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DocPallet->DocBin in docs
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@ -118,20 +118,20 @@ classification.
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</Infobox>
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</Infobox>
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### New DocPallet class to efficiently Doc collections
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### New DocBin class to efficiently serialize Doc collections
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> #### Example
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> #### Example
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>
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>
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> ```python
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> ```python
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> from spacy.tokens import DocPallet
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> from spacy.tokens import DocBin
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> pallet = DocPallet(attrs=["LEMMA", "ENT_IOB", "ENT_TYPE"], store_user_data=False)
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> doc_bin = DocBin(attrs=["LEMMA", "ENT_IOB", "ENT_TYPE"], store_user_data=False)
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> for doc in nlp.pipe(texts):
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> for doc in nlp.pipe(texts):
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> pallet.add(doc)
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> doc_bin.add(doc)
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> byte_data = pallet.to_bytes()
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> byte_data = docbin.to_bytes()
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> # Deserialize later, e.g. in a new process
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> # Deserialize later, e.g. in a new process
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> nlp = spacy.blank("en")
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> nlp = spacy.blank("en")
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> pallet = DocPallet()
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> doc_bin = DocBin()
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> docs = list(pallet.get_docs(nlp.vocab))
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> docs = list(doc_bin.get_docs(nlp.vocab))
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> ```
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> ```
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If you're working with lots of data, you'll probably need to pass analyses
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If you're working with lots of data, you'll probably need to pass analyses
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@ -140,7 +140,7 @@ save out work to disk. Often it's sufficient to use the doc.to_array()
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functionality for this, and just serialize the numpy arrays --- but other times
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functionality for this, and just serialize the numpy arrays --- but other times
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you want a more general way to save and restore `Doc` objects.
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you want a more general way to save and restore `Doc` objects.
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The new `DocPallet` class makes it easy to serialize and deserialize
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The new `DocBin` class makes it easy to serialize and deserialize
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a collection of `Doc` objects together, and is much more efficient than
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a collection of `Doc` objects together, and is much more efficient than
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calling `doc.to_bytes()` on each individual `Doc` object. You can also control
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calling `doc.to_bytes()` on each individual `Doc` object. You can also control
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what data gets saved, and you can merge pallets together for easy
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what data gets saved, and you can merge pallets together for easy
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