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DAG-oriented machine learning framework for bug-resistant, readable, efficient, maintainable and trivially deployable models in Java and other JVM languages
// AUTOGENERATED CODE. DO NOT MODIFY DIRECTLY! Instead, please modify the transformer/TupledX.ftl file.
// See the README in the module's src/template directory for details.
package com.linkedin.dagli.transformer;
import com.linkedin.dagli.annotation.equality.ValueEquality;
import com.linkedin.dagli.producer.Producer;
import com.linkedin.dagli.tuple.Tuple3;
/**
* A transformer that produces a tuple of the values it receives as inputs.
*/
@ValueEquality
public class Tupled3 extends AbstractPreparedTransformer3, Tupled3> {
private static final long serialVersionUID = 1;
/**
* Creates a new instance with the specified inputs.
*/
public Tupled3(Producer extends A> input1, Producer extends B> input2, Producer extends C> input3) {
super(input1, input2, input3);
}
@Override
public Tuple3 apply(A value1, B value2, C value3) {
return Tuple3.of(value1, value2, value3);
}
}
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