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@tdhock this is the outline of my new paper, can you give me some feedbacks
# Learning Penalty Parameters for Optimal Partitioning via Automatic Feature Extraction
## Abstract
Changepoint detec…
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### Feature Summary
I'd like to contribute to FinVeda by implementing a machine learning module that can predict financial trends, stock prices, and customer behavior. This module will leverage popul…
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### Checklist
- [x] I've read the [contribution guidelines](https://github.com/autowarefoundation/autoware/blob/main/CONTRIBUTING.md).
- [x] I've searched other issues and no duplicate issues were fo…
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### Missing functionality
# Addition of statistical testing if the data follows normal distribution or not
Statistical testing is used to check whether a given dataset follows a normal distribution …
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# Analytic Gaussian Process Analysis Framework
1. Kernel Representation Module
- Implement your exact form of the kernel for the Hardy Z-function
- Generalize to handle other analytic kerne…
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# Off-Piste Data Update - Varying Analysis Methods for Long Time History Sites | Dakota’s Research Blog
From our meeting earlier today, we wanted a better way to look at the effects of varying summer…
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Hey all,
First - I love the package. I teach it in my R course. Thanks for making such a useful package.
Would it be possible to implement an effect ordering option for plotting ggpredict objec…
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Hi,
Thanks for the great package. I'm trying to use cellphone db v5 to find a connection in my dataset. I'm using this code with the dataset that I provided in the link below. I'm getting "No Cellp…
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**An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)**
**An Introduction to Statistical Learning** provides an accessible overview of the field of statis…
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## Overview
The purpose of this issue/document is two-fold:
- to summarize the regressions analyses of the project in a **textual form**
- to summarize the results of these regression analyses in …