Mapping Tasks to Categories
Not available in Factory Lite and Factory Personal licenses.
In the table below, you will find a column indicating the task name in Rulex Factory, and the corresponding name which needs to be reported in the Excel configuration file in the Category Name column.
The category names of tasks need to be used when:
Type | Task Name in Rulex Factory | Category Name for Excel |
---|---|---|
Import | Conditional Import | conditionalimport |
Empty Source | sourceempty | |
Import from Database | sourcesql | |
Import from Excel File | sourceexcel | |
Import from Json File | sourcejson | |
Import from Task | sourcetask | |
Import from Text File | sourcetextfile | |
Import from Xml File | sourcexml | |
Rulex Process File Source | sourceprc | |
Export | Export to Database | sinkdb |
Export to Excel File | sinkexcel | |
Export to Json File | sinkjson | |
Export to Text File | sinktextfile | |
Export to Xml File | sinkxml | |
Visualization/Editing | Association Manager | advassmanager |
Data Manager | datamanager | |
Itemsets/Sequences Manager | freqitmanager | |
Rule Manager | ruleview - rulemanager | |
Pre-Processing | Concatenate | concat |
Discretize | discretization | |
Fill/Clean | missingdata | |
Join | join | |
Moving Windows | tappeddelay | |
Principal Component Analysis | pca | |
Reshape to Long | tolong | |
Reshape to Wide | towide | |
Transpose | transpose | |
Classification | Decision Tree | dectree |
K-Nearest Neighbor | knn | |
Logic Learning Machine | trainlm | |
Logistic | logregression | |
Neural Networks | neuralnetworks | |
SVM | svm | |
One Class | One-Class Logic learning Machine | oneclassllm |
Regression | Auto Regressive | autoregressive |
K-nearest Neighbor Regression | knnregr | |
Linear | fitting | |
Logic Learning Machine Regression | llmregr | |
Neural Networks Regression | neuralnetworksregr | |
Regression SVM | svmregr | |
Regression Tree | regrtree | |
Optimization | Mixed Integer Linear Programming | linprog |
Network Optimizer | networkoptimizer | |
Clustering | Label Clustering (K-means) | labelclustk |
Projection Clustering (K-means) | projclustk | |
Standard Clustering (K-means) | stdclustk | |
Association Rules | Anomaly Detection | anomalydetection |
Assortment Optimizer | portfoliooptimizer | |
Frequent Itemsets Mining | frequentitemsets | |
Hierarchical Basket Analysis | basketanalysis | |
Sequence Analysis | frequentsequences | |
Similar Items Detector | simitems | |
Evaluation | Confusion Matrix | confmatrix |
Feature Ranking | featurerank | |
Rule Viewer | ruleviewer | |
General | Apply Model | applymodel |
Convert Dataset to Model | datasettomodel | |
Convert Dataset to Ruleset | datasettorule | |
Convert Dataset to Structure | datasettostruct | |
Convert Model to Dataset | modeltodataset | |
Convert Ruleset to Dataset | ruletodataset | |
Convert Structure to Dataset | structtodataset | |
Execute Rulex Process File | executeprc | |
Export Current Process | exportprc | |
Find/Replace | findreplace | |
Merge Rules | mergerules | |
Optimize Ruleset | optimizelm | |
Runtime Variables | runtimevars | |
Select Flows | selectflows | |
Split Data | splitdata | |
Bridge | Python Bridge | pythonbridge |
Python Import Bridge | sourcepython | |
R Bridge | rbridge | |
R Import Bridge | sourcer |