
org.apache.flink.ml.examples.feature.InteractionExample Maven / Gradle / Ivy
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package org.apache.flink.ml.examples.feature;
import org.apache.flink.ml.feature.interaction.Interaction;
import org.apache.flink.ml.linalg.Vector;
import org.apache.flink.ml.linalg.Vectors;
import org.apache.flink.streaming.api.datastream.DataStream;
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;
/** Simple program that creates an Interaction instance and uses it for feature engineering. */
public class InteractionExample {
public static void main(String[] args) {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
StreamTableEnvironment tEnv = StreamTableEnvironment.create(env);
// Generates input data.
DataStream inputStream =
env.fromElements(
Row.of(0, Vectors.dense(1.1, 3.2), Vectors.dense(2, 3)),
Row.of(1, Vectors.dense(2.1, 3.1), Vectors.dense(1, 3)));
Table inputTable = tEnv.fromDataStream(inputStream).as("f0", "f1", "f2");
// Creates an Interaction object and initializes its parameters.
Interaction interaction =
new Interaction().setInputCols("f0", "f1", "f2").setOutputCol("outputVec");
// Transforms input data.
Table outputTable = interaction.transform(inputTable)[0];
// Extracts and displays the results.
for (CloseableIterator it = outputTable.execute().collect(); it.hasNext(); ) {
Row row = it.next();
Object[] inputValues = new Object[interaction.getInputCols().length];
for (int i = 0; i < inputValues.length; i++) {
inputValues[i] = row.getField(interaction.getInputCols()[i]);
}
Vector outputValue = (Vector) row.getField(interaction.getOutputCol());
System.out.printf(
"Input Values: %s \tOutput Value: %s\n",
Arrays.toString(inputValues), outputValue);
}
}
}
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