Overview | Package | Class | Tree | Deprecated | Index | Help | Weka's home
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD

## weka.classifiers
Interface IntervalEstimator

All Known Implementing Classes:
  GaussianProcesses

    public interface IntervalEstimator

Interface for classifiers that can output confidence intervals

Version:
  $Revision: 1.2 $
Author:
  Kurt Driessens (kurtd@cs.waikato.ac.nz)

Method Summary
`double[][]` | `predictInterval(Instance inst, double confidenceLevel)` Returns an N*2 array, where N is the number of possible classes, that estimate the boundaries for the confidence interval with a confidence level specified by the second parameter.

Method Detail

### predictInterval

    double[][] predictInterval(Instance inst,
                               double confidenceLevel)
                               throws java.lang.Exception

  Returns an N*2 array, where N is the number of possible classes, that estimate the boundaries for the confidence interval with a confidence level specified by the second parameter. Every row of the returned array gives the probability estimates for a single class. In the case of numeric predictions, a single confidance interval will be returned.

  Parameters:
    `inst` - the instance to make the prediction for.
    `confidenceLevel` - the percentage of cases that the interval should cover.
  Returns:
    an array of confidance intervals (one for each class)
  Throws:
    `java.lang.Exception` - if the intervals can't be computed

Overview | Package | Class | Tree | Deprecated | Index | Help | Weka's home
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD