-
**Describe the solution you'd like**
Would love to have an Effect Plot for aiding with interpreting linear models. I realize that a feature importance plot does some of this. An effect plot shows the…
-
[https://peekaboo-vision.blogspot.com/2013/01/machine-learning-cheat-sheet-for-scikit.html](url)
https://scikit-learn.org/dev/tutorial/machine_learning_map/index.html#ml-map
![image](https://use…
-
I'm trying to visualize a decision tree. The interpretable ML book has a nice visualization for it:
```R
library("partykit")
set.seed(42)
n = 100
dat_sim = data.frame(feature_x1 = rep(c(3,3,4,4…
-
https://github.com/openjournals/joss-reviews/issues/3934 Hi, I hope these comments help in improving the paper.
**Comments**
1. The paper's title could see a change. It says "PySS3: A new interpre…
-
**General Interpretability:**
- [interpretable ml book](https://christophm.github.io/interpretable-ml-book/shapley.html), specifically sections on `learned features`, `Shapley values`, `Influential I…
-
Hello! I am interested in translating the book into Thai language.
To my best knowledge, the way that the project were structured makes it difficult to combine my future translation into the same r…
-
## Rubric Score
### Criteria 1: Valid Python Code
* _Score Level:_ 4/4
* _Comment(s):_ Code included runs without any errors.
Note: Try using the .copy() method to avoid the SettingWithCopyWa…
-
Random links I have visited:
https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464
https://medium.com/@andrewtch/diy-ai-the-series-597e82131cb2
-
-
Dear author:
I am a second-year graduate student in the School of Biology, South China University of Technology, Guangzhou. I read your paper "ML-DTI: Mutual Learning Mechanism for Interpretable…