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Modify ENN for self-training #83

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dpuenteramirez opened this issue Jan 26, 2022 · 0 comments · Fixed by #88
Closed

Modify ENN for self-training #83

dpuenteramirez opened this issue Jan 26, 2022 · 0 comments · Fixed by #88
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enhancement New feature or request good first issue Good for newcomers hypothesis tryouts Validate a hypothesis
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Sprint 7

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The modification that is needed requieres to create a new version of the ENN algorithm in order to support instance removal from a given set that it's been recovered after using self-training, therefore it will only remove the new instances added,not the original ones.
@dpuenteramirez dpuenteramirez added enhancement New feature or request good first issue Good for newcomers hypothesis tryouts Validate a hypothesis labels Jan 26, 2022
@dpuenteramirez dpuenteramirez added this to the Sprint 7 milestone Jan 26, 2022
@dpuenteramirez dpuenteramirez self-assigned this Jan 26, 2022
dpuenteramirez added a commit that referenced this issue Jan 26, 2022
@dpuenteramirez
Added M-ENN #83
7eebdb1 
This version of ENN allows the user to pass up to two datasets and decide wether it should delete the content from one if it's present in the other one, or not.
This was referenced Jan 26, 2022
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dpuenteramirez added a commit that referenced this issue Jan 26, 2022
@dpuenteramirez
Merge pull request #88 from dpr1005/development
15d4814 
Added support for M-ENN #83 #87
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enhancement New feature or request good first issue Good for newcomers hypothesis tryouts Validate a hypothesis
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Sprint 7
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@dpuenteramirez