Dataset validation flow
Overview
The following steps summarize the flow of validating a dataset in H2O Model Validation:
- Step 1: Establish a Connection and import a dataset
- Step 2: Run validation test(s)
- Step 3: Review test(s) metrics
Step 1: Establish a Connection and import a dataset
Establish a Connection that lets you import your datasets from a platform (for example, Driverless AI). Once a Connection has been established, you can begin importing datasets.
- To learn how to establish a Connection, see Create a Connection.
- To learn how to import a dataset from an established Connection, see Import/upload a dataset.
Step 2: Run validation test(s)
Run one or multiple validation tests for the imported dataset. To analyze (validate) a dataset, H2O Model Validation offers certain validation tests. You can fine-tune the parameters of each test by using the available configuration settings.
- To learn about available tests for a dataset, see Supported validation tests.
Step 3: Review test(s) metrics
For each validation test for a dataset, 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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