## Generated by Codox

# Propeller 0.3.0

# propeller.tools.metrics

Functions to measure things.

### compute-next-row

`(compute-next-row prev-row current-element other-seq pred)`

computes the next row using the prev-row current-element and the other seq

### hamming-distance

`(hamming-distance seq1 seq2)`

Calculates the Hamming distance between two sequences, including strings.

### levenshtein-distance

`(levenshtein-distance a b & {p :predicate, :or {p =}})`

Levenshtein Distance - http://en.wikipedia.org/wiki/Levenshtein_distance In Information Theory and Computer Science, the Levenshtein distance is a metric for measuring the amount of difference between two sequences. This is a functional implementation of the Levenshtein edit distance with as little mutability as possible. Still maintains the O(nm) guarantee.

### mean

`(mean coll)`

Returns the mean of a collection.

### median

`(median coll)`

Returns the median of a collection.

### sequence-similarity

`(sequence-similarity seq1 seq2)`

Returns a number between 0 and 1, indicating how similar the sequences are as a normalized, inverted Levenshtein distance, with 1 indicating identity and 0 indicating no similarity.