Re-calculate MAP theta @param p @param end

Update MAP estimates of phi/theta @param c @param p

Given an updated sample index idx, update unsatisfied groundings @param z @param idx

Estimate phi/theta and write out to %s.phi/theta @param p Hyperparameters alpha/beta are required to estimate phi/theta @param basefn Base output fil

Convert to discrete z-vector and write out to file @param basefn

Copy this corpus TODO: does not support general metadata copying...! @param c

Init from a given .init or .sample file @param N @param T @param W @param D @param filename @param c

If doc has label, then z-label words in doc to provided topics

gradients[i] is z-gradient wrt indices[i] @param gradients @param indices

Each LogicRule has already been initialized with .applyEvidence()

Each LogicRule has already been initialized with .applyEvidence()

@param basefn will load %s.alpha/beta @throws IOException @throws MatrixException

Sort the <b>indices</b> of an array by the corresponding array values @param values Values to sort indices by @param order If > 0, ascending order (e

If wi in seed words, then zi in seed topics @param argToks

@param seedWords format is "123 333, 452, 567 121 411, ..."

Read integer sequence metadata to sideInfo @param filename @param mdName

Given the corpus, find occurrences of word A and word B

Find non-trivial groundings of this rule @param c @param p

Given the corpus, find occurrences of word A and word B

Concatenate this corpus with another, destructive to this Corpus @param other @return

Read entire file as a single String @param filename @return @throws IOException

Do a single Collapsed Gibbs sample, but with topic-words Phi fixed @param c Contains words, documents @param p Contains hyperparameters @param s Samp

Given Grounding g and LDA phi/theta, return [idx, newz] for best greedy move @param g @return

Total weight of rule (for sampling purposes)

Total weight of rule (for sampling purposes)

Return the discrete z-vector @return

Hacky piece of junk hashcode function

(destructively) merge these two hashes by summing in-place in h1. @param h1 @param h2 @return

@param args @throws IOException @throws MatrixException

@param args @throws IOException @throws MatrixException

@param args

For this z-assignment, how many groundings are satisfied?

Number of satisfied groundings is undefined for LDARule

Count satisfied groundings for this rule (easy to calc)

For this z-assignment, how many groundings are satisfied?