Merge pull request #8 from JuliaAI/dev

For a 0.1.1 release

Author: ablaom

Project.toml

@@ -1,7 +1,7 @@
 name = "LearnDataFrontEnds"
 uuid = "5cca22a3-9356-470e-ba1b-8268d0135a4b"
 authors = ["Anthony D. Blaom <[email protected]>"]
-version = "0.1.0"
+version = "0.1.1"
 
 [deps]
 CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
@@ -12,7 +12,7 @@ Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
 
 [compat]
 CategoricalArrays = "0.10"
-LearnAPI = "0.2"
+LearnAPI = "0.2, 1"
 MLCore = "1.0.0"
 StatsModels = "0.7.4"
 Tables = "1"

src/sage.jl

@@ -60,13 +60,13 @@ training.
   `view=false`. The first option is only available for tables with transposable element
   types (e.g., floats).
 
-- `code_type` determines the internal representation `y` of the target. Possible values are:
+- `code_type`: determines the internal representation `y` of the target. Possible values are:
 
   - `:small`: the element type of `y` is the reference (code) type `R <: Unsigned` for the
     categorical array supplied by user (internal eltype for the array). Choose this to
     minimize memory requirements.
 
-  - `:int`: `y` has an `Integer` element type `widen(R) <: Integer`. Choose this to
+  - `:int`: the element type of `y` is `widen(R) <: Integer`. Choose this to
     safeguard against arithmetic overflows if these are likely; run `@doc widen` for
     details.