* Integrate Python kernel via Binder
* Add live model test for languages with examples
* Update docs and code examples
* Adjust margin (if not bootstrapped)
* Add binder version to global config
* Update terminal and executable code mixins
* Pass attributes through infobox and section
* Hide v-cloak
* Fix example
* Take out model comparison for now
* Add meta text for compat
* Remove chart.js dependency
* Tidy up and simplify JS and port big components over to Vue
* Remove chartjs example
* Add Twitter icon
* Add purple stylesheet option
* Add utility for hand cursor (special cases only)
* Add transition classes
* Add small option for section
* Add thumb object for small round thumbnail images
* Allow unset code block language via "none" value
(workaround to still allow unset language to default to DEFAULT_SYNTAX)
* Pass through attributes
* Add syntax highlighting definitions for Julia, R and Docker
* Add website icon
* Remove user survey from navigation
* Don't hide GitHub icon on small screens
* Make top navigation scrollable on small screens
* Remove old resources page and references to it
* Add Universe
* Add helper functions for better page URL and title
* Update site description
* Increment versions
* Update preview images
* Update mentions of resources
* Fix image
* Fix social images
* Fix problem with cover sizing and floats
* Add divider and move badges into heading
* Add docstrings
* Reference converting section
* Add section on converting word vectors
* Move converting section to custom section and fix formatting
* Remove old fastText example
* Move extensions content to own section
Keep weird ID to not break permalinks for now (we don't want to rewrite URLs if not absolutely necessary)
* Use better component example and add factories section
* Add note on larger model
* Use better example for non-vector
* Remove similarity in context section
Only works via small models with tensors so has always been kind of confusing
* Add note on init-model command
* Fix lightning tour examples and make excutable if possible
* Add spacy train CLI section to train
* Fix formatting and add video
* Fix formatting
* Fix textcat example description (resolves#2246)
* Add dummy file to try resolve conflict
* Delete dummy file
* Tidy up [ci skip]
* Ensure sufficient height of loading container
* Add loading animation to universe
* Update Thebelab build and use better startup message
* Fix asset versioning
* Fix typo [ci skip]
* Add note on project idea label
aclweb.org is throwing a gateway timeout on the link as `https`+`aclweb.org`, but is fine with `https`+`www.aclweb.org` (also with `http`+`aclweb.org`, but let's keep it in `https`, shall we?
really small changes to English tags description, but might help some people while working on projects
1) -PRB- should be -RRB- instead
2) space gets tagged as _SP, and not SP
The function `dependency_labels_to_root(token)` defined in section *Get syntactic dependencies* does not terminate. Here is a complete example:
import spacy
nlp = spacy.load('en')
doc = nlp("Apple and banana are similar. Pasta and hippo aren't.")
def dependency_labels_to_root(token):
"""Walk up the syntactic tree, collecting the arc labels."""
dep_labels = []
while token.head is not token:
dep_labels.append(token.dep)
token = token.head
return dep_labels
dep_labels = dependency_labels_to_root(doc[1])
dep_labels
Replacing `is not` with `!=` solves the issue:
import spacy
nlp = spacy.load('en')
doc = nlp("Apple and banana are similar. Pasta and hippo aren't.")
def dependency_labels_to_root(token):
"""Walk up the syntactic tree, collecting the arc labels."""
dep_labels = []
while token.head != token:
dep_labels.append(token.dep)
token = token.head
return dep_labels
dep_labels = dependency_labels_to_root(doc[1])
dep_labels
The output is
['cc', 'nsubj']
Python 3 throws an error message on the original assert statement. Also, according to the Python documentation regarding the assert statement (https://docs.python.org/3/reference/simple_stmts.html#the-assert-statement), `assert` takes at least one argument and at most two. In the two-argument form the second argument is meant as an error message to be displayed when the assertion fails. I don't think this is intended in this case.
I'm using SpaCy version 2.0.3. If I don't use the *-operator in the example, Python throws an error message. With the operator it works fine. Also according to the documentation of the function `nlp.disable_pipes()`, it expects one or more strings as arguments and not one argument being a list of strings.
