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Add the MA causal experimental component inside the Juypter binding #88
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#### Summary | Related Issue(s) Scaffolding the MA causal project described in [this issue](#71) #### Changes Added the `bindings/jupyter-modules/jupyter-ma-causal` experimental module, allow it to be used inside Jupyter as such ![image](https://user-images.githubusercontent.com/7333962/69565131-2b42c400-0f69-11ea-93d0-f4db7035c46b.png) The line chart draws the two curves representing different uplift effect, with the x axis being the percentile of users ranked according to their likelihood of being influenced by the treatment, and the y axis being the magnitude of the uplift effect scaled between 0 to 1. The slider will be able to control the percentile of users and the uplift effect corresponding the percentile will be highlighted accordingly.
…bal line indicator (#74)
* adjust right padding to make space for the right most label in the x axis * auto adjust width and height
* add treatment and control bars * Addressing the review comments
* add treatment and control bars * add label for the line indicator * Addressing the review comments
* add treatment and control bars * add label for the line indicator * clean up unused vars * Addressing the review comments
* remove the scaling hack * ma-causal-dev-1
* remove the scaling hack * ma-causal-dev-1 * split the multi line charts to separate charts * update slidebar and static bar
* remove the scaling hack * ma-causal-dev-1 * split the multi line charts to separate charts * update slidebar and static bar * use 2 decimal for the bar label
gnavvy
approved these changes
Dec 13, 2019
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Summary | Related Issue(s)
Add the MA causal experimental component inside the Jupyter binding (#71)
Changes
MACausal
componentbindings/jupyter-modules/jupyter-ma-causal
Checklist
[ ] I have added tests to cover my changes (for features and bug fixes).[ ] I have updated the documentation and changelogs accordingly.