Merge pull request #910 from alan-turing-institute/dev

For a 0.17.2 release
JuliaAI · Mar 7, 2022 · 0c4d173 · 0c4d173
2 parents 5c7d3c9 + cc3ec00
commit 0c4d173
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Showing 4 changed files with 6 additions and 15 deletions.
diff --git a/Project.toml b/Project.toml
@@ -1,7 +1,7 @@
 name = "MLJ"
 uuid = "add582a8-e3ab-11e8-2d5e-e98b27df1bc7"
 authors = ["Anthony D. Blaom <anthony.blaom@gmail.com>"]
-version = "0.17.1"
+version = "0.17.2"
 
 [deps]
 CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"

diff --git a/docs/src/composing_models.md b/docs/src/composing_models.md
@@ -701,10 +701,11 @@ diagrams, for simplicity).
 
 ### Source nodes
 
-Only source nodes reference concrete data. A `Source` object has a
+Only source nodes can reference concrete data. A `Source` object has a
 single field, `data`.
 
 ```@docs
+Source
 source(X)
 rebind!
 sources
@@ -713,19 +714,8 @@ origins
 
 ### Nodes
 
-The key components of a `Node` are:
-
-- An *operation*, which will either be *static* (a fixed function) or
-  *dynamic* (such as `predict` or `transform`, dispatched on a machine).
-
-- A *machine* on which to dispatch the operation (void if the
-  operation is static). The training arguments of the machine are
-  generally other nodes.
-
-- Upstream connections to other nodes (including source nodes)
-  specified by *arguments* (one for each argument of the operation).
-
 ```@docs
+Node
 node
 ```
 

diff --git a/docs/src/transformers.md b/docs/src/transformers.md
@@ -29,6 +29,7 @@ MLJModels.Standardizer
 MLJModels.OneHotEncoder
 MLJModels.ContinuousEncoder
 MLJModels.FillImputer
+MLJModels.UnivariateFillImputer
 MLJModels.FeatureSelector
 MLJModels.UnivariateBoxCoxTransformer
 MLJModels.UnivariateDiscretizer

diff --git a/src/MLJ.jl b/src/MLJ.jl
@@ -132,7 +132,7 @@ export models, localmodels, @load, @iload, load, info,
     FeatureSelector, UnivariateStandardizer,   # builtins/Transformers.jl
     Standardizer, UnivariateBoxCoxTransformer,
     OneHotEncoder, ContinuousEncoder, UnivariateDiscretizer,
-    FillImputer, matching, BinaryThresholdPredictor
+    FillImputer, UnivariateFillImputer, matching, BinaryThresholdPredictor
 
 # re-export from MLJIteration:
 export MLJIteration