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0018 package org.apache.spark.ml.feature;
0019
0020 import java.util.Arrays;
0021 import java.util.List;
0022
0023 import static org.apache.spark.sql.types.DataTypes.*;
0024
0025 import org.junit.Assert;
0026 import org.junit.Test;
0027
0028 import org.apache.spark.SharedSparkSession;
0029 import org.apache.spark.sql.Dataset;
0030 import org.apache.spark.sql.Row;
0031 import org.apache.spark.sql.RowFactory;
0032 import org.apache.spark.sql.types.StructField;
0033 import org.apache.spark.sql.types.StructType;
0034
0035 public class JavaStringIndexerSuite extends SharedSparkSession {
0036
0037 @Test
0038 public void testStringIndexer() {
0039 StructType schema = createStructType(new StructField[]{
0040 createStructField("id", IntegerType, false),
0041 createStructField("label", StringType, false)
0042 });
0043 List<Row> data = Arrays.asList(
0044 cr(0, "a"), cr(1, "b"), cr(2, "c"), cr(3, "a"), cr(4, "a"), cr(5, "c"));
0045 Dataset<Row> dataset = spark.createDataFrame(data, schema);
0046
0047 StringIndexer indexer = new StringIndexer()
0048 .setInputCol("label")
0049 .setOutputCol("labelIndex");
0050 Dataset<Row> output = indexer.fit(dataset).transform(dataset);
0051
0052 Assert.assertEquals(
0053 Arrays.asList(cr(0, 0.0), cr(1, 2.0), cr(2, 1.0), cr(3, 0.0), cr(4, 0.0), cr(5, 1.0)),
0054 output.orderBy("id").select("id", "labelIndex").collectAsList());
0055 }
0056
0057
0058
0059
0060 private Row cr(Object... values) {
0061 return RowFactory.create(values);
0062 }
0063 }