Explainable AI Tooling (XAI). XAI is used to discover and explain a model's prediction in a way that is interpretable to the user. Relevant information in the dataset, feature-set, and model's algorithms are exposed.
APACHE-2.0 License
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Published by ashahba about 2 months ago
Intel® Explainable AI Tools is only supported on Linux
https://intel.github.io/intel-xai-tools/v1.1.0/
Published by daniel-de-leon-user293 6 months ago
Published by ashahba about 1 year ago
Published by ashahba over 1 year ago
PartitionExplainer()
in AI Kit environment against basic Python environment.visualize
methodsPublished by ashahba over 1 year ago
Python 3.10
Published by ashahba over 1 year ago
Explainers:
Published by ashahba almost 2 years ago
Model Card Generator:
Explainer:
Model Card Generator:
Explainer:
Intel® Explainable AI Tools v0.2.0 is validated on the following environment:
Published by ashahba over 2 years ago
- TensorFlow
Allows users to create interactive HTML reports of containing model performance and fairness metrics.
Supports general model overview plots visualize performance as a function of threshold score.
Supports interactive plots to visualize fairness metrics across data groupings.
Intel® Explainable AI Tools v0.0.1 is validated on the following environment: