Merge pull request #36 from JuliaAI/dev

For a 0.3.0 release

Author: ablaom

Project.toml

@@ -1,7 +1,7 @@
 name = "MLJDecisionTreeInterface"
 uuid = "c6f25543-311c-4c74-83dc-3ea6d1015661"
 authors = ["Anthony D. Blaom <[email protected]>"]
-version = "0.2.5"
+version = "0.3.0"
 
 [deps]
 DecisionTree = "7806a523-6efd-50cb-b5f6-3fa6f1930dbb"
@@ -10,7 +10,7 @@ Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
 
 [compat]
-DecisionTree = "0.11"
+DecisionTree = "0.12"
 MLJModelInterface = "1.5"
 Tables = "1.6"
 julia = "1.6"

src/MLJDecisionTreeInterface.jl

@@ -446,8 +446,7 @@ Train the machine using `fit!(mach, rows=...)`.
 
 - `min_purity_increase=0`: min purity needed for a split
 
-- `n_subfeatures=0`: number of features to select at random (0 for all,
-  -1 for square root of number of features)
+- `n_subfeatures=0`: number of features to select at random (0 for all)
 
 - `post_prune=false`:      set to `true` for post-fit pruning
 
@@ -772,8 +771,7 @@ Train the machine with `fit!(mach, rows=...)`.
 
 - `min_purity_increase=0`: min purity needed for a split
 
-- `n_subfeatures=0`: number of features to select at random (0 for all,
-  -1 for square root of number of features)
+- `n_subfeatures=0`: number of features to select at random (0 for all)
 
 - `post_prune=false`:      set to `true` for post-fit pruning