Comments (2)
JoaoPBSousa
commented on May 16, 2024
Hello @jaeho3690 ,
1 - From what I can gather from your printscreen, it seems like TimeSHAP is not being able to calculate feature explanations on the method feat_explain_all. Just so I am aware of any changes, did you alter anything on the notebook or are you running it default? If you are running it default, could you please delete the pruning and event csv's or change their filenames in order to force TimeSHAP to calculate everything from scratch?
2- TimeSHAP explains one class/prediction at a time, so there is no restrictions of its application to the binary classification domain. If is possible to apply TimeSHAP to a multi-class problem but you need to explain the prediction of each class individually.
from timeshap.
JoaoPBSousa
commented on May 16, 2024
Closed this issue due to inactivity. If you have any further questions feel free to re-open the issue or create a new one.
from timeshap.
Related Issues (20)
- Array indexing with list of strings. HOT 1
- Doubts on provided notebook: dataset format, model configuration HOT 10
- TIMESHAP without pruning HOT 1
- Error ''Score difference between baseline and instance ... is too low < 0.1.'' HOT 2
- local_event report HOT 4
- How does TimeShap handle missing values (NA)? HOT 9
- global_explainer broken? HOT 1
- will it work for Tensorflow HOT 2
- Does the plot demonstrate that when my feature has a high value, the output either increases or decreases, or vice versa? HOT 2
- Can we wrap any other model than RNN like for transformer networks? HOT 2
- BlockRNN for regression
- Import Error: cannot import name 'Kernel' HOT 2
- Circular Importing in ARem_TF.ipynb
- UnicodeEncodeError: 'charmap' codec can't encode character '\u2264' in position 30: character maps to <undefined> HOT 1
- Is timeshap applicable to the DeepAR model of mxnet?
- Function to get expected value HOT 1
- Add LogitLink in timeshapkernel.
- outputs at all time steps?
- About part of input in the next step is the output of current step
- Lack support for shap > 0.42.1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from timeshap.