For a 3.1.0 release (#24)

* add `reports_feature_importances` trait. (#23) * add eports_intrinsic_importances trait. * rename eports_intrinsic_importances trait to eports_feature_importances. * bump 3.1.0 Co-authored-by: Okon Samuel <[email protected]>
JuliaAI · Jul 7, 2022 · 7bdf5c6 · 7bdf5c6
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commit 7bdf5c6
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diff --git a/Project.toml b/Project.toml
@@ -1,7 +1,7 @@
 name = "StatisticalTraits"
 uuid = "64bff920-2084-43da-a3e6-9bb72801c0c9"
 authors = ["Anthony D. Blaom <[email protected]>"]
-version = "3.0.0"
+version = "3.1.0"
 
 [deps]
 ScientificTypesBase = "30f210dd-8aff-4c5f-94ba-8e64358c1161"

diff --git a/src/StatisticalTraits.jl b/src/StatisticalTraits.jl
@@ -34,6 +34,7 @@ const TRAITS = [
     :hyperparameter_ranges,
     :orientation,
     :reports_each_observation,
+    :reports_feature_importances,
     :aggregation,
     :is_feature_dependent,
     :distribution_type,
@@ -176,6 +177,7 @@ orientation(::Type)     = :loss  # or `:score`, `:other`
 aggregation(::Type)     = Mean()
 is_feature_dependent(::Type)     = false
 reports_each_observation(::Type) = false
+reports_feature_importances(::Type) = false
 distribution_type(::Type)        = missing
 iteration_parameter(::Type)      = nothing
 supports_training_losses(::Type) = false