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View Code? Open in Web Editor NEWA JVM implementation of the Pair Adjacent Violators algorithm for isotonic regression
A JVM implementation of the Pair Adjacent Violators algorithm for isotonic regression
I want to suggest use JMH for benchmarking. It's a lot better, because JMH knows a lot about JVM, and properly warm up code, etc.
Maybe this video is good start.
I can help with project configuration and maybe with rewriting current benchmark to JMH.
Hi!
Looks like you committed few directories like:
.idea
build
.gradle
which useless for project users and auto-generated by ide or build tool. I suggest clean up this.
Hello,
i'm using version 1.2.1 and jdk8.
The code in gist throws java.io.NotSerializableException: com.github.sanity.pav.PairAdjacentViolators.
Is it ok/hard to fix?
No real reason for this to depend on jdk8, it should be easy enough to remove these dependencies.
Currently, the interpolation is assumed to be flat for any point below the lowest x control point or above the highest x control point.
A better approach might be to extrapolation based on the first two or last two control points.
Hello there!
My name is Ana. I noted that you use the mutation testing tool in the project.
I am a postdoctoral researcher at the University of Seville (Spain), and my colleagues and I are studying how mutation testing tools are used in practice. With this aim in mind, we have analysed over 3,500 public GitHub repositories using mutation testing tools, including yours! This work has recently been published in a journal paper available at https://link.springer.com/content/pdf/10.1007/s10664-022-10177-8.pdf.
To complete this study, we are asking for your help to understand better how mutation testing is used in practice, please! We would be extremely grateful if you could contribute to this study by answering a brief survey of 21 simple questions (no more than 6 minutes). This is the link to the questionnaire https://forms.gle/FvXNrimWAsJYC1zB9.
Drop me an e-mail if you have any questions or comments ([email protected]). Thank you very much in advance!!
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