org.apache.flink.ml.examples.VectorToArrayExample Maven / Gradle / Ivy
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package org.apache.flink.ml.examples;
import org.apache.flink.ml.linalg.Vector;
import org.apache.flink.ml.linalg.Vectors;
import org.apache.flink.ml.linalg.typeinfo.VectorTypeInfo;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
import org.apache.flink.types.Row;
import org.apache.flink.util.CloseableIterator;
import java.util.Arrays;
import java.util.List;
import static org.apache.flink.ml.Functions.vectorToArray;
import static org.apache.flink.table.api.Expressions.$;
/** Simple program that converts a column of dense/sparse vectors into a column of double arrays. */
public class VectorToArrayExample {
public static void main(String[] args) {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
StreamTableEnvironment tEnv = StreamTableEnvironment.create(env);
// Generates input vector data.
List vectors =
Arrays.asList(
Vectors.dense(0.0, 0.0),
Vectors.sparse(2, new int[] {1}, new double[] {1.0}));
Table inputTable =
tEnv.fromDataStream(env.fromCollection(vectors, VectorTypeInfo.INSTANCE))
.as("vector");
// Converts each vector to a double array.
Table outputTable = inputTable.select($("vector"), vectorToArray($("vector")).as("array"));
// Extracts and displays the results.
for (CloseableIterator it = outputTable.execute().collect(); it.hasNext(); ) {
Row row = it.next();
Vector vector = row.getFieldAs("vector");
Double[] doubleArray = row.getFieldAs("array");
System.out.printf(
"Input vector: %s\tOutput double array: %s\n",
vector, Arrays.toString(doubleArray));
}
}
}
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