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282 lines
8.6 KiB
Plaintext
282 lines
8.6 KiB
Plaintext
//- 💫 DOCS > API > MATCHER
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include ../_includes/_mixins
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+infobox("Changed in v2.0", "⚠️")
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| As of spaCy 2.0, #[code Matcher.add_pattern] and #[code Matcher.add_entity]
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| are deprecated and have been replaced with a simpler
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| #[+api("matcher#add") #[code Matcher.add]] that lets you add a list of
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| patterns and a callback for a given match ID. #[code Matcher.get_entity]
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| is now called #[+api("matcher#get") #[code matcher.get]].
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| #[code Matcher.load] (not useful, as it didn't allow specifying callbacks),
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| and #[code Matcher.has_entity] (now redundant) have been removed. The
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| concept of "acceptor functions" has also been retired – this logic can
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| now be handled in the callback functions.
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+h(2, "init") Matcher.__init__
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+tag method
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p Create the rule-based #[code Matcher].
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+aside-code("Example").
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from spacy.matcher import Matcher
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patterns = {'HelloWorld': [{'LOWER': 'hello'}, {'LOWER': 'world'}]}
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matcher = Matcher(nlp.vocab)
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+table(["Name", "Type", "Description"])
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+row
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+cell #[code vocab]
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+cell #[code Vocab]
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+cell
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| The vocabulary object, which must be shared with the documents
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| the matcher will operate on.
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+row
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+cell #[code patterns]
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+cell dict
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+cell Patterns to add to the matcher, keyed by ID.
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+row("foot")
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+cell returns
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+cell #[code Matcher]
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+cell The newly constructed object.
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+h(2, "call") Matcher.__call__
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+tag method
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p Find all token sequences matching the supplied patterns on the #[code Doc].
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+aside-code("Example").
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from spacy.matcher import Matcher
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matcher = Matcher(nlp.vocab)
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pattern = [{'LOWER': "hello"}, {'LOWER': "world"}]
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matcher.add("HelloWorld", None, pattern)
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doc = nlp(u'hello world!')
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matches = matcher(doc)
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+table(["Name", "Type", "Description"])
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+row
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+cell #[code doc]
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+cell #[code Doc]
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+cell The document to match over.
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+row("foot")
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+cell returns
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+cell list
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+cell
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| A list of #[code (match_id, start, end)] tuples, describing the
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| matches. A match tuple describes a span #[code doc[start:end]].
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| The #[code match_id] is the ID of the added match pattern.
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+infobox("Important note")
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| By default, the matcher #[strong does not perform any action] on matches,
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| like tagging matched phrases with entity types. Instead, actions need to
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| be specified when #[strong adding patterns or entities], by
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| passing in a callback function as the #[code on_match] argument on
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| #[+api("matcher#add") #[code add]]. This allows you to define custom
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| actions per pattern within the same matcher. For example, you might only
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| want to merge some entity types, and set custom flags for other matched
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| patterns. For more details and examples, see the usage guide on
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| #[+a("/usage/linguistic-features#rule-based-matching") rule-based matching].
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+h(2, "pipe") Matcher.pipe
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+tag method
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p Match a stream of documents, yielding them in turn.
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+aside-code("Example").
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from spacy.matcher import Matcher
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matcher = Matcher(nlp.vocab)
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for doc in matcher.pipe(docs, batch_size=50, n_threads=4):
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pass
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+table(["Name", "Type", "Description"])
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+row
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+cell #[code docs]
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+cell iterable
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+cell A stream of documents.
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+row
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+cell #[code batch_size]
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+cell int
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+cell The number of documents to accumulate into a working set.
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+row
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+cell #[code n_threads]
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+cell int
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+cell
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| The number of threads with which to work on the buffer in
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| parallel, if the #[code Matcher] implementation supports
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| multi-threading.
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+row
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+cell #[code return_matches]
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+tag-new(2.1)
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+cell bool
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+cell
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| Yield the match lists along with the docs, making results
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| #[code (doc, matches)] tuples.
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+row
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+cell #[code as_tuples]
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+tag-new(2.1)
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+cell bool
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+cell
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| Interpret the input stream as #[code (doc, context)] tuples, and
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| yield #[code (result, context)] tuples out. If both
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| #[code return_matches] and #[code as_tuples] are #[code True],
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| the output will be a sequence of
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| #[code ((doc, matches), context)] tuples.
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+row("foot")
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+cell yields
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+cell #[code Doc]
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+cell Documents, in order.
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+h(2, "len") Matcher.__len__
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+tag method
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+tag-new(2)
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p
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| Get the number of rules added to the matcher. Note that this only returns
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| the number of rules (identical with the number of IDs), not the number
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| of individual patterns.
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+aside-code("Example").
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matcher = Matcher(nlp.vocab)
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assert len(matcher) == 0
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matcher.add('Rule', None, [{'ORTH': 'test'}])
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assert len(matcher) == 1
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+table(["Name", "Type", "Description"])
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+row("foot")
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+cell returns
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+cell int
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+cell The number of rules.
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+h(2, "contains") Matcher.__contains__
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+tag method
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+tag-new(2)
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p Check whether the matcher contains rules for a match ID.
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+aside-code("Example").
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matcher = Matcher(nlp.vocab)
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assert 'Rule' not in matcher
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matcher.add('Rule', None, [{'ORTH': 'test'}])
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assert 'Rule' in matcher
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+table(["Name", "Type", "Description"])
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+row
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+cell #[code key]
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+cell unicode
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+cell The match ID.
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+row("foot")
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+cell returns
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+cell int
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+cell Whether the matcher contains rules for this match ID.
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+h(2, "add") Matcher.add
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+tag method
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+tag-new(2)
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p
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| Add a rule to the matcher, consisting of an ID key, one or more patterns, and
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| a callback function to act on the matches. The callback function will
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| receive the arguments #[code matcher], #[code doc], #[code i] and
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| #[code matches]. If a pattern already exists for the given ID, the
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| patterns will be extended. An #[code on_match] callback will be
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| overwritten.
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+aside-code("Example").
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def on_match(matcher, doc, id, matches):
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print('Matched!', matches)
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matcher = Matcher(nlp.vocab)
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matcher.add('HelloWorld', on_match, [{'LOWER': 'hello'}, {'LOWER': 'world'}])
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matcher.add('GoogleMaps', on_match, [{'ORTH': 'Google'}, {'ORTH': 'Maps'}])
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doc = nlp(u'HELLO WORLD on Google Maps.')
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matches = matcher(doc)
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+table(["Name", "Type", "Description"])
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+row
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+cell #[code match_id]
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+cell unicode
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+cell An ID for the thing you're matching.
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+row
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+cell #[code on_match]
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+cell callable or #[code None]
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+cell
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| Callback function to act on matches. Takes the arguments
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| #[code matcher], #[code doc], #[code i] and #[code matches].
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+row
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+cell #[code *patterns]
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+cell list
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+cell
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| Match pattern. A pattern consists of a list of dicts, where each
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| dict describes a token.
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+infobox("Changed in v2.0", "⚠️")
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| As of spaCy 2.0, #[code Matcher.add_pattern] and #[code Matcher.add_entity]
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| are deprecated and have been replaced with a simpler
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| #[+api("matcher#add") #[code Matcher.add]] that lets you add a list of
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| patterns and a callback for a given match ID.
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+code-wrapper
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+code-new.
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matcher.add('GoogleNow', merge_phrases, [{ORTH: 'Google'}, {ORTH: 'Now'}])
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+code-old.
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matcher.add_entity('GoogleNow', on_match=merge_phrases)
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matcher.add_pattern('GoogleNow', [{ORTH: 'Google'}, {ORTH: 'Now'}])
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+h(2, "remove") Matcher.remove
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+tag method
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+tag-new(2)
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p
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| Remove a rule from the matcher. A #[code KeyError] is raised if the match
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| ID does not exist.
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+aside-code("Example").
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matcher.add('Rule', None, [{'ORTH': 'test'}])
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assert 'Rule' in matcher
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matcher.remove('Rule')
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assert 'Rule' not in matcher
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+table(["Name", "Type", "Description"])
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+row
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+cell #[code key]
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+cell unicode
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+cell The ID of the match rule.
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+h(2, "get") Matcher.get
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+tag method
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+tag-new(2)
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p
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| Retrieve the pattern stored for a key. Returns the rule as an
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| #[code (on_match, patterns)] tuple containing the callback and available
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| patterns.
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+aside-code("Example").
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pattern = [{'ORTH': 'test'}]
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matcher.add('Rule', None, pattern)
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on_match, patterns = matcher.get('Rule')
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+table(["Name", "Type", "Description"])
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+row
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+cell #[code key]
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+cell unicode
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+cell The ID of the match rule.
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+row("foot")
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+cell returns
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+cell tuple
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+cell The rule, as an #[code (on_match, patterns)] tuple.
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