Timeline for Causal inference VS Active learning?
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
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| Dec 1, 2020 at 21:52 | vote | accept | john22 | ||
| Dec 1, 2020 at 16:27 | answer | added | Benoit Descamps | timeline score: 1 | |
| Dec 1, 2020 at 16:07 | comment | added | Benoit Descamps | then causal inference is what you need. I will write an answer below, we can continue there | |
| Dec 1, 2020 at 15:35 | comment | added | john22 | @BenoitDescamps Thanks for the response. I meant I'm not looking for the correlation of features. I want to see the effect of features sample "S-2" on the target value of "S" and so on. On the target values, features are affecting but no one has done the effect of sample features on points target. | |
| Dec 1, 2020 at 14:17 | comment | added | Benoit Descamps | Could do you explain with you mean with effect? Based on your current description, it looks more that you are trying to understand the feature weight instead.Shaply Values are better at this (see github.com/slundberg/shap) | |
| Dec 1, 2020 at 11:51 | history | edited | john22 | CC BY-SA 4.0 |
Explaining the situation of the problem
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| Nov 30, 2020 at 22:26 | review | First posts | |||
| Nov 30, 2020 at 22:38 | |||||
| Nov 30, 2020 at 22:26 | history | asked | john22 | CC BY-SA 4.0 |