue:`13911`
* An amputation sample generator to make parts of a dataset go missing
* Handling mixtures of categorical and continuous variables
@@ -128,7 +129,7 @@ bottom.
#. Improved tools for model diagnostics and basic inference
- * alternative feature importances implementations (e.g. methods or wrappers)
+ * alternative feature importances implementations, :issue:`13146`
* better ways to handle validation sets when fitting
* better ways to find thresholds / create decision rules :issue:`8614`
