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📝 WalkthroughSummary by CodeRabbit
WalkthroughThe README.md file was substantially expanded to introduce the project as "nvForest - Highly Optimized Decision Tree Inference" with comprehensive documentation including usage examples, supported models, inference modes, performance tuning options, and sections on installation, building, contributing, and contact information. Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~5 minutes Tip Try Coding Plans. Let us write the prompt for your AI agent so you can ship faster (with fewer bugs). Note 🎁 Summarized by CodeRabbit FreeYour organization is on the Free plan. CodeRabbit will generate a high-level summary and a walkthrough for each pull request. For a comprehensive line-by-line review, please upgrade your subscription to CodeRabbit Pro by visiting https://app.coderabbit.ai/login. Comment |
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| ## Installation | ||
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| See [the RAPIDS Release Selector](https://docs.rapids.ai/install#selector) for the command line to install either nightly or official release nvForest packages via conda, pip, or Docker. |
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Do we have a PR open to add this to the install selector or is this something we are planning to do?
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We still need a PR for that, I can create that.
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| ## Contact | ||
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| Find out more on the [RAPIDS site](https://rapids.ai/community.html). |
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| Find out more on the [RAPIDS site](https://rapids.ai/community.html). | |
| For bug reports or feature requests, please [file an issue](https://github.com/rapidsai/nvforest/issues/new) on GitHub. | |
| For questions or discussion about nvForest or tree model inference, reach out in the [RAPIDS Slack](https://rapids.ai/slack-invite) workspace.``` |
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I think some of the content on that webpage is outdated so suggested this, but feel free to modify.
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Should we maybe push to modernize https://rapids.ai/community.html instead ?
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/merge |
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