Exploratory Data Analysis Tools

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

Automated Dataset Overvieweda-auto-dataset-overview.html

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

Automated Target Variable Analysiseda-auto-target-analysis.html

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

Quick Model Fiteda-auto-quick-fit.html

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

Covariate Shift Detectioneda-auto-covariate-shift.html

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 chartseda-auto-analyze-interaction.html

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 componentsautogluon.eda.auto.html

Reference for high-level composite components.

Base APIsautogluon.eda.base-apis.html

Components building blocks APIs.

Low-level components API reference

The section contains a reference for low-level components.

autogluon.eda.datasetautogluon.eda.dataset.html

Dataset-level APIs

autogluon.eda.interactionautogluon.eda.interaction.html

Feature-level interactions APIs

autogluon.eda.missingautogluon.eda.missing.html

Missing data APIs

autogluon.eda.modelautogluon.eda.model.html

Model level APIs

autogluon.eda.shiftautogluon.eda.shift.html

Distribution shift APIs

autogluon.eda.transformautogluon.eda.transform.html

Transformations APIs