fix type issue with julia 1.3, revert oldest version of julia supported to 1.3, change defaults for transformer

Author: pazzo83

Project.toml

@@ -15,7 +15,7 @@ MLJModelInterface = "1.3"
 ScientificTypesBase = "2.2.0"
 ScientificTypes = "2.2.2"
 TextAnalysis = "0.7.3"
-julia = "1.5"
+julia = "1.3"
 
 [extras]
 MLJBase = "a7f614a8-145f-11e9-1d2a-a57a1082229d"

src/MLJText.jl

@@ -47,8 +47,8 @@ zero divisions: `idf(t) = log [ (1 + n) / (1 + df(t)) ] + 1`.
 
 """
 MMI.@mlj_model mutable struct TfidfTransformer <: MLJModelInterface.Unsupervised
-    max_doc_freq::Float64 = 0.98
-    min_doc_freq::Float64 = 0.02
+    max_doc_freq::Float64 = 1.0
+    min_doc_freq::Float64 = 0.0
     smooth_idf::Bool = true
 end
 

test/runtests.jl

@@ -50,7 +50,7 @@ using TextAnalysis
         "in" => 1,
         "the cat" => 1
     )
-    bag = Dict{MLJText.NGram, Int}(Tuple(String.(split(k))) => v for (k, v) in bag_of_words)
+    bag = Dict(Tuple(String.(split(k))) => v for (k, v) in bag_of_words)
     tfidf_transformer2 = MLJText.TfidfTransformer()
     test_machine2 = @test_logs machine(tfidf_transformer2, [bag])
     MLJBase.fit!(test_machine2)