After selecting the features, the user is then able to select the algorithms they wish to use to train their model(s).
The user can select one or more algorithms and can also repeat using different features and settings each time.
The algorithms displayed depend on whether the user specified Classification or Regression as the workspace type at workspace creation time.
Clicking on the settings cog will allow the user to enter algorithm specific parameters.
Once all required algorithms and their settings have been entered, the user then selects 'Train'.
The models and their corresponding results will then appear in the Results section.
Each model result has 3 icons associated with it. These allow you to inspect the results of the model and also publish the chosen model. Published models can then be used against a live Knowi queries to predict against incoming data.
|view the data results of the trained model and see the predicted output against the original predictor input|
|view the statistical results of each model|
|publish the chosen model and make it available for use against incoming data|
To use the model against a live Knowi query, the user selects the 'Use Model' option corresponding to the model they wish to use. The system will then take them to the query list page where they can select the appropriate query and associate the model to be used at query run time.