-
Notifications
You must be signed in to change notification settings - Fork 6
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Prediction intervals example noteook #189
Conversation
Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
🚀 Deployed on https://deploy-preview-189--etna-docs.netlify.app |
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## master #189 +/- ##
=======================================
Coverage 89.29% 89.29%
=======================================
Files 198 198
Lines 12866 12866
=======================================
Hits 11489 11489
Misses 1377 1377 ☔ View full report in Codecov by Sentry. |
@@ -15,7 +15,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 | |||
- `ConformalPredictionIntervals` method for prediction intervals estimation ([#152](https://github.com/etna-team/etna/pull/152)) | |||
- Add DeepARNativeModel ([#114](https://github.com/etna-team/etna/pull/114)) | |||
- `EmpiricalPredictionIntervals` method for prediction intervals estimation ([#173](https://github.com/etna-team/etna/pull/173)) | |||
- | |||
- Prediction intervals tutorial notebook ([#189](https://github.com/etna-team/etna/pull/189)) |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
We should also prepare this notebook for a tutorials documentation page. See changelog with title "Adding a new jupyter notebook tutorial".
View / edit / reply to this conversation on ReviewNB d-a-bunin commented on 2023-12-13T10:29:50Z 1). We should probably describe what prediction interval is and may be there to read about it.
2). We should provide a distinction between model-specific methods that are implemented in our models and model-agnostic methods which are implemented separately.
3). I don't think that current description is clear enough with this quantiles vs. arbitrary borders. |
View / edit / reply to this conversation on ReviewNB d-a-bunin commented on 2023-12-13T10:29:51Z Line #2. forecast This produces a very big output. Could we for example, make it smaller by using |
View / edit / reply to this conversation on ReviewNB d-a-bunin commented on 2023-12-13T10:29:52Z May be it is better to say "in the dataset with forecast"?
|
View / edit / reply to this conversation on ReviewNB d-a-bunin commented on 2023-12-13T10:29:53Z I don't think the second sentence is necessary and could be removed. |
View / edit / reply to this conversation on ReviewNB d-a-bunin commented on 2023-12-13T10:29:53Z There are should be no intervals in the dataset
It doesn't look good. Try using https://www.deepl.com/write
Interval border sets should match for all the segments. I don't understand what it means.
|
View / edit / reply to this conversation on ReviewNB d-a-bunin commented on 2023-12-13T10:29:54Z This method estimate estimates |
View / edit / reply to this conversation on ReviewNB d-a-bunin commented on 2023-12-13T10:29:55Z ConstantWidthInterval isn't rendered well here at reviewnb. |
View / edit / reply to this conversation on ReviewNB d-a-bunin commented on 2023-12-13T10:29:56Z Why don't we have any conclusion? |
Before submitting (must do checklist)
Proposed Changes
Closing issues
closes #170