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update labeling

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Anne Lorenz 2019-01-15 10:37:07 +01:00
parent 035583584f
commit 6471a81196
3 changed files with 25576 additions and 773 deletions
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10001
data/interactive_labeling_round_30.csv Normal file
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16299
src/2019-01-09-al-interactive-labeling.ipynb
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5
src/MNBInteractive.py
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@ -32,6 +32,7 @@ class MNBInteractive:
# split unlabeled data into text and label set
# join title and text
U = unlabeled_data['Title'] + '. ' + unlabeled_data['Text']
l = unlabeled_data['Label']
if sklearn_cv:
cv = CountVectorizer()
@ -87,13 +88,11 @@ class MNBInteractive:
# number of samples encountered for each class during fitting
# this value is weighted by the sample weight when provided
# class_count = classifier.class_count_
class_count = classifier.class_count_
# classes in order used
classes = classifier.classes_
class_count = classifier.class_count_
print('# MNB: ending multinomial naive bayes')
# return classes and vector of class estimates