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capability to change threshold during multi label classification #707

Merged
merged 1 commit into from
May 8, 2019
Merged

capability to change threshold during multi label classification #707

merged 1 commit into from
May 8, 2019

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ashutoshsingh0223
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@ashutoshsingh0223 ashutoshsingh0223 commented May 2, 2019 •
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Ability to set custom threshold level for multi-label classification problems while initialising the TextClassifier class. Default value is 0.5

Eg

text_classifier = TextClassifier(doc_embeddings,label_dictionary=label_dictionary, multi_label=True, multi_label_threshold=0.7 )

Any changes can be made later on just by changing this variable. For Eg.

classifier = TextClassifier.load_from_file("<model_path>")
classifier.multi_label_threshold = 0.65
classifier.predict(Sentence("<sentence>"))

@stefan-it stefan-it mentioned this pull request May 7, 2019
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@ashutoshsingh0223
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@stefan-it . Can you take a look??

@alanakbik
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@ashutoshsingh0223 thanks for adding this! And sorry it took so long to review.

@alanakbik
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👍

@stefan-it
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👍

@alanakbik alanakbik merged commit db96d22 into flairNLP:master May 8, 2019
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@stefan-it stefan-it stefan-it approved these changes

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@ashutoshsingh0223 @alanakbik @stefan-it