Comments (2)
Hi, thanks for your interest!
I think the gap is too large.
I have run the pretrained model today and got 0.234 CRPS.
One of possible reasons is the number of samples. To reproduce the result, you should set "nsample = 100". Did you set nsample = 100?
Another possible reason is the difference in environments such as the version of packages.
from csdi.
Thanks your help, I set "nsample=100", the results in the paper can be achieved!
from csdi.
Related Issues (13)
- No “featureemb” in Config.json HOT 1
- The google drive link is broken HOT 1
- error in forecasting code. HOT 6
- Hi HOT 1
- Explanation of forecasting work
- DEformer-like model achieves 0.216 MAE on 10% missing healthcare dataset HOT 2
- Implementation of CSDI for time series forecasting HOT 4
- The question of CRPS metric HOT 1
- Time series Forecasting example with test pattern strategy HOT 2
- difference between deterministic imputation and interpolation HOT 1
- testing time HOT 2
- square root for the second coefficient HOT 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 csdi.