Remove microsite and make some method package private

Author: MrPowers

build.sbt

@@ -47,10 +47,3 @@ Global/useGpgPinentry := true
 enablePlugins(SiteScaladocPlugin)
 enablePlugins(GhpagesPlugin)
 git.remoteRepo := "[email protected]:MrPowers/spark-stringmetric.git"
-
-// sbt-microsites plugin:
-enablePlugins(MicrositesPlugin)
-micrositeDescription := "String algorithms in Spark"
-micrositeUrl := "https://mrpowers.github.io"
-micrositeBaseUrl := "/spark-stringmetric"
-micrositeDocumentationUrl := "docs"

docs/index.md

@@ -8,4 +8,3 @@ resolvers += Resolver.bintrayIvyRepo(
 addSbtPlugin("org.xerial.sbt" % "sbt-sonatype" % "3.9.4")
 addSbtPlugin("com.jsuereth" % "sbt-pgp" % "2.0.1")
 addSbtPlugin("com.typesafe.sbt" % "sbt-ghpages" % "0.6.3")
-addSbtPlugin("com.47deg"  % "sbt-microsites" % "1.2.1")

docs/phoenetic.md

@@ -7,7 +7,7 @@ object PhoneticAlgorithms {
 
   val double_metaphone = udf[Option[String], String](doubleMetaphoneFun)
 
-  def doubleMetaphoneFun(s1: String): Option[String] = {
+  private[stringmetric] def doubleMetaphoneFun(s1: String): Option[String] = {
     val str1 = Option(s1).getOrElse(return None)
     if (str1.equals("")) return None
     val dm = new DoubleMetaphone()
@@ -16,15 +16,15 @@ object PhoneticAlgorithms {
 
   val nysiis = udf[Option[String], String](nysiisFun)
 
-  def nysiisFun(s1: String): Option[String] = {
+  private[stringmetric] def nysiisFun(s1: String): Option[String] = {
     val str1 = Option(s1).getOrElse(return None)
     val ny = new Nysiis()
     Some(ny.encode(str1))
   }
 
   val refined_soundex = udf[Option[String], String](refinedSoundexFun)
 
-  def refinedSoundexFun(s1: String): Option[String] = {
+  private[stringmetric] def refinedSoundexFun(s1: String): Option[String] = {
     val str1 = Option(s1).getOrElse(return None)
     val rs = new RefinedSoundex()
     Some(rs.encode(str1))

docs/similarity.md

@@ -20,7 +20,7 @@ object SimilarityFunctions {
 
   val cosine_distance = udf[Option[Double], String, String](cosineDistanceFun)
 
-  def cosineDistanceFun(s1: String, s2: String): Option[Double] = {
+  private[stringmetric] def cosineDistanceFun(s1: String, s2: String): Option[Double] = {
     val str1 = Option(s1).getOrElse(return None)
     val str2 = Option(s2).getOrElse(return None)
     val cd = new CosineDistance()
@@ -29,7 +29,7 @@ object SimilarityFunctions {
 
   val fuzzy_score = udf[Option[Integer], String, String](fuzzyScoreFun)
 
-  def fuzzyScoreFun(s1: String, s2: String): Option[Integer] = {
+  private[stringmetric] def fuzzyScoreFun(s1: String, s2: String): Option[Integer] = {
     val str1 = Option(s1).getOrElse(return None)
     val str2 = Option(s2).getOrElse(return None)
     val f = new FuzzyScore(Locale.ENGLISH)
@@ -42,7 +42,7 @@ object SimilarityFunctions {
 
   val jaccard_similarity = udf[Option[Double], String, String](jaccardSimilarityFun)
 
-  def jaccardSimilarityFun(s1: String, s2: String): Option[Double] = {
+  private[stringmetric] def jaccardSimilarityFun(s1: String, s2: String): Option[Double] = {
     val str1 = Option(s1).getOrElse(return None)
     val str2 = Option(s2).getOrElse(return None)
     val j = new JaccardSimilarity()
@@ -51,7 +51,7 @@ object SimilarityFunctions {
 
   val jaro_winkler = udf[Option[Double], String, String](jaroWinlkerFun)
 
-  def jaroWinlkerFun(s1: String, s2: String): Option[Double] = {
+  private[stringmetric] def jaroWinlkerFun(s1: String, s2: String): Option[Double] = {
     val str1 = Option(s1).getOrElse(return None)
     val str2 = Option(s2).getOrElse(return None)
     val j = new JaroWinklerDistance()