List of precision() Examples

Examples of precision()

de.lmu.ifi.dbs.elki.evaluation.clustering.BCubed.precision()
Get the BCubed Precision (first clustering) (normalized, 0 = unequal) @return BCubed Precision
de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting.precision()
Computes the pair-counting precision. @return pair-counting precision
java.math.BigDecimal.precision()
Returns the precision of this {@code BigDecimal}. (The precision is the number of digits in the unscaled value.)
The precision of a zero value is 1. @return the precision of this {@code BigDecimal}. @since 1.5
javax.persistence.Column.precision()
javax.persistence.MapKeyColumn.precision()
org.apache.camel.dataformat.bindy.annotation.DataField.precision()
org.apache.camel.dataformat.bindy.annotation.KeyValuePairField.precision()
org.apache.hadoop.hive.common.type.HiveDecimal.precision()
org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo.precision()
weka.classifiers.Evaluation.precision()
Calculate the precision with respect to a particular class. This is defined as
```
 correctly classified positives ------------------------------ total predicted as positive 
```
@param classIndex the index of the class to consider as "positive" @return the precision

Examples of org.apache.camel.dataformat.bindy.annotation.KeyValuePairField.precision()


                                    // Get pattern defined for the field
                                    String pattern = keyValuePairField.pattern();


                                    // Create format object to format the field
                                    Format<?> format = FormatFactory.getFormat(field.getType(), pattern, getLocale(), keyValuePairField.precision());


                                    // format the value of the key received
                                    Object result = formatField(format, value, key, line);


                                    if (LOG.isDebugEnabled()) {

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Examples of org.apache.camel.dataformat.bindy.annotation.KeyValuePairField.precision()

            }


            // Retrieve the format, pattern and precision associated to the type
            Class<?> type = field.getType();
            String pattern = keyValuePairField.pattern();
            int precision = keyValuePairField.precision();


            // Create format
            Format format = FormatFactory.getFormat(type, pattern, getLocale(), precision);


            // Get object to be formatted

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Examples of org.apache.hadoop.hive.common.type.HiveDecimal.precision()


    // we'll encode the absolute value (sign is separate)
    dec = dec.abs();


    // get the scale factor to turn big decimal into a decimal < 1
    int factor = dec.precision() - dec.scale();
    factor = sign == 1 ? factor : -factor;


        // convert the absolute big decimal to string
        dec.scaleByPowerOfTen(Math.abs(dec.scale()));
        String digits = dec.unscaledValue().toString();

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Examples of org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo.precision()

        }
        return Boolean.parseBoolean( pigObj.toString() );
      case DECIMAL:
        BigDecimal bd = (BigDecimal)pigObj;
        DecimalTypeInfo dti = (DecimalTypeInfo)hcatFS.getTypeInfo();
        if(bd.precision() > dti.precision() || bd.scale() > dti.scale()) {
          handleOutOfRangeValue(pigObj, hcatFS);
          return null;
        }
        return HiveDecimal.create(bd);
      case CHAR:

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Examples of weka.classifiers.Evaluation.precision()

    result[current++] = new Double(eval.numFalsePositives(m_IRclass));
    result[current++] = new Double(eval.trueNegativeRate(m_IRclass));
    result[current++] = new Double(eval.numTrueNegatives(m_IRclass));
    result[current++] = new Double(eval.falseNegativeRate(m_IRclass));
    result[current++] = new Double(eval.numFalseNegatives(m_IRclass));
    result[current++] = new Double(eval.precision(m_IRclass));
    result[current++] = new Double(eval.recall(m_IRclass));
    result[current++] = new Double(eval.fMeasure(m_IRclass));
    result[current++] = new Double(eval.areaUnderROC(m_IRclass));
    
    // Weighted IR stats

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