This is a script to train conditional random fields. It is written to minimize the number of lines of code, with no regard for efficiency.crf.py �� Q V @�&Q V #!/usr/bin/python # crf.py (by Graham Neubig) # This script trains conditional random fields (CRFs) # stdin: A corpus of WORD_POS WORD_POS WORD_POS sentences # stdout: Feature vectors for emission and transition properties from collections import defaultdict from math import log, exp import sys import operator # The L2 regularization coefficient and learning rate for SGD l2_co
A simple program to sample functions from a Gaussian process and plot them
