PyCM
Multi-class confusion matrix library in Python
About
PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and accurate evaluation of a large variety of classifiers.
Open Source Health
- Stars
- 1,506
- Forks
- 125
- License
- MIT
- Last commit
- 1 months ago
Related Categories
Vendor
Sepand Haghighi
Open Source Enthusiast
Quick Links
Open Source
Related Products
The Algorithm
Source code for the X Recommendation Algorithm
Shared categories
Recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Shared categories
RPG_KDD2025
This repository provides the code for implementing RPG described in our KDD'25 paper "Generating Long Semantic IDs in Parallel for Recommendation".
Shared categories
Pairec
A Go web framework for quickly building recommendation online services based on JSON configuration.
Shared categories
Textrank
TextRank implementation for Python 3.
Shared categories