Seldon releases Alibi Explain 0.9.0
We are pleased to announce the release of Alibi Explain v0.9.0, featuring support for global feature importance calculation using two complementary methods—Permutation […]
Alibi Explain v0.8.0: Introducing Partial Dependence plots for global explainability of any model
We are delighted to announce the release of Alibi Explain v0.8.0, featuring support for Partial Dependence plots, enabling global explainability of any […]
Alibi Explain v0.7.0: Introducing similarity explanations and dataset summarization with prototypes
We are delighted to announce the release of Alibi Explain v0.7.0 featuring a new explanation technique and a method for summarising datasets […]
Explainability in Machine Learning
Machine learning is becoming an integral part in how the modern world functions. The collection of data has increased exponentially alongside advances in […]
Alibi Explain v0.6.1 Released: Counterfactual Explanations for Any Model
We’ve released Alibi Explain v0.6.1 which features an integration of our research paper Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning. The […]
Alibi Detect 0.5.0 and Alibi Explain 0.5.6 Released
We are pleased to announce a new release of Alibi Detect featuring new drift detection capabilities. The new 0.5.0 release includes three […]
Seldon releases Alibi Explain 0.5.0
The Seldon data science team are delighted to announce the release of v0.5.0 of Alibi Explain with three new techniques for explaining […]
Seldon adds SHAP to the Alibi explainable AI library
One of the biggest blockers to leveraging neural networks across industries is that modern machine learning models are an algorithmic “black box”. […]