Python load_model Examples

Example #1

File: analyze_tagger_coverage.py Project: ANB2/nltk-trainer

# TODO: support corpora with alternatives to tagged_sents that work just as well
if args.metrics and not hasattr(corpus, 'tagged_sents'):
	raise ValueError('%s does not support metrics' % args.corpus)

############
## tagger ##
############

if args.trace:
	print 'loading tagger %s' % args.tagger

if args.tagger == 'pattern':
	tagger = taggers.PatternTagger()
else:
	tagger = load_model(args.tagger)

#######################
## coverage analysis ##
#######################

if args.trace:
	print 'analyzing tag coverage of %s with %s\n' % (args.corpus, tagger.__class__.__name__)

tags_found = FreqDist()
unknown_words = set()

if args.metrics:
	tags_actual = FreqDist()
	tag_refs = []
	tag_test = []

Example #2

# TODO: support corpora with alternatives to tagged_sents that work just as well
if args.metrics and not hasattr(corpus, 'tagged_sents'):
    raise ValueError('%s does not support metrics' % args.corpus)

############
## tagger ##
############

if args.trace:
    print('loading tagger %s' % args.tagger)

if args.tagger == 'pattern':
    tagger = taggers.PatternTagger()
else:
    tagger = load_model(args.tagger)

#######################
## coverage analysis ##
#######################

if args.trace:
    print('analyzing tag coverage of %s with %s\n' %
          (args.corpus, tagger.__class__.__name__))

tags_found = collections.defaultdict(int)
unknown_words = set()

if args.metrics:
    tags_actual = collections.defaultdict(int)
    tag_refs = []

Example #3

File: analyze_chunker_coverage.py Project: alepharchives/nltk-trainer

corpus = load_corpus_reader(args.corpus, reader=args.reader, fileids=args.fileids)

if args.score and not hasattr(corpus, 'chunked_sents'):
	raise ValueError('%s does not support scoring' % args.corpus)

############
## tagger ##
############

if args.trace:
	print 'loading tagger %s' % args.tagger

if args.tagger == 'pattern':
	tagger = taggers.PatternTagger()
else:
	tagger = load_model(args.tagger)

if args.trace:
	print 'loading chunker %s' % args.chunker

if args.chunker == 'pattern':
	chunker = chunkers.PatternChunker()
else:
	chunker = load_model(args.chunker)

#######################
## coverage analysis ##
#######################

if args.score:
	if args.trace:

Example #4

                            fileids=args.fileids)

if args.score and not hasattr(corpus, 'chunked_sents'):
    raise ValueError('%s does not support scoring' % args.corpus)

############
## tagger ##
############

if args.trace:
    print 'loading tagger %s' % args.tagger

if args.tagger == 'pattern':
    tagger = taggers.PatternTagger()
else:
    tagger = load_model(args.tagger)

if args.trace:
    print 'loading chunker %s' % args.chunker

if args.chunker == 'pattern':
    chunker = chunkers.PatternChunker()
else:
    chunker = load_model(args.chunker)

#######################
## coverage analysis ##
#######################

if args.score:
    if args.trace: