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@ -1,7 +1,10 @@ |
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package com.epmet.support.normalizing.batch; |
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import com.alibaba.fastjson.JSON; |
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import com.epmet.support.normalizing.BigDecimalScoreCalculator; |
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import com.epmet.support.normalizing.Correlation; |
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import com.epmet.support.normalizing.ScoreCalculator; |
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import com.epmet.support.normalizing.ScoreConstants; |
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import java.math.BigDecimal; |
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import java.math.RoundingMode; |
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@ -59,30 +62,28 @@ public class BatchScoreCalculator { |
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String sampleId = vo.getSampleId(); |
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//归一后的值
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BigDecimal normalizeValue;// = scoreCalculator.normalize(getFinalSampleValue(vo.getSampleValue(), threshold));
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//如果不需要归一 则 直接value*权重
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if (idx.isScore()) { |
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normalizeValue = getFinalSampleValue(vo.getSampleValue(), threshold); |
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} else { |
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normalizeValue = scoreCalculator.normalize(getFinalSampleValue(vo.getSampleValue(), threshold)); |
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} |
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//反正切函数 [-pi/2,pi/2]
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BigDecimal maxValue = idx.getScoreCalculator().getMaxValue(); |
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BigDecimal minValue = idx.getScoreCalculator().getMinValue(); |
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BigDecimal minScoreValue = idx.getScoreCalculator().getMinScore(); |
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if (maxValue.compareTo(minValue) == 0) { |
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BigDecimal maxScoreValue = idx.getScoreCalculator().getMaxScore(); |
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if (idx.getScoreCalculator().getMaxValue().compareTo(idx.getScoreCalculator().getMinValue()) == 0) { |
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//*((max-min)/ (Math.PI/2))+min
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//Math.atan(new Double(vo.getSampleValue().toString()))*
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normalizeValue = new BigDecimal(Math.atan(new Double(getFinalSampleValue(vo.getSampleValue(), threshold).toString()))) |
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.multiply( |
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(maxValue.subtract(minValue).divide(new BigDecimal(Math.PI / 2), 10, RoundingMode.UNNECESSARY))) |
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(maxScoreValue.subtract(minScoreValue).divide(new BigDecimal(Math.PI / 2), 10, RoundingMode.HALF_UP))) |
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.add(minScoreValue).setScale(6, RoundingMode.HALF_UP); |
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//
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if (scoreCalculator.getCorrelation().getCode().equals(Correlation.NEGATIVE)) { |
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normalizeValue = maxValue.subtract(normalizeValue); |
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normalizeValue = maxScoreValue.subtract(normalizeValue); |
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} |
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}else { |
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//如果不需要归一 则 直接value*权重
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if (idx.isScore()) { |
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normalizeValue = getFinalSampleValue(vo.getSampleValue(), threshold); |
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} else { |
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normalizeValue = scoreCalculator.normalize(getFinalSampleValue(vo.getSampleValue(), threshold)); |
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} |
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} |
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BigDecimal score = normalizeValue.multiply(weight).setScale(6, RoundingMode.HALF_UP); |
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CalculateResult result = scoreCountOfSamples.get(sampleId); |
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@ -120,4 +121,16 @@ public class BatchScoreCalculator { |
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? bdRealValue |
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: threshold; |
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} |
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public static void main(String[] args) { |
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List<IndexInputVO> indexInputVOS = new ArrayList<>(); |
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String jsonStr = "{\"allParentIndexCode\":\"quanquxiangguan:zhilinengli\",\"indexId\":\"suoyoujiedaozlnlpjz\",\"indexValueVOs\":[{\"sampleId\":\"7b6f9a9f9f38d5f9fa7ce94a93d6eb28\",\"sampleValue\":69.830369}],\"score\":true,\"scoreCalculator\":{\"coefficient\":0,\"correlation\":\"POSITIVE\",\"maxScore\":100,\"maxValue\":69.830369,\"minScore\":60,\"minValue\":69.830369},\"threshold\":-1.0000,\"weight\":0.8000}"; |
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IndexInputVO vo = JSON.parseObject(jsonStr, IndexInputVO.class); |
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BigDecimalScoreCalculator sc = new BigDecimalScoreCalculator(new BigDecimal("69.830369"), new BigDecimal("69.830369"), ScoreConstants.MIN_SCORE, ScoreConstants.MAX_SCORE, Correlation.getCorrelation(Correlation.POSITIVE.getCode())); |
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vo.setScoreCalculator(sc); |
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indexInputVOS.add(vo); |
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BatchScoreCalculator sc2 = new BatchScoreCalculator(); |
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HashMap<String, CalculateResult> scoreTotalOfSampleId = sc2.getScoreTotalOfSampleId(indexInputVOS); |
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System.out.println(JSON.toJSONString(scoreTotalOfSampleId)); |
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} |
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} |
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wangchao
5 years ago