Mapping Tasks to Categories
Each type of task in Rulex has a specific name, called its category.
The category names of tasks need to be used when:
Type | Task Name in Rulex | 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 |