Uses of Package
com.pervasive.datarush.annotations

Package
Description
 
 
Provides common classes for Association Rule Mining (ARM).
Provides the operator to perform the FP-growth ARM algorithm.
Provides operators related to data cleansing.
Provides base PMML for clustering models.
Provides the KMeans algorithm.
Provides the PMML learner operator and associated classes.
Provides the decision tree predictor operator and associated classes.
Provides the decision tree pruner operator and associated classes.
Provides various statistics functions.
Provides an implementation of the KNN algorithm using DataRush's sparse data API.
Provides an implementation of the Naive Bayes learner.
Provides an implementation of a Naive Bayes predictor.
Provides shared and base classes for PMML model representation of Analytics algorithms.
 
Provides utility, PMML and other classes for shared use by regression related entities.
Provides various statistics, Data Summarizer, and Data Quality Analyzer.
Provides an implementation of an SVM learner.
Provides an implementation of an SVM predictor.
Provides various unstructured text processing operators.
Provides some (internal) utility classes for Analytics.
Provides operators for classifier performance visualization.
Provides classes and interfaces related to defining functions on records.
 
Provides operators for performing discovering duplicates or links between records.
Provides operators for clustering the results of duplicate or linkage discovery.
Provides functions related to approximate matching.
Provides classes and interfaces for developing dataflow operators.
Provides operators for making assertions on flows and files.
 
Provides data aggregation components.
Provides base file I/O components including encoders and decoders.
Provides operators for reading and writing files in Avro format.
 
Provides operators for reading from JDBC sources and writing to JDBC targets.
 
Provides operators for reading and writing DataRush staging datasets.
Provides operators for reading and writing text data.
 
Provides operators for joining together two data sets into a single one.
Provides operators for handling models.
Provides operators for partitioning and unpartitioning flows of data.
Provides operators for manipulating record structure.
Provides the RunScript operator for running user-defined scripts on the rows of an input record flow.
Provides operators for selecting a subset of the data set.
Provides the LogRows operator for writing debugging information about a flow to the logging API.
Provides operators for sorting and manipulating sorted flows.
Provides operators for generating data tokens in various ways.
Provides operators for operating on string values in records.