Removed Float16 from tests due to rounding problems; updated NEWS.md

Author: zgornel

NEWS.md

@@ -1,5 +1,14 @@
 ## StringAnalysis Release Notes
 
+
+v0.4.2
+------
+ - Bugfixes
+
+v0.4.1
+------
+ - New snowball stemmer
+
 v0.4.0
 ------
  - A vector of strings is equivalent to a corpus for DTM, inverse index, lexicon

Project.toml

@@ -1,7 +1,7 @@
 name = "StringAnalysis"
 uuid = "b66b7d2f-f536-51df-9f97-4dfb9d27c005"
 authors = ["Corneliu Cofaru <[email protected]>"]
-version = "0.4.1"
+version = "0.4.2"
 
 [deps]
 AutoHashEquals = "15f4f7f2-30c1-5605-9d31-71845cf9641f"

test/coom.jl

@@ -5,7 +5,7 @@
     td = TokenDocument{String}(doc)
     nd = NGramDocument{String}(doc)
     crps = Corpus([sd, td])
-    T = Float16
+    T = Float32
     # Results for window = 5, all terms in document used
     expected_result = [ # for window == 5
         0.0 2.0 1.0 2/3 0.5 0.4 0.0 0.0

test/rp.jl

@@ -17,7 +17,7 @@
     query = StringDocument("Apples and an exotic fruit.")
     for k in [0, 1, 3]
         for stats in [:count, :tf, :tfidf, :bm25]
-            for T in [Float16, Float32, Float64]
+            for T in [Float32, Float64]
                 dtm = DocumentTermMatrix{T}(crps, lex_keys, ngram_complexity=ngram_complexity)
                 model = rp(dtm, k=k, stats=stats, ngram_complexity=ngram_complexity)
                 @test model isa RPModel{String, T, SparseMatrixCSC{T,Int}, Int}