Public Member Functions |
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| ConfusionMatrix () |
| | Create an empty confusion matrix that can later be resized with resize().
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| ConfusionMatrix (const ConfusionMatrix &other) |
| | create a confusion matrix using the attribute values of another matrix
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| ConfusionMatrix (size_t numClasses) |
| | Create a confusion matrix of size numClasses × numClasses with zero initial values.
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| ConfusionMatrix (size_t numClasses, std::vector< LabelType > ignoredLabels) |
| | Create a confusion matrix of size numClasses x numClasses and sets which labels should be ignored in the calculations.
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ConfusionMatrix & | operator= (const ConfusionMatrix &other) |
| | copies the attribute values of another confusion matrix
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void | reset () |
| | Reset all per-class counters to zero.
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| void | resize (unsigned int numClasses) |
| | Resize the confusion matrix.
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| bool | isNormalized () const |
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void | operator+= (const ConfusionMatrix &other) |
| | adds the data values of another confusion matrix
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cuv::reference< double,
cuv::host_memory_space > | operator() (int label, int prediction) |
| double | operator() (int label, int prediction) const |
| void | increment (int label, int prediction) |
| | Increment the counter in the matrix for the given label and the prediction.
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| unsigned int | getNumClasses () const |
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void | normalize () |
| | Normalizes the confusion matrix such that the sum of the predictions equals one for every label (class).
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| double | averageClassAccuracy (bool includeVoid=true) const |
| | Calculate the average per-class accuracy which is equal to the average over the diagonal.
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Helper class to maintain a n×n confusion matrix.
Construction of the confusion matrix is usually a two-phase process.
- Increment the label/prediction counters
- Normalize the confusion matrix such that the sum over the predictions for every class is 1.
Definition at line 20 of file predict.h.
1.8.1.2
