Merge pull request #11 from alan-turing-institute/dev

For a 1.1.1 release

Author: ablaom

Project.toml

@@ -1,13 +1,13 @@
 name = "StatisticalTraits"
 uuid = "64bff920-2084-43da-a3e6-9bb72801c0c9"
 authors = ["Anthony D. Blaom <[email protected]>"]
-version = "1.0.0"
+version = "1.1.1"
 
 [deps]
-ScientificTypes = "321657f4-b219-11e9-178b-2701a2544e81"
+ScientificTypesBase = "30f210dd-8aff-4c5f-94ba-8e64358c1161"
 
 [compat]
-ScientificTypes = "^1"
+ScientificTypesBase = "^1"
 julia = "^1"
 
 [extras]

src/StatisticalTraits.jl

@@ -1,6 +1,6 @@
 module StatisticalTraits
 
-using ScientificTypes
+using ScientificTypesBase
 import Base.instances
 
 ## CONSTANTS
@@ -33,7 +33,8 @@ const TRAITS = [
     :is_feature_dependent,
     :distribution_type,
     :iteration_parameter,
-    :supports_training_losses
+    :supports_training_losses,
+    :deep_properties
 ]
 
 
@@ -124,7 +125,7 @@ snakecase(s::Symbol) = Symbol(snakecase(string(s)))
 ## TRAITS
 
 # The following can return any scientific type, that is, any type
-# defined in the package ScientificTypes.jl, and any ordinary type
+# defined in the package ScientificTypesBase.jl, and any ordinary type
 # that functions as a scientific type (eg, `Missing`). Here "target"
 # is a synonym for "labels", as in supervised learning; "input" is a
 # synonym for "features":
@@ -168,6 +169,7 @@ reports_each_observation(::Type) = false
 distribution_type(::Type)        = missing
 iteration_parameter(::Type)      = nothing
 supports_training_losses(::Type) = false
+deep_properties(::Type) = ()
 
 # Returns a tuple, with one entry per field of `T` (the type of some
 # statistical model, for example). Each entry is `nothing` or defines
@@ -205,11 +207,11 @@ traits that are meaninful for the object.
 *Note on overloading.* This method can be overloaded directly, as in
 `info(X::SomeAbstractType) = ...` or, using `info(X,
 ::Val{:some_trait}) = ...` where `:some_trait` is a key of
-`ScientificTypes.TRAIT_FUNCTION_GIVEN_NAME` (such as `:is_measure`
+`ScientificTypesBase.TRAIT_FUNCTION_GIVEN_NAME` (such as `:is_measure`
 with value `is_measure`).
 
 """
-info(X) = info(X, Val(ScientificTypes.trait(X)))
+info(X) = info(X, Val(ScientificTypesBase.trait(X)))
 info(X, ::Val{:other}) = NamedTuple()
 
 end # module

test/runtests.jl

@@ -1,6 +1,6 @@
 using Test
 using StatisticalTraits
-using ScientificTypes
+using ScientificTypesBase
 import SparseArrays
 
 module Fruit