Exploratory Data Analysis Tools

This section contains a high-level overview and showcases for exploratory data analysis tools.

Automated Dataset Overview

Tool to get a high-level understanding of datasets including basic statistical information and feature information.

Automated Target Variable Analysis

Automatically analyze and summarize the variable we are trying to predict and it’s relationship with other variables.

Quick Model Fit

Automatically analyze and summarize the variable we are trying to predict and it’s relationship with other variables.

Covariate Shift Detection

Identify situations where the distribution of features in a dataset changes between the training and testing phases, which can lead to biased model performance.

Feature Interaction Charts

Simple visualization tool to visualize 1/2/3-way relationships between features. The tool automatically picks a chart type given each property type.

Main API Reference

The section contains a reference of base constructs and composite components.

Auto: High-level Composite Components

Reference for high-level composite components.

Base APIs

Components building blocks APIs.

Low-level components API reference

The section contains a reference for low-level components.

autogluon.eda.dataset

Dataset-level APIs

autogluon.eda.interaction

Feature-level interactions APIs

autogluon.eda.missing

Missing data APIs

autogluon.eda.model

Model level APIs

autogluon.eda.shift

Distribution shift APIs

autogluon.eda.transform

Transformations APIs