![]() ![]() ![]() To restore the values and access them via theĭoc._. Including the Doc.user_data and extension attributes will only serialize the Important note on serializing extension attributes If store_user_data is set to True, the Doc.user_data will be serialized as You canĪlso control what data gets saved, and you can merge pallets together for easy The DocBin class makes it easy to serialize and deserialize aĬollection of Doc objects together, and is much more efficient than callingĭoc.to_bytes on each individual Doc object. General way to save and restore Doc objects. This, and just serialize the numpy arrays – but other times you want a more It’s sufficient to use the Doc.to_array functionality for Spark, or even just to save out work to disk. If you’re working with lots of data, you’ll probably need to pass analysesīetween machines, either to use something like Dask or The language class, creates and adds the pipeline components based on the configĪnd then loads in the binary data. The config.cfg containing the language and pipeline information, initializes This is also how spaCy does it under the hood when loading a pipeline: it loads It is saved out with a pipeline as the config.cfg. The nlp.config attribute is aĭictionary containing the training configuration, pipeline component factoriesĪnd other settings. The nlp.meta attribute is a JSON-serializableĭictionary and contains all pipeline meta information like the author and But it also means that you have to take care of storing the config, whichĬontains the pipeline configuration and all the relevant settings. This is a good thing, because it makes serialization When serializing the pipeline, keep in mind that this will only save out theīinary data for the individual components to allow spaCy to restore them – Have the following methods available: Method It’s like calling eval() on a string – soĭon’t unpickle objects from untrusted sources.Īll container classes, i.e. When you unpickle an object, you’re agreeing toĮxecute whatever code it contains. Object to and from disk, but it’s also used for distributed computing, e.g. It lets you transferĪrbitrary Python objects between processes. Pickle is Python’s built-in object persistence system. spaCyĬomes with built-in serialization methods and supports the You’ll have to translate its contents and structure into a format that can be Progress – for example, everything that’s in your nlp object. Updates to the component models, you’ll eventually want to save your If you’ve been modifying the pipeline, vocabulary, vectors and entities, or made ![]()
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