Clean up unwanted changes

Author: austinzh

mleap-runtime/src/main/scala/ml/combust/mleap/runtime/transformer/feature/MultiInOutTransformer.scala

@@ -3,6 +3,11 @@ package ml.combust.mleap.runtime.transformer.feature
 import ml.combust.mleap.core.types._
 import ml.combust.mleap.runtime.frame.Transformer
 
+/*
+This Transformer trait only used when the Spark Transformer has inputCol and inputCols
+, outputCol and outputCols. Because the saved shape will have port "input" instead of
+"input0", "output" instead "output0".
+ */
 trait MultiInOutTransformer extends  Transformer {
   override def inputSchema: StructType = {
    if (shape.getInput("input").isDefined) {

mleap-runtime/src/test/scala/ml/combust/mleap/runtime/transformer/feature/StringIndexerSpec.scala

@@ -14,8 +14,6 @@ class StringIndexerSpec extends org.scalatest.funspec.AnyFunSpec {
 
   val stringIndexer = StringIndexer(
     shape = NodeShape.feature(
-      inputPort="input0",
-      outputPort="output0",
       inputCol = "test_string",
       outputCol = "test_index"),
     model = StringIndexerModel(Seq("index1", "index2", "index3")))
@@ -31,16 +29,12 @@ class StringIndexerSpec extends org.scalatest.funspec.AnyFunSpec {
     }
 
     describe("with invalid input column") {
-      val stringIndexer2 = stringIndexer.copy(shape = NodeShape.feature(
-        inputPort="input0",
-        outputPort="output0",
-        inputCol = "bad_input",
-        outputCol = "bad_output"))
+      val stringIndexer2 = stringIndexer.copy(shape = NodeShape().withStandardInput("bad_input").
+        withStandardOutput("output"))
 
       it("returns a Failure") {
         assert(stringIndexer2.transform(frame).isFailure)
       }
-
     }
 
     describe("with invalid string") {