A convenient library to fast prototype text classification projects ready to deploy!
datasciencecampus / ace2 Goto Github PK
View Code? Open in Web Editor NEWA text classification app
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create pipeline_deploy
so we trained and tested the model. We want to deploy. This is what we ship to stakeholder along with pipeline_text and pipeline_feature
test pipeline_feature
similar tests to text
also call features pipeline and assert if num features is expected
text module tests
test ideas:
- test config method. Is the file landing on the right place?
- Test pipeline: is the output on the right place? test for each pipeline method. Is the output expected?
text module refactor
refactor pipeline_text
- stopwords will be read from text files now. Stopwords_uni and stopwords_n
- Think how a case with two text columns is going to work
new design
a proforma of the new code design
pipeline_text for multiple columns
text pipeline step: remove punctuation
refactor pipeline ml
set up CI
refactor pipeline_compare
refactor pipeline_feature
multiple text columns in mind
text pipeline step: lowercase text
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