* Matcher support for Span, as well as Doc #5056
* Removes an import unused
* Signed contributors agreement
* Code optimization and better test
* Add error message for bad Matcher call argument
* Fix merging
* Use max(uint64) for OOV lexeme rank
* Add test for default OOV rank
* Revert back to thinc==7.4.0
Requiring the updated version of thinc was unnecessary.
* Define OOV_RANK in one place
Define OOV_RANK in one place in `util`.
* Fix formatting [ci skip]
* Switch to external definitions of max(uint64)
Switch to external defintions of max(uint64) and confirm that they are
equal.
* Add Doc init from list of words and text
Add an option to initialize a `Doc` from a text and list of words where
the words may or may not include all whitespace tokens. If the text and
words are mismatched, raise an error.
* Fix error code
* Remove all whitespace before aligning words/text
* Move words/text init to util function
* Update error message
* Rename to get_words_and_spaces
* Fix formatting
* Fixed typo in cli warning
Fixed a typo in the warning for the provision of exactly two labels, which have not been designated as binary, to textcat.
* Create and signed contributor form
* Use inline flags in token_match patterns
Use inline flags in `token_match` patterns so that serializing does not
lose the flag information.
* Modify inline flag
* Modify inline flag
* Modify Vector.resize to work with cupy
Modify `Vectors.resize` to work with cupy. Modify behavior when resizing
to a different vector dimension so that individual vectors are truncated
or extended with zeros instead of having the original values filled into
the new shape without regard for the original axes.
* Update spacy/tests/vocab_vectors/test_vectors.py
Co-Authored-By: Matthew Honnibal <honnibal+gh@gmail.com>
Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
* Omit per_type scores from model-best calculations
The addition of per_type scores to the included metrics (#4911) causes
errors when they're compared while determining the best model, so omit
them for this `max()` comparison.
* Add default speed data for interrupted train CLI
Add better speed meta defaults so that an interrupted iteration still
produces a best model.
Co-authored-by: Ines Montani <ines@ines.io>
UD_Danish-DDT has (as far as I can tell) hallucinated periods after
abbreviations, so the changes are an artifact of the corpus and not due
to anything meaningful about Danish tokenization.
* merge_entities sets the vector in the vocab for the merged token
* add unit test
* import unicode_literals
* move code to _merge function
* only set vector if vocab has non-zero vectors
* Improve token head verification
Improve the verification for valid token heads when heads are set:
* in `Token.head`: heads come from the same document
* in `Doc.from_array()`: head indices are within the bounds of the
document
* Improve error message
* Fix model-final/model-best meta
* include speed and accuracy from final iteration
* combine with speeds from base model if necessary
* Include token_acc metric for all components
