PyCM
Machine learning post-processing and analysis
PyCM is an open-source Python library designed to systematically evaluate, quantify, and report the performance of machine learning algorithms. It offers an extensive range of metrics to assess algorithm performance comprehensively, enabling users to compare different models and identify the optimal one based on their specific requirements and priorities. Additionally, PyCM supports generating evaluation reports in various formats. Widely recognized as a standard and reliable post-processing tool, PyCM has been adopted by leading open-source AI projects, including TensorFlow, Google’s scaaml, Torchbearer, and CLaF. In this grant, the team will implement several new features, such as data distribution analysis, dissimilarity / distance matrices and curve analysis. In addition the project will improve benchmarking and confidence, and introduce an API and GUI for wider adoption.
- The project's own website: https://github.com/sepandhaghighi/pycm
This project was funded through the NGI0 Commons Fund, a fund established by NLnet with financial support from the European Commission's Next Generation Internet programme, under the aegis of DG Communications Networks, Content and Technology under grant agreement No 101135429. Additional funding is made available by the Swiss State Secretariat for Education, Research and Innovation (SERI).
