本文整理了Java中water.fvec.Frame.deepCopy()方法的一些代码示例，展示了Frame.deepCopy()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Frame.deepCopy()方法的具体详情如下：
包路径：water.fvec.Frame
类名称：Frame
方法名：deepCopy

Frame.deepCopy介绍

暂无

代码示例

代码示例来源：origin: h2oai/h2o-3

Frame groupingIgnoringFordColumn(String foldColumnName, Frame targetEncodingMap, String teColumnName) {
  if (foldColumnName != null) {
    int teColumnIndex = targetEncodingMap.find(teColumnName);
    Frame newTargetEncodingMap = groupByTEColumnAndAggregate(targetEncodingMap, teColumnIndex);
    renameColumn(newTargetEncodingMap,  "sum_numerator", "numerator");
    renameColumn(newTargetEncodingMap,  "sum_denominator", "denominator");
    return newTargetEncodingMap;
  } else {
    Frame targetEncodingMapCopy = targetEncodingMap.deepCopy(Key.make().toString());
    DKV.put(targetEncodingMapCopy);
    return targetEncodingMapCopy;
  }
}

代码示例来源：origin: h2oai/h2o-3

.build();
Frame accFrame = fr.deepCopy(Key.make().toString());;
DKV.put(accFrame);
 accFrame = withAppendedFrame.deepCopy(Key.make().toString());
 DKV.put(accFrame);
 withAppendedFrame.delete();

代码示例来源：origin: h2oai/h2o-3

public static class SubtractCurrentRowForLeaveOneOutTask extends MRTask<SubtractCurrentRowForLeaveOneOutTask> {
 private int _numeratorIdx;
 private int _denominatorIdx;
 private int _targetIdx;
 public SubtractCurrentRowForLeaveOneOutTask(int numeratorIdx, int denominatorIdx, int targetIdx) {
  _numeratorIdx = numeratorIdx;
  _denominatorIdx = denominatorIdx;
  _targetIdx = targetIdx;
 }
 @Override
 public void map(Chunk cs[]) {
  Chunk num = cs[_numeratorIdx];
  Chunk den = cs[_denominatorIdx];
  Chunk target = cs[_targetIdx];
  for (int i = 0; i < num._len; i++) {
   if (!target.isNA(i)) {
    num.set(i, num.atd(i) - target.atd(i));
    den.set(i, den.atd(i) - 1);
   }
  }
 }
}

代码示例来源：origin: h2oai/h2o-3

try {
 double expected_deviance = 26000;
 covtype_copy = _covtype.deepCopy("covtype_copy");
 DKV.put(covtype_copy);
 Vec.Writer w = covtype_copy.vec(54).open();

代码示例来源：origin: h2oai/h2o-3

@Test
public void deepCopyTest() {
 fr = new TestFrameBuilder()
     .withName("trainingFrame")
     .withColNames("colA")
     .withVecTypes(Vec.T_STR)
     .withDataForCol(0, ar("a", "b", "c"))
     .build();
 Frame trainCopy = fr.deepCopy(Key.make().toString());
 DKV.put(trainCopy);
 assertTrue(isBitIdentical(fr, trainCopy));
 trainCopy.vec(0).set(0, "d");
 assertFalse(isBitIdentical(fr, trainCopy));
 trainCopy.delete();
}

代码示例来源：origin: h2oai/h2o-3

@Test // Test that we are not introducing keys leakage when we reassign within if-statement
public void ifStatementsWithFramesTest() {
 Scope.enter();
 try {
  fr = new TestFrameBuilder()
      .withName("testFrame")
      .withColNames("ColA", "ColB")
      .withVecTypes(Vec.T_CAT, Vec.T_CAT)
      .withDataForCol(0, ar("a", "b"))
      .withDataForCol(1, ar("yes", "no"))
      .build();
  boolean flag = false;
  String[] teColumns = {""};
  TargetEncoder tec = new TargetEncoder(teColumns);
  Frame dataWithAllEncodings = null ;
  if(flag) {
   Frame dataWithEncodedTarget = tec.ensureTargetColumnIsBinaryCategorical(fr, "ColB");
   dataWithAllEncodings = dataWithEncodedTarget.deepCopy(Key.make().toString());
   DKV.put(dataWithAllEncodings);
   assertVecEquals(dataWithAllEncodings.vec("ColB"), vec(1, 0), 1E-5);
  }
  else {
   dataWithAllEncodings = fr;
  }
  dataWithAllEncodings.delete();
 } finally {
  Scope.exit();
 }
}

代码示例来源：origin: h2oai/h2o-3

@Test
public void ensureImmutabilityOfTheOriginalDatasetDuringApplicationOfTE() {
 String teColumnName = "ColA";
 String targetColumnName = "ColC";
 String foldColumn = "fold_column";
 Frame training = new TestFrameBuilder()
     .withName("trainingFrame")
     .withColNames(teColumnName, targetColumnName, foldColumn)
     .withVecTypes(Vec.T_CAT, Vec.T_CAT, Vec.T_NUM)
     .withDataForCol(0, ar("a", "b", "c", "d", "e", "b", "b"))
     .withDataForCol(1, ar("2", "6", "6", "6", "6", "2", "2"))
     .withDataForCol(2, ar(1, 2, 2, 3, 1, 2, 1))
     .build();
 String[] teColumns = {teColumnName};
 TargetEncoder tec = new TargetEncoder(teColumns);
 Map<String, Frame> targetEncodingMap = tec.prepareEncodingMap(training, targetColumnName, foldColumn);
 Frame trainCopy = training.deepCopy(Key.make().toString());
 DKV.put(trainCopy);
 Frame resultWithEncoding = tec.applyTargetEncoding(training, targetColumnName, targetEncodingMap, TargetEncoder.DataLeakageHandlingStrategy.KFold, foldColumn, false, 0, false, 1234);
 assertTrue(isBitIdentical(training, trainCopy));
 training.delete();
 trainCopy.delete();
 encodingMapCleanUp(targetEncodingMap);
 resultWithEncoding.delete();
}

代码示例来源：origin: ai.h2o/h2o-automl

Frame groupingIgnoringFordColumn(String foldColumnName, Frame targetEncodingMap, String teColumnName) {
  if (foldColumnName != null) {
    int teColumnIndex = targetEncodingMap.find(teColumnName);
    Frame newTargetEncodingMap = groupByTEColumnAndAggregate(targetEncodingMap, teColumnIndex);
    renameColumn(newTargetEncodingMap,  "sum_numerator", "numerator");
    renameColumn(newTargetEncodingMap,  "sum_denominator", "denominator");
    return newTargetEncodingMap;
  } else {
    Frame targetEncodingMapCopy = targetEncodingMap.deepCopy(Key.make().toString());
    DKV.put(targetEncodingMapCopy);
    return targetEncodingMapCopy;
  }
}

代码示例来源：origin: ai.h2o/h2o-automl

public static class SubtractCurrentRowForLeaveOneOutTask extends MRTask<SubtractCurrentRowForLeaveOneOutTask> {
 private int _numeratorIdx;
 private int _denominatorIdx;
 private int _targetIdx;
 public SubtractCurrentRowForLeaveOneOutTask(int numeratorIdx, int denominatorIdx, int targetIdx) {
  _numeratorIdx = numeratorIdx;
  _denominatorIdx = denominatorIdx;
  _targetIdx = targetIdx;
 }
 @Override
 public void map(Chunk cs[]) {
  Chunk num = cs[_numeratorIdx];
  Chunk den = cs[_denominatorIdx];
  Chunk target = cs[_targetIdx];
  for (int i = 0; i < num._len; i++) {
   if (!target.isNA(i)) {
    num.set(i, num.atd(i) - target.atd(i));
    den.set(i, den.atd(i) - 1);
   }
  }
 }
}