Converting Structures to Datasets
The Convert Structure to Dataset task produces a dataset that contains all the information included in the specified structure.
There are many reasons why you may want to convert structures, here are a few examples:
in-depth analysis can be performed on the resulting dataset through a Data Manager. For example you could filter rules through a formula to identify only those rules which have a specific range of covering.
the resulting dataset can be exported to an external item, such as a file or database table
produce a dataset that contains all the information included in a model, such as the weights of a neural networks or the coefficients of a linear regression.
The more specific Convert Ruleset to Dataset (and vice-versa) and Convert Model to Dataset (and vice-versa) tasks are still available for backward compatibility, but they are fully substituted by this new set of generic structure conversion tasks.
you must have created a flow;
the structure you want to convert is correctly formed and computed
Drag and drop the Convert Structure to Dataset task onto the stage.
Connect a task that contains an existing model to the Convert Structure to Dataset task.
Double click the task and select the required structure. The only structure that requires additional parameters are rules, which require the parameters explained in the table below.
Save and compute the task. Care must be taken when modifying the dataset provided by this task, since this can lead to an inconsistent format which can no longer be interpreted by a subsequent Convert Dataset to Structure task.
Convert Structure to Dataset options for Ruleset
Select the required format for the dataset (rulewide), which can be one of the following:
Conditions on ordered attributes format
Select the required format for the conditions on ordered attributes (ruleinterval), which can be one of the following: