Implementing Linear Regression in Java and creating Machine Learning algorithms
I have created a Linear Regression, Machine Learning program in Java. This will work for one dependent (y) and one independent (x) variable and gets the data in Array list. The formula for linear regression is y = mx + c where m is the slope and c is the intercept. I would like to create more machine learning algorithms in Java and here starting with linear regression. Looking forward for contributing more this project.
- [x] I have read CONTRIBUTING.md.
- [x] This pull request is all my own work -- I have not plagiarized it.
- [x] All filenames are in PascalCase.
- [x] All functions and variable names follow Java naming conventions.
- [x] All new algorithms have a URL in their comments that points to Wikipedia or other similar explanations.
- [x] All new code is formatted with
clang-format -i --style=file path/to/your/file.java
Codecov Report
All modified and coverable lines are covered by tests :white_check_mark:
Project coverage is 73.45%. Comparing base (
03bb8ee) to head (fd339e7).
Additional details and impacted files
@@ Coverage Diff @@
## master #6045 +/- ##
============================================
+ Coverage 73.42% 73.45% +0.03%
- Complexity 5078 5086 +8
============================================
Files 656 657 +1
Lines 17617 17641 +24
Branches 3394 3396 +2
============================================
+ Hits 12936 12959 +23
Misses 4180 4180
- Partials 501 502 +1
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Can someone please help me with how to clang format my java code and correct the the build pull request
Clang formatter outputs suggested formatting here https://github.com/TheAlgorithms/Java/actions/runs/11548095568/job/32138967988?pr=6045
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