68
GitHub - SeldonIO/alibi: Algorithms for monitoring and explaining machine learni...
source link: https://github.com/SeldonIO/alibi
Go to the source link to view the article. You can view the picture content, updated content and better typesetting reading experience. If the link is broken, please click the button below to view the snapshot at that time.
README.md
Alibi is an open source Python library aimed at machine learning model inspection and interpretation. The initial focus on the library is on black-box, instance based model explanations.
Goals
- Provide high quality reference implementations of black-box ML model explanation algorithms
- Define a consistent API for interpretable ML methods
- Support multiple use cases (e.g. tabular, text and image data classification, regression)
- Implement the latest model explanation, concept drift, algorithmic bias detection and other ML model monitoring and interpretation methods
Installation
Alibi can be installed from PyPI:
pip install alibi
Examples
Anchor method applied to the InceptionV3 model trained on ImageNet:
Prediction: Persian Cat Anchor explanation
Contrastive Explanation method applied to a CNN trained on MNIST:
Prediction: 4 Pertinent Negative: 9 Pertinent Positive: 4
Trust scores applied to a softmax classifier trained on MNIST:
Recommend
About Joyk
Aggregate valuable and interesting links.
Joyk means Joy of geeK