Implementation:Interpretml Interpret Show

Field	Value
Sources	InterpretML
Domains	Visualization, User_Interface
Last Updated	2026-02-07 12:00 GMT

Overview

Show is a concrete tool for rendering interactive explanation visualizations provided by the InterpretML library.

Description

The show function is the primary entry point for visualizing model explanations. It accepts one or more Explanation objects and a key selector, delegates to the auto-detected visualization provider, and renders interactive charts. With key=-1 it shows the overall summary; with key=N it shows the Nth term/sample.

Usage

Call show() whenever you want to visualize an explanation in a Jupyter notebook or browser.

Code Reference

Source Location

Repository: interpretml/interpret
File: python/interpret-core/interpret/visual/_interactive.py
Lines: 136--160

Signature

def show(explanation, key=-1, **kwargs):
    """Provides an interactive visualization for a given explanation(s).
    Args:
        explanation: Either a scalar Explanation or list of Explanations.
        key: Specific index of explanation to visualize. -1 for overall.
        **kwargs: Kwargs passed to provider's render() call.
    """

Import

from interpret import show

I/O Contract

Inputs

Name	Type	Required	Description
`explanation`	Explanation or list[Explanation]	Yes	One or more Explanation objects to visualize
`key`	int	No	Specific index of explanation to visualize; -1 for overall (default: -1)
`**kwargs`	keyword arguments	No	Kwargs passed to provider's render() call

Outputs

Name	Type	Description
None	None	Side effect: renders visualization in notebook or browser

Usage Examples

Global and Local Visualization

from interpret.glassbox import ExplainableBoostingClassifier
from interpret import show

ebm = ExplainableBoostingClassifier()
ebm.fit(X_train, y_train)

# Global explanation
global_exp = ebm.explain_global()
show(global_exp)          # Overall importance
show(global_exp, key=0)   # First feature shape

# Local explanation
local_exp = ebm.explain_local(X_test[:5], y_test[:5])
show(local_exp, key=0)    # First sample explanation

# Compare multiple explanations
show([global_exp, local_exp])

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