spaCy/website/docs/usage/troubleshooting.jade

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2017-03-26 11:42:36 +00:00
//- 💫 DOCS > USAGE > TROUBLESHOOTING
include ../../_includes/_mixins
p
| This section collects some of the most common errors you may come
| across when installing, loading and using spaCy, as well as their solutions.
+aside("Help us improve this guide")
| Did you come across a problem like the ones listed here and want to
| share the solution? You can find the "Suggest edits" button at the
| bottom of this page that points you to the source. We always
| appreciate #[+a(gh("spaCy") + "/pulls") pull requests]!
+h(2, "install-loading") Installation and loading
+h(3, "compatible-model") No compatible model found
+code(false, "text").
No compatible model found for [lang] (spaCy v#{SPACY_VERSION}).
p
| This usually means that the model you're trying to download does not
| exist, or isn't available for your version of spaCy.
+infobox("Solutions")
| Check the #[+a(gh("spacy-models", "compatibility.json")) compatibility table]
| to see which models are available for your spaCy version. If you're using
| an old version, consider upgrading to the latest release. Note that while
| spaCy supports tokenization for
| #[+a("/docs/api/language-models/#alpha-support") a variety of languages],
| not all of them come with statistical models. To only use the tokenizer,
| import the language's #[code Language] class instead, for example
| #[code from spacy.fr import French].
+h(3, "symlink-privilege") Symbolic link privilege not held
+code(false, "text").
OSError: symbolic link privilege not held
p
| To create #[+a("/docs/usage/models/#usage") shortcut links] that let you
| load models by name, spaCy creates a symbolic link in the
| #[code spacy/data] directory. This means your user needs permission to do
| this. The above error mostly occurs when doing a system-wide installation,
| which will create the symlinks in a system directory.
+infobox("Solutions")
| Run the #[code download] or #[code link] command as administrator,
| or use a #[code virtualenv] to install spaCy in a user directory, instead
| of doing a system-wide installation.
+h(3, "import-error") Import error
+code(false, "text").
Import Error: No module named spacy
p
| This error means that the spaCy module can't be located on your system, or in
| your environment.
+infobox("Solutions")
| Make sure you have spaCy installed. If you're using a #[code virtualenv],
| make sure it's activated and check that spaCy is installed in that
| environment otherwise, you're trying to load a system installation. You
| can also run #[code which python] to find out where your Python
| executable is located.
+h(3, "import-error-models") Import error: models
+code(false, "text").
ImportError: No module named 'en_core_web_sm'
p
| As of spaCy v1.7, all models can be installed as Python packages. This means
| that they'll become importable modules of your application. When creating
| #[+a("/docs/usage/models/#usage") shortcut links], spaCy will also try
| to import the model to load its meta data. If this fails, it's usually a
| sign that the package is not installed in the current environment.
+infobox("Solutions")
| Run #[code pip list] or #[code pip freeze] to check which model packages
| you have installed, and install the
| #[+a("/docs/usage/models#available") correct models] if necessary. If you're
| importing a model manually at the top of a file, make sure to use the name
| of the package, not the shortcut link you've created.
+h(3, "vocab-strings") File not found: vocab/strings.json
+code(false, "text").
FileNotFoundError: No such file or directory: [...]/vocab/strings.json
p
| This error may occur when using #[code spacy.load()] to load
| a language model either because you haven't set up a
| #[+a("/docs/usage/models/#usage") shortcut link] for it, or because it
| doesn't actually exist.
+infobox("Solutions")
| Set up a #[+a("/docs/usage/models/#usage") shortcut link] for the model
| you want to load. This can either be an installed model package, or a
| local directory containing the model data. If you want to use one of the
| #[+a("/docs/api/language-models/#alpha-support") alpha tokenizers] for
| languages that don't yet have a statistical model, you should import its
| #[code Language] class instead, for example
| #[code from spacy.fr import French].
+h(3, "command-not-found") Command not found
+code(false, "text").
command not found: spacy
p
| This error may occur when running the #[code spacy] command from the
| command line. spaCy does not currently add an entry to our #[code PATH]
| environment variable, as this can lead to unexpected results, especially
| when using #[code virtualenv]. Instead, commands need to be prefixed with
| #[code python -m].
+infobox("Solution")
| Run the command with #[code python -m], for example
| #[code python -m spacy download en]. For more info on this, see the
| #[+a("/docs/usage/cli") CLI documentation].
+h(2, "usage") Using spaCy
+h(3, "pos-lemma-number") POS tag or lemma is returned as number
+code.
doc = nlp(u'This is text.')
print([word.pos for word in doc])
# [88, 98, 90, 95]
p
| Like many NLP libraries, spaCy encodes all strings to integers. This
| reduces memory usage and improves efficiency. The integer mapping also
| makes it easy to interoperate with numpy. To access the string
| representation instead of the integer ID, add an underscore #[code _]
| after the attribute.
+infobox("Solutions")
| Use #[code pos_] or #[code lemma_] instead. See the
| #[+api("token#attributes") #[code Token] attributes] for a list of available
| attributes and their string representations.
+h(3, "pron-lemma") Pronoun lemma is returned as #[code -PRON-]
+code.
doc = nlp(u'They are')
print(doc[0].lemma_)
# -PRON-
p
| This is in fact expected behaviour and not a bug.
| Unlike verbs and common nouns, there's no clear base form of a personal
| pronoun. Should the lemma of "me" be "I", or should we normalize person
| as well, giving "it" — or maybe "he"? spaCy's solution is to introduce a
| novel symbol, #[code -PRON-], which is used as the lemma for
| all personal pronouns. For more info on this, see the
| #[+api("annotation#lemmatization") annotation specs] on lemmatization.