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Doc fixes

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Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
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Daniël de Kok 2023-12-07 15:42:22 +01:00 committed by GitHub
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spacy/ml/models/textcat.py
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@ -221,12 +221,12 @@ def build_reduce_text_classifier(
"""Build a model that classifies pooled `Doc` representations. """Build a model that classifies pooled `Doc` representations.
Pooling is performed using reductions. Reductions are concatenated when Pooling is performed using reductions. Reductions are concatenated when
multible reductions are used. multiple reductions are used.
tok2vec (Model): the tok2vec layer to pool over. tok2vec (Model): the tok2vec layer to pool over.
exclusive_classes (bool): Whether or not classes are mutually exclusive. exclusive_classes (bool): Whether or not classes are mutually exclusive.
use_reduce_first (bool): Pool by using the hidden representation of the use_reduce_first (bool): Pool by using the hidden representation of the
first token of a `Doc` first token of a `Doc`.
use_reduce_max (bool): Pool by taking the maximum values of the hidden use_reduce_max (bool): Pool by taking the maximum values of the hidden
representations of a `Doc`. representations of a `Doc`.
use_reduce_mean (bool): Pool by taking the mean of all hidden use_reduce_mean (bool): Pool by taking the mean of all hidden