* Fix example code for spacy-wordnet
It looks like in the most recent version, 0.1.0, it's no longer possible
to pass the lang parameter to the component separately. Doing so will
raise an error.
* Apply suggestions from code review
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* Cleanup
* More cleanup
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* Add experimental coref docs
* Docs cleanup
* Apply suggestions from code review
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* Apply changes from code review
* Fix prettier formatting
It seems a period after a number made this think it was a list?
* Update docs on examples for initialize
* Add docs for coref scorers
* Remove 3.4 notes from coref
There won't be a "new" tag until it's in core.
* Add docs for span cleaner
* Fix docs
* Fix docs to match spacy-experimental
These weren't properly updated when the code was moved out of spacy
core.
* More doc fixes
* Formatting
* Update architectures
* Fix links
* Fix another link
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: svlandeg <svlandeg@github.com>
Due to problems with the javascript conversion in the website
quickstart, remove the `has_letters` setting to simplify generating
`attrs` for the default `tok2vec`.
Additionally reduce `PREFIX` as in the trained pipelines.
* Update documentation for dependency parser
* Update documentation for trainable_lemmatizer
* Update documentation for entity_linker
* Update documentation for ner
* Update documentation for morphologizer
* Update documentation for senter
* Update documentation for spancat
* Update documentation for tagger
* Update documentation for textcat
* Update documentation for tok2vec
* Run prettier on edited files
* Apply similar changes in transformer docs
* Remove need to say annotated example explicitly
I removed the need to say "Must contain at least one annotated Example"
because it's often a given that Examples will contain some gold-standard
annotation.
* Run prettier on transformer docs
After the precomputable affine table of shape [nB, nF, nO, nP] is
computed, padding with shape [1, nF, nO, nP] is assigned to the first
row of the precomputed affine table. However, when we are indexing the
precomputed table, we get a row of shape [nF, nO, nP]. CuPy versions
before 10.0 cannot paper over this shape difference.
This change fixes compatibility with CuPy < 10.0 by squeezing the first
dimension of the padding before assignment.
