Add [compat] CSV = "0.5" and remove depreciated allowmissing=:none

JuliaAI · May 28, 2019 · 5e425d1 · 5e425d1
1 parent c94bd5d
commit 5e425d1
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Showing 2 changed files with 7 additions and 6 deletions.
diff --git a/Project.toml b/Project.toml
@@ -15,8 +15,9 @@ StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
 Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
 
 [compat]
-julia = "1"
+CSV = "0.5"
 Tables = "<0.1.19, >= 0.2"
+julia = "1"
 
 [extras]
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"

diff --git a/src/datasets.jl b/src/datasets.jl
@@ -3,7 +3,7 @@ datadir = joinpath(srcdir, "..", "data") # TODO: make OS agnostic
 """Load a well-known public regression dataset with nominal features."""
 function load_boston()
     df = CSV.read(joinpath(datadir, "Boston.csv"), copycols=true,
-                  categorical=true, allowmissing=:none)
+                  categorical=true) 
     return SupervisedTask(verbosity=0, data=df,
                           target=:MedV,
                           ignore=[:Chas,],
@@ -14,7 +14,7 @@ end
 having six numerical and six categorical features."""
 function load_reduced_ames()
     df = CSV.read(joinpath(datadir, "reduced_ames.csv"), copycols=true,
-                  categorical=true, allowmissing=:none)
+                  categorical=true) 
     df[:target] = exp.(df[:target])
     # TODO: uncomment following after julia #29501 is resolved
 #    df.OverallQual = categorical(df.OverallQual, ordered=true)
@@ -29,7 +29,7 @@ end
 """Load the full version of the well-known Ames Housing task."""
 function load_ames()
     df = CSV.read(joinpath(datadir, "ames.csv"), copycols=true,
-                  categorical=true, allowmissing=:none)              
+                  categorical=true)               
     df[:target] = exp.(df[:target])
     return SupervisedTask(verbosity=0, data=df,
                           target=:target,
@@ -40,7 +40,7 @@ end
 """Load a well-known public classification task with nominal features."""
 function load_iris()
     df = CSV.read(joinpath(datadir, "iris.csv"), pool=true, copycols=true,
-                  categorical=true, allowmissing=:none)
+                  categorical=true) 
     return SupervisedTask(verbosity=0, data=df,
                           target=:target,
                           is_probabilistic=false)
@@ -49,7 +49,7 @@ end
 """Load a well-known crab classification dataset with nominal features."""
 function load_crabs()
     df = CSV.read(joinpath(datadir, "crabs.csv"), pool=true, copycols=true,
-                  categorical=true, allowmissing=:none)
+                  categorical=true) 
     return SupervisedTask(verbosity=0, data=df,
                           target=:sp,
                           ignore=[:sex, :index],