Merge pull request #308 from FluxML/dev

For a 0.6.6 release

Author: ablaom

Project.toml

@@ -1,7 +1,7 @@
 name = "MLJFlux"
 uuid = "094fc8d1-fd35-5302-93ea-dabda2abf845"
 authors = ["Anthony D. Blaom <[email protected]>", "Ayush Shridhar <[email protected]>"]
-version = "0.6.5"
+version = "0.6.6"
 
 [deps]
 CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"

docs/Project.toml

@@ -23,3 +23,6 @@ Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 ScientificTypes = "321657f4-b219-11e9-178b-2701a2544e81"
 Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
 WordTokenizers = "796a5d58-b03d-544a-977e-18100b691f6e"
+
+[compat]
+Documenter = "1"

docs/make.jl

@@ -33,7 +33,7 @@ makedocs(
             "Regression"=>"interface/Regression.md",
             "Multi-Target Regression"=>"interface/Multitarget Regression.md",
             "Image Classification"=>"interface/Image Classification.md",
-            "Entity Embeddings"=>"interface/Entity Embeddings.md",
+            "Entity Embdedding"=>"interface/entity_embedding.md",
         ],
         "Common Workflows" => Any[
             "Incremental Training"=>"common_workflows/incremental_training/notebook.md",
@@ -47,7 +47,6 @@ makedocs(
         ],
         "Extended Examples" => Any[
             "MNIST Images"=>"extended_examples/MNIST/notebook.md",
-            "Spam Detection with RNNs"=>"extended_examples/spam_detection/notebook.md",
         ],
         "Contributing" => "contributing.md"],
     doctest = false,