spaCy/spacy/pipeline/trainable_pipe.pxd

from .pipe cimport Pipe
from ..vocab cimport Vocab

cdef class TrainablePipe(Pipe):
    cdef public Vocab vocab
    cdef public object model
    cdef public object cfg
    cdef public object scorer
    cdef bint _save_activations
TrainablePipe (#6213) * rename Pipe to TrainablePipe * split functionality between Pipe and TrainablePipe * remove unnecessary methods from certain components * cleanup * hasattr(component, "pipe") should be sufficient again * remove serialization and vocab/cfg from Pipe * unify _ensure_examples and validate_examples * small fixes * hasattr checks for self.cfg and self.vocab * make is_resizable and is_trainable properties * serialize strings.json instead of vocab * fix KB IO + tests * fix typos * more typos * _added_strings as a set * few more tests specifically for _added_strings field * bump to 3.0.0a36 2020-10-08 22:33:49 +03:00			`from .pipe cimport Pipe`
			`from ..vocab cimport Vocab`

			`cdef class TrainablePipe(Pipe):`
			`cdef public Vocab vocab`
			`cdef public object model`
			`cdef public object cfg`
Refactor scoring methods to use registered functions (#8766) * Add scorer option to components Add an optional `scorer` parameter to all pipeline components. If a scoring function is provided, it overrides the default scoring method for that component. * Add registered scorers for all components * Add `scorers` registry * Move all scoring methods outside of components as independent functions and register * Use the registered scoring methods as defaults in configs and inits Additional: * The scoring methods no longer have access to the full component, so use settings from `cfg` as default scorer options to handle settings such as `labels`, `threshold`, and `positive_label` * The `attribute_ruler` scoring method no longer has access to the patterns, so all scoring methods are called * Bug fix: `spancat` scoring method is updated to set `allow_overlap` to score overlapping spans correctly * Update Russian lemmatizer to use direct score method * Check type of cfg in Pipe.score * Fix check * Update spacy/pipeline/sentencizer.pyx Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Remove validate_examples from scoring functions * Use Pipe.labels instead of Pipe.cfg["labels"] Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> 2021-08-10 16:13:39 +03:00			`cdef public object scorer`
Store activations in `Doc`s when `save_activations` is enabled (#11002) * Store activations in Doc when `store_activations` is enabled This change adds the new `activations` attribute to `Doc`. This attribute can be used by trainable pipes to store their activations, probabilities, and guesses for downstream users. As an example, this change modifies the `tagger` and `senter` pipes to add an `store_activations` option. When this option is enabled, the probabilities and guesses are stored in `set_annotations`. * Change type of `store_activations` to `Union[bool, List[str]]` When the value is: - A bool: all activations are stored when set to `True`. - A List[str]: the activations named in the list are stored * Formatting fixes in Tagger * Support store_activations in spancat and morphologizer * Make Doc.activations type visible to MyPy * textcat/textcat_multilabel: add store_activations option * trainable_lemmatizer/entity_linker: add store_activations option * parser/ner: do not currently support returning activations * Extend tagger and senter tests So that they, like the other tests, also check that we get no activations if no activations were requested. * Document `Doc.activations` and `store_activations` in the relevant pipes * Start errors/warnings at higher numbers to avoid merge conflicts Between the master and v4 branches. * Add `store_activations` to docstrings. * Replace store_activations setter by set_store_activations method Setters that take a different type than what the getter returns are still problematic for MyPy. Replace the setter by a method, so that type inference works everywhere. * Use dict comprehension suggested by @svlandeg * Revert "Use dict comprehension suggested by @svlandeg" This reverts commit 6e7b958f7060397965176c69649e5414f1f24988. * EntityLinker: add type annotations to _add_activations * _store_activations: make kwarg-only, remove doc_scores_lens arg * set_annotations: add type annotations * Apply suggestions from code review Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * TextCat.predict: return dict * Make the `TrainablePipe.store_activations` property a bool This means that we can also bring back `store_activations` setter. * Remove `TrainablePipe.activations` We do not need to enumerate the activations anymore since `store_activations` is `bool`. * Add type annotations for activations in predict/set_annotations * Rename `TrainablePipe.store_activations` to `save_activations` * Error E1400 is not used anymore This error was used when activations were still `Union[bool, List[str]]`. * Change wording in API docs after store -> save change * docs: tag (save_)activations as new in spaCy 4.0 * Fix copied line in morphologizer activations test * Don't train in any test_save_activations test * Rename activations - "probs" -> "probabilities" - "guesses" -> "label_ids", except in the edit tree lemmatizer, where "guesses" -> "tree_ids". * Remove unused W400 warning. This warning was used when we still allowed the user to specify which activations to save. * Formatting fixes Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Replace "kb_ids" by a constant * spancat: replace a cast by an assertion * Fix EOF spacing * Fix comments in test_save_activations tests * Do not set RNG seed in activation saving tests * Revert "spancat: replace a cast by an assertion" This reverts commit 0bd5730d16432443a2b247316928d4f789ad8741. Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> 2022-09-13 10:51:12 +03:00			`cdef bint _save_activations`