Overview on Rulex Tasks
Tasks are the most elementary units in Rulex. Each task, apart from import tasks, receives data from its parent task and creates outputs (processed data, models,...), which in turn are provided to its child tasks. This is the concept of dataflow: each task propagates all the received tables, modifying those related to its elaboration.
Rulex tasks can complete entire functions, not just single operations. For example, the Data Manager task provides all data exploration operations, such as sorting, filtering, grouping, computing statistics, applying formulas, creating plots, etc. Everything you need to truly understand the data you have in hand. As all these operations are in one task you can perform many operations quickly, through rapid trial and error, and avoid lengthy computations of multiple tasks.
Double clicking on a task in the Rulex stage allows you to customize it through a set of configurable options (in the graphical interface and via parametric options). The options depend on the selected task.
Right-click any task to manage it with the following operations:
Command | Description |
|---|---|
Compute | Computes the tasks in different ways according to the option chosen. See Saving and Computing Tasks for details. |
Reset | Resets the task in one of two ways:
|
Edit Priority | Allows you to modify priority settings for the specific task. See Prioritizing Tasks for details. |
Take a look | Allows you to view the data related to a task, and perform all the tasks provided by the Data Manager task, in read-only mode, so you do not need to add a Data Manager task to the process to view its contents. |
Link to | Connects the task another selected task in the process. After selecting Link to, simply select the second task to which you want to connect. |
Create module | Compacts all the selected tasks into a single module task, For more details see Compacting Tasks into Modules |
Open | Opens the selected task in the process. The same operation can be performed by double-clicking the task. |
Rename | Opens an edit box where you can rename the task. Providing user-friendly names for tasks, which identify their contents or function, makes the process easier to understand. |
Delete | Deletes the selected task and any connectors. |
Copy & Paste | Copies and pastes the task to another part of the process. This operation copies the configuration options made in the task, but not the data it contains. |
Task Categories
Each task, uniquely identified by an alphanumeric string, belongs to a specific category that identifies the action to be performed on the data:
Category | Contains | Tasks |
|---|---|---|
Import | Tools to import datasets, structures and processes. | |
Export | Tools to export datasets. | |
Visualization/Editing | Tools to visualize data and perform basic statistical analysis. | |
Pre-Processing | Techniques for elaborating the dataset, merging tables and changing the format of data. | |
Classification | Methods to induce the classification of targeted samples. | |
One-Class | Algorithms for unsupervised anomaly detection and rules discovery. | |
Regression | Algorithms for obtaining a multivariate functional relationship among ordered variables. | |
Optimization | Tasks for solving problems related to optimizing a situation, by maximizing or minimizing specific values or optimizing a distribution network. | |
Clustering | Tools for determining the partition in groups of untargeted samples. | |
Association Rules | Algorithms for extracting frequent groups of itemsets and defining the corresponding association rules. | |
Evaluation | Methods for evaluating the results of previous analysis. | |
General | General-purpose tasks. | |
Control | Tests and optimizes rules. | |
Bridge | Tasks to enable communication with external scripts. |