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 process, or from the tasks belonging to any other process, as long as they use the same underlying Rulex database.

This is useful to help create simple processes, minimizing the connections between various tasks, and also to share information between different processes.

There are some important advantages to working in this way:

  • You can create different pre-processing tasks in the new process

  • You can join or relate different training models in a single model

  • You can construct loops or multiple iterations.

We do not recommend using this task within modules. As data sources change, if unexpected results are produced as output, it becomes very difficult to retrieve the root of the issue.


Additional tabs

The following additional tabs are provided:


  1. Drag and drop the Import from Task task onto the central stage.

  2. Double click the task.

  3. Configure the task options, as described in the table below.

  4. Save and compute the task.

Import from Task options

Parameter Name



Import dataset from


Select the type of item from which you want to create your new dataset.
These are usually based on other datasets, however, in some cases it is useful to use items such as clusters or frequent itemsets as the basis of the new dataset.

Structures to be imported from target task


Select which structures you want to include in the imported dataset.
Possible structures, along with the tasks that produce these structures are:

Association rules

Hierarchical Basket Analysis

Similar Items Detector

Auto regressive models



Label Clustering

Projection Clustering

Standard Clustering

Cluster labels 

Label Clustering

Projection Clustering

Discretization cutoffs


Frequent itemsets

Frequent Itemsets Mining

Frequent sequences

Sequences Analysis


All tasks


LLM tasks  (Classification, Regression & One-Class)

Decision Tree

Regression Tree




Neural Networks (Classification & Regression)

SVM (Classification & Regression)

PCA eigenvectors

Principal Component Analysis



Select the specific process from which you want to import the structures from the drop-down list.

If ‘THIS’ is selected within modules, datasets coming from the parent workflow are imported. However, it is preferable to map inputs in the module itself, rather than using Import from Task, to avoid possible inconsistencies.



Select the specific task you want to import data from.