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expected_fscore(double[], int, double)
- Static method in class
FScore
Return the F
beta
score when the first n instances are predicted as positive.
expected_fscores(double[], int, int)
- Static method in class
FScore
Return the F
q/r
scores when the first k instances are predicted as positive, for all k.
expected_fscores(double[], double)
- Static method in class
FScore
Return the F
beta
scores when the first n instances are predicted as positive, for all n.
F
FScore
- Class in
<Unnamed>
This class implements the cubic time and quadratic time algorithms for computing the predictions maximizing the expected F-score under the label independence assumption.
FScore()
- Constructor for class
FScore
M
main(String[])
- Static method in class
FScore
max_expected_fscore(double[], int, int)
- Static method in class
FScore
Return the maximum expected F
q/r
when the probabilities that the instances are positive are given by p
max_expected_fscore(double[], double)
- Static method in class
FScore
Return the maximum expected F
beta
when the probabilities that the instances are positive are given by p
max_expected_fscore_preds(double[], int, int)
- Static method in class
FScore
Return the predictions maximizing the expected F
q/r
when the probabilities that the instances are positive are given by p.
max_expected_fscore_preds(double[], double)
- Static method in class
FScore
Return the predictions maximizing the expected F
beta
when the probabilities that the instances are positive are given by p.
T
test(double[], int, int)
- Static method in class
FScore
E
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