- hypex [-hH size] [-s stepsize]
- CATDUMP1 CATDUMP2
- hmine -V
Given two such category dumps for simple unigram categories, hypex calculates the Kullback Leibler divergence between the probability models, and prints out exponential error exponents for Neyman-Pearson hypothesis tests under a range of threshold values. See Cover and Thomas (1991) Elements of Information Theory, Chap. 12.
Note that only simple categories are supported, and the output only makes sense under appropriate theoretical conditions. This is a very specialized calculator.
EXIT STATUShypex returns 0 on success, 1 if an error occurs.
- Same as dbacl(1). Selects the hash sizes in powers of two.
- Stepsize for the threshold. hypex outputs exponents for different values of the threshold, within an interval bounded by the Kullback Leibler divergences between the categories.
- Print the program version number and exit.
The source code for the latest version of this program is available at the following locations:
Doesn't work with complex categories, and theoretical assumptions are unrealistic in practice.
Laird A. Breyer <[email protected]>