Operator reference

This section provides an alphabetical list of operators including properties views and ports for each operator.

Select an operator for details about the operator's purpose, properties, and ports.

Associations operator reference
The Associations operator builds a rule model containing association rules.
Associations Extractor operator reference
The associations extractor operator extracts information from an association rules model.
Clusterer operator reference
The Clusterer operator builds a model that contains groups of similar records.
Cluster Extractor operator reference
The cluster extractor operator extracts information about the clusters like size and description from a clustering model.
Cluster Table operator reference
The Cluster Table operator finds groups with similar characteristics in your input table.
Correlations Extractor operator reference
The correlations extractor operator extracts a table containing the correlations between fields from a clustering, classification or regression model. For each pair of fields in the input data that was used to train the model, their correlation is given.
Discretize operator reference
The Discretize operator converts the values of a continuous input field into a defined set of buckets.
Dictionary Lookup operator reference
With the Dictionary Lookup operator, you can configure analysis engines to analyze text columns by using several dictionaries.
Fields Extractor operator reference
The fields extractor operator extracts field information from a mining model and stores the extracted information in a table.
Find Deviations operator reference
The Find Deviations operator finds records in your input table that deviate from the majority of records.
Find Rules operator reference
The Find Rules operator finds relationships in your data resulting in a set of rules describing those relationships.
Gains Extractor operator reference
The gains extractor operator extracts a table containing gains chart information from a Classification or Regression model. A gains chart allows you to assess the model quality.
Item Aggregator operator reference
With the Item Aggregator operator, you can collapse a set of input values from multiple rows into a single set-valued XML value. This is useful if you want to provide a set of annotations that are created by the Text operators as a single set-valued field input for data-mining algorithms.
Model Source operator reference
A Model Source operator represents a data mining model in the database.
Predict Column operator reference
The Predict Column operator predicts the values of a target column.
Predictor operator reference
The Predictor operator creates a mining model that predicts the value of a target field.
Random Split operator reference
The Random split operator splits an incoming table into two parts, test and training subsets.
Regular Expression Lookup operator reference
With the Regular Expression Lookup operator, you can analyze input-text columns by using rule files with regular-expression patterns.
Rule Filter operator reference
The Rule Filter operator builds a rule model by filtering the rules in an associations rules model or a sequences rules model.
Quality Extractor operator reference
The Quality Extractor operator extracts quality information from a test result or model for analysis.
Sampler operator reference
The Sampler operator is a filter that can create a repeatable sample for any incoming virtual input table.
Scorer operator reference
The scorer operator applies a mining model to an input table to compute scores for new records.
Sequences operator reference
The sequences operator finds typical sequences of events in the training data.
Sequences Extractor operator reference
The Sequences Extractor operator extracts the sequences that are contained in a sequence rules model.
Table Source operator reference
The Table Source operator extracts rows from a source table.
Table Target operator reference
The Table Target operator writes the tabular results in a target table.
Tester operator reference
The Tester operator tests the quality of classification and regression models.
Text Analyzer operator reference
The Text Analyzer operator uses UIMA-compliant annotators to extract concepts from text.
Time Series operator reference
The Time Series operator builds a model that contains forecasts of data series which are ordered in time.
Time Series Extractor operator reference
The Time Series extractor operator extracts the Time Series forecasts from a Time Series model.
Tree Rules Extractor reference
The Tree Rules extractor operator extracts rules from a tree classification model.
Visualizer operator reference
The Visualizer operator displays a mining model in the Intelligent Miner® Visualizer.

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