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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/ValueXFromTuple.ftl file.
// See the README in the module's src/template directory for details.
package com.linkedin.dagli.transformer;
import java.util.Collection;
import java.util.Collections;
import java.util.List;
import com.linkedin.dagli.annotation.equality.ValueEquality;
import com.linkedin.dagli.producer.Producer;
import com.linkedin.dagli.reducer.InverseClassReducer;
import com.linkedin.dagli.reducer.Reducer;
import com.linkedin.dagli.tuple.TupleValue9;
/**
* Transformer that extracts the tenth element from a tuple.
*/
@ValueEquality
public class Value9FromTuple extends
AbstractPreparedTransformer1WithInput, J, Value9FromTuple> {
private static final long serialVersionUID = 1;
private static final List REDUCERS = Collections.singletonList(new InverseClassReducer(9,
Tupled10.class));
/**
* Creates a new instance that will extract elements from the provided input tuple.
*
* @param input the producer providing tuples whose tenth element will be extracted
*/
public Value9FromTuple(Producer extends TupleValue9 extends J>> input) {
super(input);
}
@Override
protected Collection extends Reducer super Value9FromTuple>> getGraphReducers() {
return REDUCERS;
}
@Override
public J apply(TupleValue9 extends J> value) {
return value.get9();
}
}
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