Merge pull request #69 from invenia/rf/simplify

Simplify Imputor API

Author: rofinn

.travis.yml

@@ -3,26 +3,28 @@ language: julia
 os:
   - linux
   - osx
+env:
+  - DATADEPS_ALWAYS_ACCEPT=true
 julia:
   # 1.0 should also work, but Pkg.test hit some chmod issues on 1.0 in docker containers
   - 1.3
+  - 1.5
   - nightly
 notifications:
   email: false
-matrix:
-  fast_finish: true
-  allow_failures:
-    - julia: nightly
 # uncomment the following lines to override the default test script
 #script:
 #  - if [[ -a .git/shallow ]]; then git fetch --unshallow; fi
 #  - julia -e 'Pkg.clone(pwd()); Pkg.build("Impute"); Pkg.test("Impute"; coverage=true)'
 after_success:
   - julia -e 'using Pkg; Pkg.add("Coverage"); using Coverage; Codecov.submit(process_folder())'
 jobs:
+  fast_finish: true
+  allow_failures:
+    - julia: nightly
   include:
     - stage: "Documentation"
-      julia: 1.0
+      julia: 1.5
       os: linux
       script:
         - julia --project=docs/ -e 'using Pkg; Pkg.develop(PackageSpec(path=pwd())); Pkg.instantiate()'

Project.toml

@@ -4,10 +4,14 @@ authors = ["Invenia Technical Computing"]
 version = "0.6.0"
 
 [deps]
+BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
+CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
+DataDeps = "124859b0-ceae-595e-8997-d05f6a7a8dfe"
 Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
 IterTools = "c8e1da08-722c-5040-9ed9-7db0dc04731e"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 Missings = "e1d29d7a-bbdc-5cf2-9ac0-f12de2c33e28"
+NamedDims = "356022a1-0364-5f58-8944-0da4b18d706f"
 NearestNeighbors = "b8a86587-4115-5ab1-83bc-aa920d37bbce"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
@@ -16,10 +20,14 @@ TableOperations = "ab02a1b2-a7df-11e8-156e-fb1833f50b87"
 Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
 
 [compat]
-AxisKeys = "0.1.5"
+AxisKeys = "0.1"
+BSON = "0.2"
+CSV = "0.6, 0.7"
+DataDeps = "0.7"
 Distances = "0.8, 0.9"
 IterTools = "1.2, 1.3"
 Missings = "0.4"
+NamedDims = "0.2"
 NearestNeighbors = "0.4"
 StatsBase = "0.32"
 TableOperations = "0.2"
@@ -33,8 +41,8 @@ Combinatorics = "861a8166-3701-5b0c-9a16-15d98fcdc6aa"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
 Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
-RDatasets = "ce6b1742-4840-55fa-b093-852dadbb1d8b"
+Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["AxisArrays", "AxisKeys", "Combinatorics", "DataFrames", "Dates", "Distances", "RDatasets", "Test"]
+test = ["AxisArrays", "AxisKeys", "Combinatorics", "DataFrames", "Dates", "Distances", "Documenter", "Test"]

README.md

@@ -14,13 +14,13 @@ julia> using Pkg; Pkg.add("Impute")
 ## Quickstart
 Let's start by loading our dependencies:
 ```julia
-julia> using DataFrames, RDatasets, Impute
+julia> using DataFrames, Impute
 ```
 
 We'll also want some test data containing missings to work with:
 
 ```julia
-julia> df = dataset("boot", "neuro")
+julia> df = Impute.dataset("test/table/neuro") |> DataFrame
 469×6 DataFrames.DataFrame
 │ Row │ V1       │ V2       │ V3      │ V4       │ V5       │ V6       │
 │     │ Float64⍰ │ Float64⍰ │ Float64 │ Float64⍰ │ Float64⍰ │ Float64⍰ │
@@ -46,7 +46,7 @@ julia> df = dataset("boot", "neuro")
 Our first instinct might be to drop all observations, but this leaves us too few rows to work with:
 
 ```julia
-julia> Impute.drop(df)
+julia> Impute.filter(df; dims=:rows)
 4×6 DataFrames.DataFrame
 │ Row │ V1      │ V2      │ V3      │ V4      │ V5      │ V6      │
 │     │ Float64 │ Float64 │ Float64 │ Float64 │ Float64 │ Float64 │