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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
package com.linkedin.dagli.dag;
import com.linkedin.dagli.objectio.ObjectReader;
import com.linkedin.dagli.preparer.PreparerResult;
import com.linkedin.dagli.util.array.AutoCloseableArray;
import java.util.Arrays;
import java.util.Objects;
/**
* This class is used internally by Dagli to store the result of executing a DAG.
* @param the type of the result of the DAG (e.g. for a DAG1x2 this would be a Tuple2).
*/
class DAGExecutionResult> implements AutoCloseable {
private final PreparerResult _preparerResult;
private final ObjectReader>[] _outputs;
/**
* Creates a new result.
*
* @param preparerResult the prepared DAGs (for new and preparation data)
* @param outputs the outputs of the DAG; may be null if the executor prepared the DAG but did not generate any
* output values
*/
public DAGExecutionResult(PreparerResult preparerResult, ObjectReader>[] outputs) {
assert outputs == null || Arrays.stream(outputs).noneMatch(Objects::isNull);
_preparerResult = preparerResult;
_outputs = outputs;
}
public PreparerResult getPreparerResult() {
return _preparerResult;
}
public ObjectReader>[] getOutputs() {
return _outputs;
}
@Override
public void close() {
AutoCloseableArray.close(_outputs);
}
}
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