本文整理了Java中water.fvec.Frame.find()方法的一些代码示例，展示了Frame.find()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.find()方法的具体详情如下：
包路径：water.fvec.Frame
类名称：Frame
方法名：find

Frame.find介绍

[英]Finds the first column with a matching name.
[中]查找具有匹配名称的第一列。

代码示例

代码示例来源：origin: h2oai/h2o-3

@Override
 int prep(Frame fr) {
  return fr.find("y");
 }
},

代码示例来源：origin: h2oai/h2o-3

@Override
 int prep(Frame fr) {
  return fr.find("y");
 }
},

代码示例来源：origin: h2oai/h2o-3

@Override
 int prep(Frame fr) {
  return fr.find("C3");
 }
},

代码示例来源：origin: h2oai/h2o-3

private boolean checkAllTEColumnsExistAndAreCategorical(Frame data, String[] columnsToEncode)  {
  for( String columnName : columnsToEncode) {
    int columnIndex = data.find(columnName);
    assert columnIndex!=-1 : "Column name `" +  columnName + "` was not found in the provided data frame";
    if(! data.vec(columnIndex).isCategorical()) return false;
  }
  return true;
}

代码示例来源：origin: h2oai/h2o-3

Frame calculateAndAppendTEEncoding(Frame fr, Frame encodingMap, String targetColumnName, String appendedColumnName) {
 int numeratorIndex = fr.find("numerator");
 int denominatorIndex = fr.find("denominator");
 double globalMeanForTargetClass = calculatePriorMean(encodingMap); // we can only operate on encodingsMap because `fr` could not have target column at all
 Vec zeroVec = Vec.makeZero(fr.numRows());
 fr.add(appendedColumnName, zeroVec);
 int encodingsColumnIdx = fr.find(appendedColumnName);
 new CalcEncodings(numeratorIndex, denominatorIndex, globalMeanForTargetClass, encodingsColumnIdx).doAll( fr);
 zeroVec.remove();
 return fr;
}

代码示例来源：origin: h2oai/h2o-3

Frame calculateAndAppendBlendedTEEncoding(Frame fr, Frame encodingMap, String targetColumnName, String appendedColumnName) {
 int numeratorIndex = fr.find("numerator");
 int denominatorIndex = fr.find("denominator");
 double globalMeanForTargetClass = calculatePriorMean(encodingMap); // TODO since target column is the same for all categorical columns we are trying to encode we can compute global mean only once.
 Log.info("Global mean for blending = " + globalMeanForTargetClass);
 Vec zeroVec = Vec.makeZero(fr.numRows());
 fr.add(appendedColumnName, zeroVec);
 int encodingsColumnIdx = fr.find(appendedColumnName);
 new CalcEncodingsWithBlending(numeratorIndex, denominatorIndex, globalMeanForTargetClass, _blendingParams, encodingsColumnIdx).doAll(fr);
 zeroVec.remove();
 return fr;
}

代码示例来源：origin: h2oai/h2o-3

@Override
 int prep(Frame fr) {
  fr.remove("name").remove();
  return fr.find("cylinders");
 }
},

代码示例来源：origin: h2oai/h2o-3

@Override
 int prep(Frame fr) {
  fr.remove("name").remove();
  return fr.find("cylinders");
 }
},

代码示例来源：origin: h2oai/h2o-3

@Override
 int prep(Frame fr) {
  fr.remove("ID").remove();
  return fr.find("CAPSULE");
 }
},

代码示例来源：origin: h2oai/h2o-3

@Override
 int prep(Frame fr) {
  fr.remove("ID").remove();
  return fr.find("CAPSULE");
 }
},

代码示例来源：origin: h2oai/h2o-3

@Override
 int prep(Frame fr) {
  fr.remove("ID").remove();
  return fr.find("AGE");
 }
},

代码示例来源：origin: h2oai/h2o-3

@Override
 int prep(Frame fr) {
  fr.remove("ID").remove();
  return fr.find("AGE");
 }
},

代码示例来源：origin: h2oai/h2o-3

@Override
 int prep(Frame fr) {
  fr.remove("ID").remove();
  return fr.find("AGE");
 }
},

代码示例来源：origin: h2oai/h2o-3

@Override
 int prep(Frame fr) {
  fr.remove("ID").remove();
  return fr.find("CAPSULE");
 }
},

代码示例来源：origin: h2oai/h2o-3

@Override
 int prep(Frame fr) {
  fr.remove("ID").remove();
  return fr.find("CAPSULE");
 }
},

代码示例来源：origin: h2oai/h2o-3

@Override
 int prep(Frame fr) {
  fr.remove("name").remove();
  return fr.find("cylinders");
 }
},

代码示例来源：origin: h2oai/h2o-3

@Override
 int prep(Frame fr) {
  fr.remove("MonthlyIncome").remove();
  return fr.find("SeriousDlqin2yrs");
 }
},

代码示例来源：origin: h2oai/h2o-3

@Override
protected Frame predictScoreImpl(Frame fr, Frame adaptFrm, String destination_key, Job j, boolean computeMetrics, CFuncRef customMetricFunc) {
 int nResponses = 0;
 for (String col : _parms.responseCols())
  if (adaptFrm.find(col) != -1)
   nResponses++;
 DataInfo scoringInfo = _output.data_info.scoringInfo(_output._names, adaptFrm, nResponses, false);
 return new CoxPHScore(scoringInfo, _output, _parms.isStratified())
     .doAll(Vec.T_NUM, scoringInfo._adaptedFrame)
     .outputFrame(Key.<Frame>make(destination_key), new String[]{"lp"}, null);
}

代码示例来源：origin: h2oai/h2o-3

@Override
 int prep(Frame fr) {
  Vec resp = fr.remove("C2");
  fr.add("C2", resp.toCategoricalVec());
  resp.remove();
  return fr.find("C3");
 }
},

代码示例来源：origin: h2oai/h2o-3

@Override
protected ModelMetrics.MetricBuilder scoreMetrics(Frame adaptFrm) {
 final boolean makeNative = model_info()._backend ==null;
 if (makeNative) model_info().javaToNative();
 final boolean computeMetrics = (!isSupervised() || (adaptFrm.vec(_output.responseName()) != null && !adaptFrm.vec(_output.responseName()).isBad()));
 // Build up the names & domains.
 String [] domain = !computeMetrics ? _output._domains[_output._domains.length-1] : adaptFrm.lastVec().domain();
 // Score the dataset, building the class distribution & predictions
 BigScore bs = new DeepWaterBigScore(domain,0,adaptFrm.means(),_output.hasWeights() && adaptFrm.find(_output.weightsName()) >= 0,computeMetrics, false /*no preds*/, null).doAll(adaptFrm);
 if (makeNative) removeNativeState();
 return bs._mb;
}