-
Notifications
You must be signed in to change notification settings - Fork 654
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
[timeseries] add probability distribution support for timeseries #2025
Conversation
Codecov ReportBase: 72.08% // Head: 69.66% // Decreases project coverage by
Additional details and impacted files@@ Coverage Diff @@
## master #2025 +/- ##
============================================
- Coverage 72.08% 69.66% -2.43%
- Complexity 5126 5957 +831
============================================
Files 473 596 +123
Lines 21970 26468 +4498
Branches 2351 2877 +526
============================================
+ Hits 15838 18440 +2602
- Misses 4925 6643 +1718
- Partials 1207 1385 +178
Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here. ☔ View full report at Codecov. |
extensions/timeseries/src/main/java/ai/djl/timeseries/distribution/output/StudentTOutput.java
Outdated
Show resolved
Hide resolved
...s/timeseries/src/main/java/ai/djl/timeseries/distribution/output/NegativeBinomialOutput.java
Outdated
Show resolved
Hide resolved
extensions/timeseries/src/main/java/ai/djl/timeseries/distribution/output/ArgProj.java
Outdated
Show resolved
Hide resolved
…tion/output/StudentTOutput.java
…tion/output/NegativeBinomialOutput.java
…tion/output/ArgProj.java
Description
The distribution package provides the DJL implementations of distribution in mxnet and pytorch. It contains parameterizable probability distributions and sampling functions, which allows the construction of probability prediction. This package generally follows the design of the gluonts package.