From d8e0ef257e73f28bc8eb7ae71a6d56f1c518ea7d Mon Sep 17 00:00:00 2001 From: jonaswinkler Date: Thu, 4 Feb 2021 15:15:11 +0100 Subject: [PATCH] don't load sklearn libraries unless needed --- src/documents/classifier.py | 10 ++++++---- src/documents/tests/data/model.pickle | Bin 0 -> 156345 bytes src/documents/tests/test_classifier.py | 9 +++++++++ src/paperless/settings.py | 13 ++++++++----- 4 files changed, 23 insertions(+), 9 deletions(-) create mode 100644 src/documents/tests/data/model.pickle diff --git a/src/documents/classifier.py b/src/documents/classifier.py index b427264c8..3051b82a5 100755 --- a/src/documents/classifier.py +++ b/src/documents/classifier.py @@ -5,10 +5,6 @@ import pickle import re from django.conf import settings -from sklearn.feature_extraction.text import CountVectorizer -from sklearn.neural_network import MLPClassifier -from sklearn.preprocessing import MultiLabelBinarizer, LabelBinarizer -from sklearn.utils.multiclass import type_of_target from documents.models import Document, MatchingModel @@ -109,6 +105,10 @@ class DocumentClassifier(object): pickle.dump(self.document_type_classifier, f) def train(self): + from sklearn.feature_extraction.text import CountVectorizer + from sklearn.neural_network import MLPClassifier + from sklearn.preprocessing import MultiLabelBinarizer, LabelBinarizer + data = list() labels_tags = list() labels_correspondent = list() @@ -265,6 +265,8 @@ class DocumentClassifier(object): return None def predict_tags(self, content): + from sklearn.utils.multiclass import type_of_target + if self.tags_classifier: X = self.data_vectorizer.transform([preprocess_content(content)]) y = self.tags_classifier.predict(X) diff --git a/src/documents/tests/data/model.pickle b/src/documents/tests/data/model.pickle new file mode 100644 index 0000000000000000000000000000000000000000..db303ec807671383449aa8ac83a427d814a5ca2f GIT binary patch literal 156345 zcmcG#c|29^_cxBrWJ-hvQcrAWq%nUgUyAq|Ff3~|Uj&+|O9j^mgK(IBFd 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