pretty-print-confusion-matrix
pycm
Our great sponsors
| pretty-print-confusion-matrix | pycm | |
|---|---|---|
| 1 | 18 | |
| 507 | 1,429 | |
| - | - | |
| 0.0 | 5.0 | |
| over 1 year ago | 2 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pretty-print-confusion-matrix
-
Trying to understand an Index Error Message
I am attempting to use the pretty-print confusion-matrix library to create a confusion matrix.
pycm
- PyCM 4.0 Released: Multilabel Confusion Matrix Support
- PyCM 3.9 Released: Log-loss Support
- PyCM 3.8 Released: Distance/Similarity Support
-
[P] PyCM 3.7 released: ROC curve and Precision-Recall curve are added
The complete change log of this version is available here.
- PyCM 3.7 Released: ROC/PR Curve Support
- PyCM 3.6 released: Multi-class confusion matrix library in Python
- PyCM 3.5 released: Multi-class confusion matrix library in Python
- PyCM 3.4 released: Multi-class confusion matrix library in Python
- [P] PyCM 3.3 released: Comparison of Classifiers Based on Confusion Matrix
What are some alternatives?
magnitude - A fast, efficient universal vector embedding utility package.
seq2seq - A general-purpose encoder-decoder framework for Tensorflow
tslearn - The machine learning toolkit for time series analysis in Python
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
paramonte - ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022
modAL - A modular active learning framework for Python
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
igel - a delightful machine learning tool that allows you to train, test, and use models without writing code
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
ANN-decompiler - "AI" demystified: a decompiler