This component generates a view to interactively execute a model on an artificial data point. The view updates a visualization of the model output based on a new input manually inserted by the user. Adopt the view to either test a hypothesis or to deploy the model as a data app on KNIME WebPortal. The component works for any classification or regression model captured in a workflow object via the KNIME Integrated Deployment Extension. Supported types for the input feature columns are: “Number (double)”, “Number (integer)” and “String”. For testing this component we recommend connecting its input model port with the “AutoML” classification component (kni.me/c/33fQGaQzuZByy6hE) or the “AutoML (Regression)” component (https://kni.me/c/5kzQcySUa8oukv0Y). In order to work you also need to provide a sample of data with all the input feature columns of the model. The sample is used to compute the range of possible values (upper/lower bounds and string categories) that the user can change in the view. Constant numeric columns are not supported. For deployment purposes you can also save the last input and prediction by adding more nodes to the component output. This component was released as part of the Verified Components project (knime.com/verified-components).
- Type: Workflow Port ObjectWorkflow ObjectA classification or regression model Workflow Object captured with KNIME Integrated Deployment.
- Type: TableSample DataSample table with all input feature columns. The sample is adopted to define the range of possible values the user can input via the displayed widgets.