Skip to content
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

fix kmeans.v #199

Merged
merged 2 commits into from
Feb 21, 2024
Merged

fix kmeans.v #199

merged 2 commits into from
Feb 21, 2024

Conversation

yuyi98
Copy link
Member

@yuyi98 yuyi98 commented Feb 21, 2024

This PR fix kmeans.v.

Summary by CodeRabbit

  • Refactor
    • Improved internal data handling for enhanced performance and reliability.
    • Marked the bins variable as mutable for increased flexibility.

Copy link

coderabbitai bot commented Feb 21, 2024

Walkthrough

This update focuses on a subtle yet significant modification within the machine learning module, specifically targeting the K-means algorithm implementation. The essence of the change is to enhance the flexibility of the bins variable within the algorithm's codebase by marking it as mutable. This adjustment allows for dynamic updates to the bins variable, facilitating more adaptable and responsive behavior in the K-means clustering process.

Changes

File Change Summary
ml/kmeans.v Marked the bins variable as mutable by adding mut to its declaration

🐇✨
In the realm of code where logic intertwines,
A rabbit hopped through the lines of signs.
With a flick and a tweak, it made a change,
Allowing bins to grow and rearrange.
Now clusters can shift, adapt, and dance,
In the ever-evolving world of machine learning's expanse.
🌟🐾

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

Share

Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>.
    • Generate unit-tests for this file.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    • @coderabbitai generate unit tests for this file.
    • @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai generate interesting stats about this repository from git and render them as a table.
    • @coderabbitai show all the console.log statements in this repository.
    • @coderabbitai read src/utils.ts and generate unit tests.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (invoked as PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger a review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai help to get help.

Additionally, you can add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.

CodeRabbit Configration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • The JSON schema for the configuration file is available here.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/coderabbit-overrides.v2.json

CodeRabbit Discord Community

Join our Discord Community to get help, request features, and share feedback.

Copy link

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Review Status

Actionable comments generated: 1

Configuration used: CodeRabbit UI

Commits Files that changed from the base of the PR and between dd16294 and 096c648.
Files selected for processing (1)
  • ml/kmeans.v (1 hunks)
Additional comments: 1
ml/kmeans.v (1)
  • 35-35: Given the addition of mutability to the bins variable, it's essential to review all usages of bins throughout the Kmeans class to ensure that changes to bins are handled correctly. This includes checking for potential issues where the mutable state of bins could lead to incorrect behavior or performance bottlenecks. For example, the update method appends data to bins, which is appropriate, but ensure that this operation is efficient and does not introduce unnecessary overhead, especially with large datasets.

ml/kmeans.v Outdated
@@ -32,7 +32,7 @@ pub fn new_kmeans(mut data Data[f64], nb_classes int, name string) &Kmeans {

// bins
ndiv := [10, 10] // TODO: make this a parameter
bins := gm.new_bins(stat.min_x, stat.max_x, ndiv) // TODO: make sure minx and maxx are 2D or 3D; i.e. nb_features ≤ 2
mut bins := gm.new_bins(stat.min_x, stat.max_x, ndiv) // TODO: make sure minx and maxx are 2D or 3D; i.e. nb_features ≤ 2
Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

The change to make the bins variable mutable by declaring it with mut is crucial for the dynamic nature of the k-means algorithm. This allows the bins to be updated as the algorithm iterates, which is necessary for accurately clustering data points. However, it's important to ensure that the mutability of bins is handled carefully to avoid unintended side effects or data races, especially in a concurrent context. If the k-means algorithm is intended to be used in a concurrent environment, consider adding safeguards or documentation to prevent data race conditions.

Copy link

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Review Status

Actionable comments generated: 0

Configuration used: CodeRabbit UI

Commits Files that changed from the base of the PR and between 096c648 and 3fbdff5.
Files selected for processing (1)
  • ml/kmeans.v (1 hunks)
Files skipped from review as they are similar to previous changes (1)
  • ml/kmeans.v

@yuyi98 yuyi98 merged commit 89dda60 into vlang:main Feb 21, 2024
6 of 9 checks passed
@yuyi98 yuyi98 deleted the fix_ml_kmeans branch February 21, 2024 15:10
ulises-jeremias added a commit that referenced this pull request Feb 25, 2024
* 'main' of github.com:vlang/vsl:
  fix kmeans.v (#199)
  Update maximum dimension checks in HDF5 file functions
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant