/
factories.py
67 lines (57 loc) · 2.46 KB
/
factories.py
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from small_text.classifiers.factories import AbstractClassifierFactory
from small_text.integrations.transformers.classifiers.classification import \
TransformerBasedClassification
from small_text.integrations.transformers.classifiers.setfit import SetFitClassification
class TransformerBasedClassificationFactory(AbstractClassifierFactory):
def __init__(self, transformer_model_args, num_classes, kwargs={}):
"""
Parameters
----------
transformer_model_args : TransformerModelArguments
Name of the sentence transformer model.
num_classes : int
Number of classes.
kwargs : dict
Keyword arguments which will be passed to `TransformerBasedClassification`.
"""
self.transformer_model_args = transformer_model_args
self.num_classes = num_classes
self.kwargs = kwargs
def new(self):
"""Creates a new TransformerBasedClassification instance.
Returns
-------
classifier : TransformerBasedClassification
A new instance of TransformerBasedClassification which is initialized with the given keyword args `kwargs`.
"""
return TransformerBasedClassification(self.transformer_model_args,
self.num_classes,
**self.kwargs)
class SetFitClassificationFactory(AbstractClassifierFactory):
"""
.. versionadded:: 1.2.0
"""
def __init__(self, setfit_model_args, num_classes, classification_kwargs={}):
"""
Parameters
----------
setfit_model_args : SetFitModelArguments
Name of the sentence transformer model.
num_classes : int
Number of classes.
classification_kwargs : dict
Keyword arguments which will be passed to `SetFitClassification`.
"""
self.setfit_model_args = setfit_model_args
self.num_classes = num_classes
self.classification_kwargs = classification_kwargs
def new(self):
"""Creates a new SetFitClassification instance.
Returns
-------
classifier : SetFitClassification
A new instance of SetFitClassification which is initialized with the given keyword args `kwargs`.
"""
return SetFitClassification(self.setfit_model_args,
self.num_classes,
**self.classification_kwargs)