Model validation flow
Overview
The following steps summarize the flow of validating a model in H2O Model Validation:
- Step 1: Establish a Connection and import a model
- Step 2: Create validation test(s)
- Step 3: Review test(s) metrics
Step 1: Establish a Connection and import a model
Establish a Connection that lets you import your models from a platform (for example, Driverless AI). Once a Connection has been established, you can begin importing models.
- To learn how to establish a Connection, see Create a Connection.
- To learn how to import a model from an established Connection, see Import a model.
Step 2: Create validation test(s)
Run one or multiple validation tests for the imported model. H2O Model Validation offers a variety of validation tests to analyze the robustness and stability of your machine learning models. You can fine-tune the parameters of each test by using the available configuration settings.
- To learn about available validation tests for a model, see Supported validation tests.
Step 3: Review test(s) metrics
For each validation test for a model, H2O Model Validation offers a variety of metrics. For example, metrics come in graphs, charts, and heatmaps that let you assess the results of each test in detail.
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