An experiment framework for Root Cause Analysis
Project description
rcabench-platform
An experiment framework for Root Cause Analysis (RCA), supporting fast development of RCA algorithms and their evaluation on various datasets.
Installation
To add this package to another uv-managed project:
# Install basic package
uv add rcabench-platform
# Install with dataset analysis functionality
uv add "rcabench-platform[analysis]"
The analysis extra includes additional dependencies like graphviz and matplotlib needed for the dataset analysis features.
Documentation
- Development Guide: How to set up the development environment and contribute to this project.
- Specifications: Our design details about RCA algorithms and data formats.
- Workflow References: How to use the functionalities of this project.
- Maintenance: Guidelines for maintaining the project and release procedures.
Related Projects
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file rcabench_platform-0.3.2.tar.gz.
File metadata
- Download URL: rcabench_platform-0.3.2.tar.gz
- Upload date:
- Size: 50.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: uv/0.7.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
35adbb62d220823080d0f6a0c0fb53e3d0fbe67bfbaafe040035b30cc0dccfee
|
|
| MD5 |
5fc6158ab446a22e16f92400b9758d11
|
|
| BLAKE2b-256 |
760a45f1d6143caaf3dcd1998e7b6a325f33026a07716a903f8bf2ee33651d3d
|
File details
Details for the file rcabench_platform-0.3.2-py3-none-any.whl.
File metadata
- Download URL: rcabench_platform-0.3.2-py3-none-any.whl
- Upload date:
- Size: 74.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: uv/0.7.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d20a3fb8057d7f0dae2990fa216ffabbca7e9b5658c9111ddb8f576299f20481
|
|
| MD5 |
f4bc9e9240cf61a7bc959a59bd2e5144
|
|
| BLAKE2b-256 |
b207c7b2de082b2ed74d4023de41f997367ab1a293ff222775a2ac759118d73b
|
