Skip to main content

Post-analysis plugin / Model Explorer

Machine Learning Inference Advisor (MLIA)

Put results in context.

Explore model structure alongside MLIA analysis overlays in a standalone HTML visualization.

Get startedBrowse documentation
View on GitHub (opens in a new tab)

Post-analysis plugin

Work with Model Explorer.

01

Create a visualization

Generate files or open an interactive local view.

Read the guide 02

Check model support

Review adapters, source-identity mapping, and limitations.

Read the guide 03

Explore the artifacts

Understand the generated graph, overlays, and HTML bundle.

Read the guide

Part of MLIA

Create your first visualization.

Choose a supported model format, install the required adapter, and generate a standalone HTML view from your MLIA analysis.

Generate a visualizationCheck model support

Understand the view

Read your model and results together.

Understand the graph, analysis overlays, and generated artifacts. Use the API when you want to integrate visualization into your own workflow.

Understand the outputFollow the execution flowUse the Python API

Documentation

Explore all guides.

High-level ArchitecturePython APIETRecord profiling viewsUsageArtifactsPlugin IntegrationEnd-to-end Execution FlowOverviewDevelopmentModel Adapters

Under the hood

Explore the implementation.

Find integration details and contributor guidance.

Development