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Modify tfidf_transformer to enable custom vocabulary and approximate sublinear-tf scaling without sparse containers #777

Merged
merged 16 commits into from
Nov 15, 2021
Merged

Modify tfidf_transformer to enable custom vocabulary and approximate sublinear-tf scaling without sparse containers #777

merged 16 commits into from
Nov 15, 2021

Commits on Nov 12, 2021

  1. Extend one example in the documentation (WOE) 

    Signed-off-by: adam444555 <a473489548@gmail.com>
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  2. Add a function to update initializers in a ONNX model 

    Signed-off-by: adam444555 <a473489548@gmail.com>
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  3. Make opset 15 default (onnx#749) 

    * Make opset 15 default
* fix missing target opset in polynomial features

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  4. update manifest to exclude big files from sdist (onnx#759) 

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  5. Improve stability of one unit tests (onnx#760) 

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  6. modified for tfidfvectorizer 

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  7. modified for tfidfvectorizer 

    Signed-off-by: adam444555 <a473489548@gmail.com>
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  8. split into two conditions for opset < 11 or else 

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  9. Update tfidf_transformer.py 

    Signed-off-by: adam444555 <a473489548@gmail.com>
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  10. Update a training value in a failing pipeline used in a unit test (2) (… 

    …onnx#773)

* Update a training value in a failing pipeline used in a unit test
* upgrade version

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  11. Enable RandomForestClassifier in converter for CalibrationClassifierCV ( 

    onnx#772)

* Enable RandomForestClassifier in converter for CalibrationClassifierCV
* remove unused variable

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  12. Implements option zipmap for MultiOutputClassifier (onnx#775) 

    * Implements option zipmap for MultiOutputClassifier

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  13. Merge branch 'master' into master

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  14. Update text_vectoriser.py 

    fix code length

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Commits on Nov 15, 2021

  1. add unit test and format fix 

    Signed-off-by: adam444555 <a473489548@gmail.com>
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  2. Merge branch 'master' into master

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