Explainability & Interpretability Toolkit

Understand and visualize how your ML models make decisions with built-in XAI tools.

Explainability & Interpretability Toolkit

Key Features

Our Explainability & Interpretability Toolkit makes a difference in your ML workflow.

Feature 1

Understand and visualize how your ML models make decisions with built-in XAI tools.

Feature 2

Understand and visualize how your ML models make decisions with built-in XAI tools.

Feature 3

Understand and visualize how your ML models make decisions with built-in XAI tools.

Use Cases

See how our Explainability & Interpretability Toolkit helps teams across different industries.

Model Debugging

Our Explainability & Interpretability Toolkit provides powerful capabilities for model debugging scenarios, helping teams achieve better results faster.

Regulatory Compliance

Our Explainability & Interpretability Toolkit provides powerful capabilities for regulatory compliance scenarios, helping teams achieve better results faster.

Trust Building with Stakeholders

Our Explainability & Interpretability Toolkit provides powerful capabilities for trust building with stakeholders scenarios, helping teams achieve better results faster.

How It Works

Our Explainability & Interpretability Toolkit makes complex ML workflows simple and effective.

1

Select Model for Analysis

Choose from deployed or in-progress models for interpretability evaluation.

Select Model for Analysis
2

Run Explainability Analysis

Use SHAP, LIME, and integrated saliency maps to visualize model behavior and feature importance.

Run Explainability Analysis
3

Validate Model Fairness

Check for bias and fairness issues across different groups and improve model accountability.

Validate Model Fairness
4

Generate Explainability Reports

Produce stakeholder-friendly visual reports with clear explanations and model insights.

Generate Explainability Reports

Key Benefits

Why our Explainability & Interpretability Toolkit makes a difference.

Improve trust and transparency in ML models

Meet regulatory requirements effortlessly

Identify and mitigate bias early

Communicate results effectively with non-technical stakeholders

Integrates seamlessly with existing ML workflows

Supports SHAP, LIME, and other XAI tools out of the box

Interactive visualizations for deeper insights

Auto-generated interpretability documentation

Ready to get started?

Try our Explainability & Interpretability Toolkit and transform your ML workflow today.

Explore Related Solutions

Discover other FrankyML capabilities that work seamlessly with Explainability & Interpretability Toolkit.

EDA Pipeline Builder

Perform deep exploratory data analysis with a drag-and-drop interface.

Workflow Automation & Builder

Create, visualize, and version your end-to-end workflows using Kubeflow.