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Implementation of Randrom Forest #11

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5 tasks done
Samyssmile opened this issue Sep 20, 2023 · 0 comments
Closed
5 tasks done

Implementation of Randrom Forest #11

Samyssmile opened this issue Sep 20, 2023 · 0 comments
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help wanted Extra attention is needed New Feature

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@Samyssmile
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Samyssmile commented Sep 20, 2023

Goal

We currently lack an implementation for the Random Forest algorithm. This algorithm is a fundamental component of modern machine learning techniques and has been in demand by many users. The objective of this ticket is to implement the Random Forest algorithm in Java for our ML Library.

https://en.wikipedia.org/wiki/Random_forest

Acceptance Criteria:

  • - The Random Forest algorithm must be implemented in pure Java without any external dependencies.
  • - The algorithm should support both classification and regression functionalities.
  • - The algorithm must be compatible with our existing data structures.
  • - Unit tests must ensure the correct operation of the algorithm.
  • - The implementation needs to be performant and scalable, capable of handling larger datasets effectively.
@Samyssmile Samyssmile added help wanted Extra attention is needed New Feature labels Sep 20, 2023
@Samyssmile Samyssmile self-assigned this Oct 6, 2023
Samyssmile added a commit that referenced this issue Oct 6, 2023
feature(#11): Implementation of Randrom Forest #11
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