1
Install H2O AutoML
Use pip or conda to install the H2O Python package or download the R package.
2
Prepare Your Dataset
Format your data into a supported structure (CSV, H2OFrame) and clean missing values.
3
Initialize H2O Cluster
Start an H2O cluster locally or connect to a remote cluster for distributed training.
4
Run AutoML
Call the AutoML function with your dataset and specify parameters like max runtime or max models.
5
Evaluate and Deploy
Review leaderboard models, interpret results, and export the best model for deployment.