Let's build a logistic regression interactively using the H2O browser.
- Start a new flow, as shown in the following screenshot:
Creating a new flow in H2O
- Import a dataset using the Data menu, as shown in the following screenshot:
Importing files to the H2O environment
- 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:
Parsing the file to the hex format
- 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:
Splitting the dataset into training and validation
- 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:
Building a model in H2O
- The Score | predict action can be used to score another hex data frame in H2O:
Scoring in H2O