Metrics

Python implementation of some more uncommon metrics. Currently only longest common subsequence LCS metrics are implemented.

Dependencies

This package requires the following python libraries:

1. numpy (automatically installed when package is installed via pip)

Installation

The metrics package can be installed directly from pip.

pip3 install distance-metrics

Metrics

The metrics library currently has support for the following modules.

1. Longest common subsequence metrics distance_metrics.lcs

Longest common subsequence metrics

The LCS module currently implements 2 distances:

1. Length of longest common subsequence (distance_metrics.lcs.llcs(u, v)).
2. Bakkelund distance [1] (metrics.lcs.bakkelund(u, v))

Usage

# Imports
from distance_metrics import lcs
import numpy as np

# Create example input arrays
u = np.random.choice(list('ABCD'), size=20)
v = np.random.choice(list('BCDE'), size=20)

# Compute metrics
llcs      = lcs.llcs(u, v)
bakkelund = lcs.bakkelund(u, v)

# Print values
print("LLCS     : {}".format(llcs))
print("Bakkelund: {}".format(bakkelund))