Procedure 4: Recalling a Logistic Regression model with Flow

To recall this logistic regression model from flow, navigate to:

Scores >>> Predict

The predict cell will be added to the Flow:

The recall of the model may assume that a new frame has been created in flow, but for this example, the validation frame will be recalled via the logistic regression, trained, model. Firstly, set the model to recall:

Thereafter, select the data frame to process through the model:

Upon selecting the input parameters, click the predict button to complete the prediction. A cell detailing the output will be created:

It is sensible at this stage to combine the predictions with the original dataset. To combine the predictions with the original dataset, simply click the Combine Predictions with Frame button:

Upon combining the predictions with the original dataset, the dataset will be available for download:

To interact with the newly created data frame click on the View Frame button:

The View Frame functionality provides for the downloading and further manipulation of the data frame:

The process thus far uses the Flow user interface to create something akin to a script, where it is the flow tool that is sending instructions to the H2O API. It would be far less cumbersome to use R scripting to achieve such flows.