How it works...

Let's build a logistic regression interactively using the H2O browser.

1. Start a new flow, as shown in the following screenshot:

1. Import a dataset using the Data menu, as shown in the following screenshot:

1. The imported file in H2O can be parsed into the hex format (the native file format for H2O) using the Parse these files action, which will appear once the file is imported to the H2O environment:

1. The parsed data frame in H2O can be split into training and validation using the Data | Split Frame action, as shown in the following screenshot:

1. Select the model from the Model menu and set up the model-related parameters. An example for a glm model is seen in the following screenshot:

1. The Score | predict action can be used to score another hex data frame in H2O: