Importing Structures with Import from Task
You can import many different types of structure, such as models, clusters and rules, from any part of your current flow, or from the tasks belonging to any other flow, as long as they use the same underlying Rulex database.
This is useful to help create simple flows, minimizing the connections between various tasks, and also to share information between different flows.
There are some important advantages to working in this way:
You can create different pre-processing tasks in the new flow
You can join or relate different training models in a single model
You can construct loops or multiple iterations.
you must have created a flow;
the flow you import data from must all use the same underlying database.
Drag and drop the Import from Task task onto the central stage.
Double click the task.
Configure the task options, as described in the table below.
Save and compute the task.
Import from Task options
Import dataset from
Select the type of item from which you want to create your new dataset.
Structures to be imported from target task
Select which structures you want to include in the imported dataset.
Hierarchical Basket Analysis
Similar Items Detector
Auto regressive models
Frequent Itemsets Mining
LLM tasks (Classification, Regression & One-Class)
Neural Networks (Classification & Regression)
SVM (Classification & Regression)
Principal Component Analysis
Select the specific flow from which you want to import the structures from the drop-down list.
If this task is used within modules, ‘THIS’ refers to the module itself, as the module is considered as a flow itself.
If you need to import from the parent flow, you must do this through module mapping and remove the Import from Task from the module. For more information on modules, see Configuring Modules with Data sources.
Select the specific task you want to import data from.