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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

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// AUTOGENERATED CODE.  DO NOT MODIFY DIRECTLY!  Instead, please modify the preparer/AbstractBatchPreparerX.ftl file.
// See the README in the module's src/template directory for details.
package com.linkedin.dagli.preparer;

import com.linkedin.dagli.transformer.PreparedTransformer2;


/**
 * A common abstract base class that {@link Preparer}s prepared using {@link PreparerMode#BATCH} mode are highly
 * encouraged to extend.  Besides simplifying the code and improving readability, this also helps insulate the derived
 * class's implementation from future changes in the Dagli Framework.
 *
 * @param  the type of the first input
 * @param  the type of the second input
 * @param  result type of the transformer prepared by this preparer
 * @param  the type of {@link com.linkedin.dagli.transformer.PreparedTransformer} prepared by this preparer
 */
public abstract class AbstractBatchPreparer2> extends
    AbstractPreparer2 {

  @Override
  public final PreparerMode getMode() {
    return PreparerMode.BATCH;
  }
}