galahad.server.classifier

Module Contents

Classes

AnnotationFeatures	Generic enumeration.
AnnotationTypes	Generic enumeration.
Classifier
ClassifierStore
Remapper

Functions

get_lock(lock_directory: pathlib.Path, lock_id: str) → filelock.FileLock
train_classifier(classifier: Classifier, dataset_folder: pathlib.Path, model_id: str, lock_directory: pathlib.Path)

Attributes

logger

galahad.server.classifier.logger

class galahad.server.classifier.AnnotationFeatures

Bases: enum.Enum

Generic enumeration.

Derive from this class to define new enumerations.

VALUE = f.value

class galahad.server.classifier.AnnotationTypes

Bases: enum.Enum

Generic enumeration.

Derive from this class to define new enumerations.

ANNOTATION = t.annotation

SENTENCE = t.sentence

TOKEN = t.token

class galahad.server.classifier.Classifier

consumes(self) → List[str]

property name(self) → str

abstract predict(self, model_id: str, document: galahad.server.dataclasses.Document) → Optional[galahad.server.dataclasses.Document]

produces(self) → List[str]

train(self, model_id: str, documents: List[galahad.server.dataclasses.Document])

class galahad.server.classifier.ClassifierStore(model_directory: pathlib.Path)

add_classifier(self, name: str, classifier: Classifier)

get_classifier(self, name: str) → Optional[Classifier]

get_classifier_info(self, name: str) → Optional[galahad.server.dataclasses.ClassifierInfo]

Builds classifier info for the classifier given by name and returns it.

Parameters

name – The name of the classifier whose info to get.

Returns

The classifier info of the classifier named name if it was found, else None.

get_classifier_infos(self) → List[galahad.server.dataclasses.ClassifierInfo]

Builds classifier infos for all classifiers in this store and returns it.

Returns

List of classifier infos for all stored classifiers.

class galahad.server.classifier.Remapper(remaps: Dict[str, str] = None)

remap(self, name: str) → str

galahad.server.classifier.get_lock(lock_directory: pathlib.Path, lock_id: str) → filelock.FileLock

galahad.server.classifier.train_classifier(classifier: Classifier, dataset_folder: pathlib.Path, model_id: str, lock_directory: pathlib.Path)