explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2025-01-13 02:36:32 +03:00
Code Issues Packages Projects Releases Wiki Activity

Add docstring notes

Browse Source
This commit is contained in:
Matthew Honnibal 2020-08-07 16:17:34 +02:00
parent da6e59519e
commit 547bc8a82b
1 changed files with 3 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
spacy/ml/models/textcat.py
View File

@ -45,6 +45,7 @@ def build_bow_text_classifier(
no_output_layer: bool, no_output_layer: bool,
nO: Optional[int] = None, nO: Optional[int] = None,
) -> Model: ) -> Model:
# Don't document this yet, I'm not sure it's right.
with Model.define_operators({">>": chain}): with Model.define_operators({">>": chain}):
sparse_linear = SparseLinear(nO) sparse_linear = SparseLinear(nO)
model = extract_ngrams(ngram_size, attr=ORTH) >> sparse_linear model = extract_ngrams(ngram_size, attr=ORTH) >> sparse_linear
@ -69,6 +70,7 @@ def build_text_classifier(
dropout: Optional[float], dropout: Optional[float],
nO: Optional[int] = None, nO: Optional[int] = None,
) -> Model: ) -> Model:
# Don't document this yet, I'm not sure it's right.
cols = [ORTH, LOWER, PREFIX, SUFFIX, SHAPE, ID] cols = [ORTH, LOWER, PREFIX, SUFFIX, SHAPE, ID]
with Model.define_operators({">>": chain, "|": concatenate, "**": clone}): with Model.define_operators({">>": chain, "|": concatenate, "**": clone}):
lower = HashEmbed( lower = HashEmbed(
@ -160,6 +162,7 @@ def build_text_classifier_lowdata(
dropout: Optional[float], dropout: Optional[float],
nO: Optional[int] = None, nO: Optional[int] = None,
) -> Model: ) -> Model:
# Don't document this yet, I'm not sure it's right.
# Note, before v.3, this was the default if setting "low_data" and "pretrained_dims" # Note, before v.3, this was the default if setting "low_data" and "pretrained_dims"
with Model.define_operators({">>": chain, "**": clone}): with Model.define_operators({">>": chain, "**": clone}):
model = ( model = (