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https://github.com/explosion/spaCy.git
synced 2024-12-26 01:46:28 +03:00
remove labels from constructor
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fcd79e0655
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@ -47,7 +47,7 @@ class MultitaskObjective(Tagger):
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side-objective.
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"""
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def __init__(self, vocab, model, name="nn_labeller", *, labels, target):
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def __init__(self, vocab, model, name="nn_labeller", *, target):
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self.vocab = vocab
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self.model = model
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self.name = name
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@ -67,7 +67,7 @@ class MultitaskObjective(Tagger):
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self.make_label = target
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else:
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raise ValueError(Errors.E016)
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cfg = {"labels": labels or {}, "target": target}
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cfg = {"labels": {}, "target": target}
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self.cfg = dict(cfg)
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@property
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@ -81,10 +81,13 @@ class MultitaskObjective(Tagger):
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def set_annotations(self, docs, dep_ids):
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pass
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def initialize(self, get_examples, nlp=None):
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def initialize(self, get_examples, nlp=None, labels=None):
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if not hasattr(get_examples, "__call__"):
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err = Errors.E930.format(name="MultitaskObjective", obj=type(get_examples))
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raise ValueError(err)
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if labels is not None:
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self.labels = labels
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else:
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for example in get_examples():
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for token in example.y:
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label = self.make_label(token)
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@ -61,14 +61,13 @@ class Tagger(TrainablePipe):
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DOCS: https://nightly.spacy.io/api/tagger
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"""
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def __init__(self, vocab, model, name="tagger", *, labels=None):
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def __init__(self, vocab, model, name="tagger"):
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"""Initialize a part-of-speech tagger.
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vocab (Vocab): The shared vocabulary.
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model (thinc.api.Model): The Thinc Model powering the pipeline component.
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name (str): The component instance name, used to add entries to the
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losses during training.
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labels (List): The set of labels. Defaults to None.
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DOCS: https://nightly.spacy.io/api/tagger#init
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"""
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@ -76,7 +75,7 @@ class Tagger(TrainablePipe):
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self.model = model
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self.name = name
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self._rehearsal_model = None
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cfg = {"labels": labels or []}
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cfg = {"labels": []}
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self.cfg = dict(sorted(cfg.items()))
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@property
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