com.spss.psapi.transform

Class ProcessorType



  • public final class ProcessorType
    extends Enum
    This clas enumerates the types of nodes.
    Since:
    PSAPI 1.0
    Version:
    1.1
    Author:
    Julian Clinton
    Specification Status:
    Under Development
    • Field Detail

      • UNKNOWN

        public static final ProcessorType UNKNOWN
        Represents a node whose type cannot be determined.
      • IMPORT_DATABASE

        public static final ProcessorType IMPORT_DATABASE
        Represents a DataReader that imports data from a database.
      • IMPORT_DELIMITED

        public static final ProcessorType IMPORT_DELIMITED
        Represents a DataReader that imports data from a delimited text file.
      • IMPORT_FIXED_COLUMN

        public static final ProcessorType IMPORT_FIXED_COLUMN
        Represents a DataReader that imports data from a fixed with column text file.
      • IMPORT_SPSS

        public static final ProcessorType IMPORT_SPSS
        Represents a DataReader that imports data from a Statistics ".sav" file.
      • IMPORT_SAS

        public static final ProcessorType IMPORT_SAS
        Represents a DataReader that imports data from a file generated by SAS.
      • USER_INPUT

        public static final ProcessorType USER_INPUT
        Represents a DataReader that generates a temporary data set from user-specified values.
      • IMPORT_EXCEL

        public static final ProcessorType IMPORT_EXCEL
        Represents a DataReader that imports data from an Excel .xls file.
      • IMPORT_DIMENSIONS

        public static final ProcessorType IMPORT_DIMENSIONS
        Represents a DataReader that imports data from a Data Collection (formerly Dimensions) DSC.
      • IMPORT_EV

        public static final ProcessorType IMPORT_EV
        Represents a DataReader that imports data from the Enterprise View.
      • EXPORT_DATABASE

        public static final ProcessorType EXPORT_DATABASE
        Represents a DataWriter that exports data to a database.
      • EXPORT_DELIMITED

        public static final ProcessorType EXPORT_DELIMITED
        Represents a DataWriter that exports data to a delimited text file.
      • EXPORT_SPSS

        public static final ProcessorType EXPORT_SPSS
        Represents a DataWriter that exports data to a Statistics ".sav" file.
      • EXPORT_DIMENSIONS

        public static final ProcessorType EXPORT_DIMENSIONS
        Represents a DataWriter that exports data to a Data Collection (formerly Dimensions) file.
      • EXPORT_EXCEL

        public static final ProcessorType EXPORT_EXCEL
        Represents a DataWriter that exports data to an Excel file.
      • EXPORT_SAS

        public static final ProcessorType EXPORT_SAS
        Represents a DataWriter that exports data to a SAS format file.
      • AUTO_DATA_PREP

        public static final ProcessorType AUTO_DATA_PREP
        Represents a DataTransformer that automatically prepare data for the modelling node
      • SELECT

        public static final ProcessorType SELECT
        Represents a DataTransformer that selects or discards rows based on a specified condition.
      • SAMPLE

        public static final ProcessorType SAMPLE
        Represents a DataTransformer that extracts a sample of records.
      • JOIN

        public static final ProcessorType JOIN
        Represents a DataTransformer that joins rows from multiple data sources.
      • BALANCE

        public static final ProcessorType BALANCE
        Represents a DataTransformer that modifies the ratios of value categories within a data set.
      • SORT

        public static final ProcessorType SORT
        Represents a DataTransformer that sorts rows into a specified order.
      • AGGREGATE

        public static final ProcessorType AGGREGATE
        Represents a DataTransformer that aggregates data in order to produce summary information such as row counts, minimum and maximum values etc.
      • RFM_AGGREGATE

        public static final ProcessorType RFM_AGGREGATE
        Represents a DataTransformer that prepares transactional data for Recency, Frequency and Monetary analysis.
      • RFM_ANALYSIS

        public static final ProcessorType RFM_ANALYSIS
        Represents a DataTransformer that performs Recency, Frequency and Monetary analysis on aggregated data.
      • DISTINCT

        public static final ProcessorType DISTINCT
        Represents a DataTransformer that removes duplicate rows.
      • APPEND

        public static final ProcessorType APPEND
        Represents a DataTransformer that appends rows from multiple data sources.
      • FILTER

        public static final ProcessorType FILTER
        Represents a DataTransformer that is used to rename or remove columns of data.
      • TYPE

        public static final ProcessorType TYPE
        Represents a DataTransformer that gathers metadata and controls how columns within the data set should be treated e.g., continuous or discrete, predictor or predicted etc..
      • DERIVE

        public static final ProcessorType DERIVE
        Represents a DataTransformer that adds new columns to the data set.
      • FILLER

        public static final ProcessorType FILLER
        Represents a DataTransformer that can be used to replace null or missing values.
      • ANONYMIZE

        public static final ProcessorType ANONYMIZE
        Represents a DataTransformer that allows field names and values to be anonymized to hide their original meaning.
      • SET_TO_FLAG

        public static final ProcessorType SET_TO_FLAG
        Represents a DataTransformer that converts columns with multiple categories into new flag columns that indicate whether a category was present.
      • RESTRUCTURE

        public static final ProcessorType RESTRUCTURE
        Represents a DataTransformer that converts columns with multiple categories into new columns that indicate whether a category was present.
      • TRANSPOSE

        public static final ProcessorType TRANSPOSE
        Represents a DataTransformer that converts columns to rows and rows to columns.
      • TIME_INTERVALS

        public static final ProcessorType TIME_INTERVALS
        Represents a DataTransformer that creates evenly spaced time intervals or appends time labels.
      • HISTORY

        public static final ProcessorType HISTORY
        Represents a DataTransformer that can include values from previous rows.
      • FIELD_REORDER

        public static final ProcessorType FIELD_REORDER
        Represents a DataTransformer that allows the order of columns to be modified.
      • RECLASSIFY

        public static final ProcessorType RECLASSIFY
        Represents a DataTransformer that allows a set of discrete values to be mapped to another.
      • BINNING

        public static final ProcessorType BINNING
        Represents a DataTransformer that allows numeric values to be converted to a discrete set of values.
      • SPSSXD

        public static final ProcessorType SPSSXD
        Represents a DataTransformer that allows command in SPSS syntax to be run.
      • PARTITION

        public static final ProcessorType PARTITION
        Represents a DataTransformer that adds a new column whose value identifies the data partition.
      • ENSEMBLE

        public static final ProcessorType ENSEMBLE
        Represents a DataTransformer that generates output columns based on a group of predictive models.
      • TIMESERIES_PROCESS

        public static final ProcessorType TIMESERIES_PROCESS
        Represents a DataTransformer that builds and scores a Time Series model.
      • STATISTICS_TRANSFORM

        public static final ProcessorType STATISTICS_TRANSFORM
        Represents a DataTransformer that transforms data using Statistics syntax.
      • BUILD_BACK_PROPAGATION

        public static final ProcessorType BUILD_BACK_PROPAGATION
        Represents a ModelBuilder that builds a back-propagation neural net models.
      • BUILD_C50

        public static final ProcessorType BUILD_C50
        Represents a ModelBuilder that builds a decision tree or rule set using the C5.0 rule induction algorithm.
      • BUILD_KOHONEN

        public static final ProcessorType BUILD_KOHONEN
        Represents a ModelBuilder that builds a self-organising Kohonen neural network.
      • BUILD_LINEAR_REGRESSION

        public static final ProcessorType BUILD_LINEAR_REGRESSION
        Represents a ModelBuilder that builds a linear regression model.
      • BUILD_LOGISTIC_REGRESSION

        public static final ProcessorType BUILD_LOGISTIC_REGRESSION
        Represents a ModelBuilder that builds a logistic regression model.
      • BUILD_CART

        public static final ProcessorType BUILD_CART
        Represents a ModelBuilder that builds a decision tree using the C&RT algorithm.
      • BUILD_FACTOR

        public static final ProcessorType BUILD_FACTOR
        Represents a ModelBuilder that uses either principal components analysis or factor analysis to reduce data complexity.
      • BUILD_TWOSTEP

        public static final ProcessorType BUILD_TWOSTEP
        Represents a ModelBuilder that builds a clustering model using the TwoStep clustering algorithm.
      • BUILD_GRI

        public static final ProcessorType BUILD_GRI
        Represents a ModelBuilder that builds an association rule set using the GRI (Generalised Rule Induction) algorithm.
      • BUILD_APRIORI

        public static final ProcessorType BUILD_APRIORI
        Represents a ModelBuilder that builds an association rule set using the Apriori algorithm.
      • BUILD_KMEANS

        public static final ProcessorType BUILD_KMEANS
        Represents a ModelBuilder that builds a clustering model using the K-Means clustering algorithm.
      • BUILD_SEQUENCE

        public static final ProcessorType BUILD_SEQUENCE
        Represents a ModelBuilder that builds a sequence model.
      • BUILD_CARMA

        public static final ProcessorType BUILD_CARMA
        Represents a ModelBuilder that builds an association rule set using the CARMA algorithm.
      • BUILD_CHAID

        public static final ProcessorType BUILD_CHAID
        Represents a ModelBuilder that builds a decision tree using the CHAID algorithm.
      • BUILD_QUEST

        public static final ProcessorType BUILD_QUEST
        Represents a ModelBuilder that builds a decision tree using the QUEST algorithm.
      • BUILD_TIME_SERIES

        public static final ProcessorType BUILD_TIME_SERIES
        Represents a ModelBuilder that builds a time series model.
      • BUILD_TEXT_EXTRACTION

        public static final ProcessorType BUILD_TEXT_EXTRACTION
        Represents a ModelBuilder that builds a text extraction model using Lexi text extraction.
      • BUILD_MS_DECISION_TREE

        public static final ProcessorType BUILD_MS_DECISION_TREE
        Represents a ModelBuilder that builds a decision tree using the Microsoft Decision Trees algorithm and Microsoft Analysis Services.
      • BUILD_MS_ASSOCIATION_RULES

        public static final ProcessorType BUILD_MS_ASSOCIATION_RULES
        Represents a ModelBuilder that builds an association rule set using the Microsoft Association Rules algorithm and Microsoft Analysis Services.
      • BUILD_MS_CLUSTERING

        public static final ProcessorType BUILD_MS_CLUSTERING
        Represents a ModelBuilder that builds a clustering model using the Microsoft Clustering algorithm and Microsoft Analysis Services.
      • BUILD_MS_NAIVE_BAYES

        public static final ProcessorType BUILD_MS_NAIVE_BAYES
        Represents a ModelBuilder that builds a naive Bayes model using the Microsoft Naive Bayes algorithm and Microsoft Analysis Services.
      • BUILD_MS_REGRESSION

        public static final ProcessorType BUILD_MS_REGRESSION
        Represents a ModelBuilder that builds a linear regression model using the Microsoft Linear Regression and Microsoft Analysis Services.
      • BUILD_MS_NEURAL_NETWORK

        public static final ProcessorType BUILD_MS_NEURAL_NETWORK
        Represents a ModelBuilder that builds a neural network model using the Microsoft Neural Network and Microsoft Analysis Services.
      • BUILD_MS_LOGISTIC

        public static final ProcessorType BUILD_MS_LOGISTIC
        Represents a ModelBuilder that builds a logistic regression model using the Microsoft Logistic Regression and Microsoft Analysis Services.
      • BUILD_MS_TIME_SERIES

        public static final ProcessorType BUILD_MS_TIME_SERIES
        Represents a ModelBuilder that builds a time series model using the Microsoft Time Series and Microsoft Analysis Services.
      • BUILD_MS_SEQUENCE_CLUSTERING

        public static final ProcessorType BUILD_MS_SEQUENCE_CLUSTERING
        Represents a ModelBuilder that builds a sequence cluster model using the Microsoft Sequence Clustering and Microsoft Analysis Services.
      • BUILD_DB2IM_DECISION_TREE

        public static final ProcessorType BUILD_DB2IM_DECISION_TREE
        Represents a ModelBuilder that builds a decision tree using the Decision Trees algorithm in IBM DB2 Intelligent Miner.
      • BUILD_DB2IM_ASSOCIATION_RULES

        public static final ProcessorType BUILD_DB2IM_ASSOCIATION_RULES
        Represents a ModelBuilder that builds association rules using the association algorithm in IBM DB2 Intelligent Miner.
      • BUILD_DB2IM_SEQUENCE_RULES

        public static final ProcessorType BUILD_DB2IM_SEQUENCE_RULES
        Represents a ModelBuilder that builds sequence rules using the sequence algorithm in IBM DB2 Intelligent Miner.
      • BUILD_DB2IM_REGRESSION

        public static final ProcessorType BUILD_DB2IM_REGRESSION
        Represents a ModelBuilder that builds an estimation rule set using the regression algorithm in IBM DB2 Intelligent Miner.
      • BUILD_DB2IM_CLUSTER

        public static final ProcessorType BUILD_DB2IM_CLUSTER
        Represents a ModelBuilder that builds a cluster model using the clustering algorithm in IBM DB2 Intelligent Miner.
      • BUILD_DB2IM_NAIVEBAYES

        public static final ProcessorType BUILD_DB2IM_NAIVEBAYES
        Represents a ModelBuilder that builds a naive bayes model using the naive bayes algorithm in IBM DB2 Intelligent Miner.
      • BUILD_DB2IM_LOGISTIC

        public static final ProcessorType BUILD_DB2IM_LOGISTIC
        Represents a ModelBuilder that builds a logistic regression using the logistic algorithm in IBM DB2 Intelligent Miner.
      • BUILD_DB2IM_TIMESERIES

        public static final ProcessorType BUILD_DB2IM_TIMESERIES
        Represents a ModelBuilder that builds a time series using the time series algorithm in IBM DB2 Intelligent Miner.
      • BUILD_ORACLE_NAIVE_BAYES

        public static final ProcessorType BUILD_ORACLE_NAIVE_BAYES
        Represents a ModelBuilder that builds a naive Bayes model using the naive Bayes algorithm in Oracle Data Mining.
      • BUILD_ORACLE_ADAPTIVE_BAYES

        public static final ProcessorType BUILD_ORACLE_ADAPTIVE_BAYES
        Represents a ModelBuilder that builds an adaptive Bayes model using the adaptive Bayes algorithm in Oracle Data Mining.
      • BUILD_ORACLE_SVM

        public static final ProcessorType BUILD_ORACLE_SVM
        Represents a ModelBuilder that builds a SVM model using the Support Vector Machines algorithm in Oracle Data Mining.
      • BUILD_ORACLE_GLM

        public static final ProcessorType BUILD_ORACLE_GLM
        Represents a ModelBuilder that builds a GLM model using the Generalized Linear Models in Oracle Data Mining.
      • BUILD_ORACLE_OCLUSTER

        public static final ProcessorType BUILD_ORACLE_OCLUSTER
        Represents a ModelBuilder that builds a OCluster model using the OCluster algorithm in Oracle Data Mining.
      • BUILD_ORACLE_KMEANS

        public static final ProcessorType BUILD_ORACLE_KMEANS
        Represents a ModelBuilder that builds a KMeans model using the KMeans algorithm in Oracle Data Mining.
      • BUILD_ORACLE_DECISION_TREE

        public static final ProcessorType BUILD_ORACLE_DECISION_TREE
        Represents a ModelBuilder that builds a Decision Tree model using the Decision Tree algorithm in Oracle Data Mining.
      • BUILD_ORACLE_APRIORI

        public static final ProcessorType BUILD_ORACLE_APRIORI
        Represents a ModelBuilder that builds an Apriori model using the Apriori algorithm in Oracle Data Mining.
      • BUILD_ORACLE_NMF

        public static final ProcessorType BUILD_ORACLE_NMF
        Represents a ModelBuilder that builds a NMF model using the NMF algorithm in Oracle Data Mining.
      • BUILD_ORACLE_ATTRIBUTE_IMPORTANCE

        public static final ProcessorType BUILD_ORACLE_ATTRIBUTE_IMPORTANCE
        Represents a ModelBuilder that builds a NMF model using the NMF algorithm in Oracle Data Mining.
      • BUILD_ORACLE_MDL

        public static final ProcessorType BUILD_ORACLE_MDL
      • BUILD_FEATURE_SELECTION

        public static final ProcessorType BUILD_FEATURE_SELECTION
        Represents a ModelBuilder that builds a feature selection model
      • BUILD_ANOMALY_DETECTION

        public static final ProcessorType BUILD_ANOMALY_DETECTION
        Represents a ModelBuilder that builds an anomaly detection model
      • BUILD_DECISION_LIST

        public static final ProcessorType BUILD_DECISION_LIST
        Represents a ModelBuilder that builds a decision list model
      • BUILD_AUTO_CLASSIFIER

        public static final ProcessorType BUILD_AUTO_CLASSIFIER
        Represents a ModelBuilder that builds multiple classification models.
      • BUILD_BINARY_CLASSIFIER

        public static final ProcessorType BUILD_BINARY_CLASSIFIER
        Deprecated. As of PSAPI 13.0, replaced by BUILD_AUTO_CLASSIFIER.
        Represents a ModelBuilder that builds multiple binary models.
      • BUILD_AUTO_NUMERIC

        public static final ProcessorType BUILD_AUTO_NUMERIC
        Represents a ModelBuilder that builds multiple models to predict a numeric outcome.
      • BUILD_RANGE_PREDICTOR

        public static final ProcessorType BUILD_RANGE_PREDICTOR
        Deprecated. As of PSAPI 13.0, replaced by BUILD_AUTO_NUMERIC.
        Represents a ModelBuilder that builds multiple models that predict a range.
      • BUILD_AUTO_CLUSTER

        public static final ProcessorType BUILD_AUTO_CLUSTER
        Represents a ModelBuilder that builds multiple clustering models.
      • BUILD_SPSS_MODEL

        public static final ProcessorType BUILD_SPSS_MODEL
        Represents a ModelBuilder that builds Statistics models
      • APPLY_BACK_PROPAGATION

        public static final ProcessorType APPLY_BACK_PROPAGATION
        Represents a ModelApplier that applies back-propagation neural net models.
      • APPLY_C50

        public static final ProcessorType APPLY_C50
        Represents a ModelApplier that applies models generated by C5.0.
      • APPLY_C5SPLIT_MODEL

        public static final ProcessorType APPLY_C5SPLIT_MODEL
        Represents a split ModelApplier that applies models generated by C5.0.
      • APPLY_KOHONEN

        public static final ProcessorType APPLY_KOHONEN
        Represents a ModelApplier that applies Kohonen neural net models.
      • APPLY_LINEAR_REGRESSION

        public static final ProcessorType APPLY_LINEAR_REGRESSION
        Represents a ModelApplier that applies linear regression models.
      • APPLY_LOGISTIC_REGRESSION

        public static final ProcessorType APPLY_LOGISTIC_REGRESSION
        Represents a ModelApplier that applies logistic regression models.
      • APPLY_CART

        public static final ProcessorType APPLY_CART
        Represents a ModelApplier that applies C&RT models.
      • APPLY_RULE

        public static final ProcessorType APPLY_RULE
        Represents a ModelApplier that applies generic rule/decision tree models. These are generated from association rule sets or from imported PMML.
      • APPLY_FACTOR

        public static final ProcessorType APPLY_FACTOR
        Represents a ModelApplier that applies PCA or Factor equation models.
      • APPLY_TWOSTEP

        public static final ProcessorType APPLY_TWOSTEP
        Represents a ModelApplier that applies models generated by TwoStep clustering.
      • APPLY_KMEANS

        public static final ProcessorType APPLY_KMEANS
        Represents a ModelApplier that applies K-Means clustering models.
      • APPLY_SEQUENCE

        public static final ProcessorType APPLY_SEQUENCE
        Represents a ModelApplier that applies sequence models.
      • APPLY_APRIORI_ASSOCIATION

        public static final ProcessorType APPLY_APRIORI_ASSOCIATION
        Represents a ModelApplier that applies association models generated by the Apriori association algorithm.
      • APPLY_CARMA_ASSOCIATION

        public static final ProcessorType APPLY_CARMA_ASSOCIATION
        Represents a ModelApplier that applies association models generated by the CARMA association algorithm.
      • APPLY_CHAID

        public static final ProcessorType APPLY_CHAID
        Represents a ModelApplier that applies CHAID models.
      • APPLY_QUEST

        public static final ProcessorType APPLY_QUEST
        Represents a ModelApplier that applies QUEST models.
      • APPLY_TIME_SERIES

        public static final ProcessorType APPLY_TIME_SERIES
        Represents a ModelApplier that applies time series models.
      • APPLY_TEXT_EXTRACTION

        public static final ProcessorType APPLY_TEXT_EXTRACTION
        Represents a ModelApplier that applies text extraction models.
      • APPLY_MS_DECISION_TREE

        public static final ProcessorType APPLY_MS_DECISION_TREE
        Represents a ModelApplier that applies a decision tree built using the Microsoft Decision Trees algorithm and Microsoft Analysis Services.
      • APPLY_MS_ASSOCIATION_RULES

        public static final ProcessorType APPLY_MS_ASSOCIATION_RULES
        Represents a ModelApplier that applies an association rule set using the Microsoft Association Rules algorithm and Microsoft Analysis Services.
      • APPLY_MS_CLUSTERING

        public static final ProcessorType APPLY_MS_CLUSTERING
        Represents a ModelApplier that applies a clustering model using the Microsoft Clustering algorithm and Microsoft Analysis Services.
      • APPLY_MS_NAIVE_BAYES

        public static final ProcessorType APPLY_MS_NAIVE_BAYES
        Represents a ModelApplier that applies a naive Bayes model using the Microsoft Naive Bayes algorithm and Microsoft Analysis Services.
      • APPLY_MS_LOGISTIC

        public static final ProcessorType APPLY_MS_LOGISTIC
        Represents a ModelApplier that applies a logistic regression model using the Microsoft Logistic Regression algorithm and Microsoft Analysis Services.
      • APPLY_MS_REGRESSION

        public static final ProcessorType APPLY_MS_REGRESSION
        Represents a ModelApplier that applies a linear regression model using the Microsoft Linear Regression algorithm and Microsoft Analysis Services.
      • APPLY_MS_NEURAL_NETWORK

        public static final ProcessorType APPLY_MS_NEURAL_NETWORK
        Represents a ModelApplier that applies a neural network model using the Microsoft Neural Network algorithm and Microsoft Analysis Services.
      • APPLY_MS_TIME_SERIES

        public static final ProcessorType APPLY_MS_TIME_SERIES
        Represents a ModelApplier that applies a time series model using the Microsoft Time Series algorithm and Microsoft Analysis Services.
      • APPLY_MS_SEQUENCE_CLUSTERING

        public static final ProcessorType APPLY_MS_SEQUENCE_CLUSTERING
        Represents a ModelApplier that applies a sequence cluster model using the Microsoft Sequence Clustering algorithm and Microsoft Analysis Services.
      • APPLY_DB2IM_DECISION_TREE

        public static final ProcessorType APPLY_DB2IM_DECISION_TREE
        Represents a ModelApplier that applies a decision tree built using the Decision Trees algorithm in IBM DB2 Intelligent Miner.
      • APPLY_DB2IM_ASSOCIATION

        public static final ProcessorType APPLY_DB2IM_ASSOCIATION
        Represents a ModelApplier that applies an association built using the Association Rule algorithm in IBM DB2 Intelligent Miner.
      • APPLY_DB2IM_SEQUENCE

        public static final ProcessorType APPLY_DB2IM_SEQUENCE
        Represents a ModelApplier that applies an sequence built using the Sequence Rule algorithm in IBM DB2 Intelligent Miner.
      • APPLY_DB2IM_REGRESSION

        public static final ProcessorType APPLY_DB2IM_REGRESSION
        Represents a ModelApplier that applies a regression tree built using the regression algorithm in IBM DB2 Intelligent Miner.
      • APPLY_DB2IM_CLUSTER

        public static final ProcessorType APPLY_DB2IM_CLUSTER
        Represents a ModelApplier that applies a cluster model built using the clustering algorithm in IBM DB2 Intelligent Miner.
      • APPLY_DB2IM_NAIVEBAYES

        public static final ProcessorType APPLY_DB2IM_NAIVEBAYES
        Represents a ModelApplier that applies a naive bayes model built using the naive bayes algorithm in IBM DB2 Intelligent Miner.
      • APPLY_DB2IM_LOGISTIC

        public static final ProcessorType APPLY_DB2IM_LOGISTIC
        Represents a ModelApplier that applies a logistic regression model built using the logistic algorithm in IBM DB2 Intelligent Miner.
      • APPLY_ORACLE_NAIVE_BAYES

        public static final ProcessorType APPLY_ORACLE_NAIVE_BAYES
        Represents a ModelApplier that applies a naive Bayes model built using the naive Bayes algorithm in Oracle Data Mining.
      • APPLY_ORACLE_ADAPTIVE_BAYES

        public static final ProcessorType APPLY_ORACLE_ADAPTIVE_BAYES
        Represents a ModelApplier that applies an adaptive Bayes model built using the adaptive Bayes algorithm in Oracle Data Mining.
      • APPLY_ORACLE_SVM

        public static final ProcessorType APPLY_ORACLE_SVM
        Represents a ModelApplier that applies an SVM model built using the Support Vector Machines algorithm in Oracle Data Mining.
      • APPLY_ORACLE_GLM

        public static final ProcessorType APPLY_ORACLE_GLM
        Represents a ModelApplier that applies an GLM model built using the Generalized Linear Models algorithm in Oracle Data Mining.
      • APPLY_ORACLE_KMEANS

        public static final ProcessorType APPLY_ORACLE_KMEANS
        Represents a ModelApplier that applies a KMeans model built using the KMeans algorithm in Oracle Data Mining.
      • APPLY_ORACLE_OCLUSTER

        public static final ProcessorType APPLY_ORACLE_OCLUSTER
        Represents a ModelApplier that applies an OCluster model built using the OCluster algorithm in Oracle Data Mining.
      • APPLY_ORACLE_NMF

        public static final ProcessorType APPLY_ORACLE_NMF
        Represents a ModelApplier that applies an NMF model built using the NMF algorithm in Oracle Data Mining.
      • APPLY_ORACLE_DECISION_TREE

        public static final ProcessorType APPLY_ORACLE_DECISION_TREE
        Represents a ModelApplier that applies a decision tree model built using the decision tree algorithm in Oracle Data Mining.
      • APPLY_ORACLE_ATTRIBUTE_IMPORTANCE

        public static final ProcessorType APPLY_ORACLE_ATTRIBUTE_IMPORTANCE
        Represents a ModelApplier that applies a decision tree model built using the decision tree algorithm in Oracle Data Mining.
      • APPLY_FEATURE_SELECTION

        public static final ProcessorType APPLY_FEATURE_SELECTION
        Represents a ModelApplier that applies feature selection models.
      • APPLY_ANOMALY_DETECTION

        public static final ProcessorType APPLY_ANOMALY_DETECTION
        Represents a ModelApplier that applies anomaly detection models.
      • APPLY_DECISION_LIST

        public static final ProcessorType APPLY_DECISION_LIST
        Represents a ModelApplier that applies decision list models.
      • APPLY_CATEGORIZE

        public static final ProcessorType APPLY_CATEGORIZE
        Represents a ModelApplier that applies categorize models.
      • APPLY_SPSS_MODEL

        public static final ProcessorType APPLY_SPSS_MODEL
        Represents a ModelApplier that applies spss models.
      • APPLY_AUTO_NUMERIC

        public static final ProcessorType APPLY_AUTO_NUMERIC
        Represents a ModelApplier that applies auto numeric models.
      • APPLY_AUTO_CLASSIFIER

        public static final ProcessorType APPLY_AUTO_CLASSIFIER
        Represents a ModelApplier that applies auto classifier models.
      • APPLY_AUTO_CLUSTER

        public static final ProcessorType APPLY_AUTO_CLUSTER
        Represents a ModelApplier that applies auto cluster models.
      • BUILD_SCATTER_PLOT

        public static final ProcessorType BUILD_SCATTER_PLOT
        Represents a GraphBuilder that builds scatter plots. This shows show the relationship between numeric columns.
      • BUILD_TIME_PLOT

        public static final ProcessorType BUILD_TIME_PLOT
        Represents a GraphBuilder that builds time plots. This plots one or more series over time
      • BUILD_HISTOGRAM

        public static final ProcessorType BUILD_HISTOGRAM
        Represents a GraphBuilder that builds a histogram. This show the occurrence of values for numeric columns.
      • BUILD_DISTRIBUTION

        public static final ProcessorType BUILD_DISTRIBUTION
        Represents a RowSetBuilder that builds a distribution table. This shows the occurence of distinct values within a column.
      • BUILD_COLLECTION

        public static final ProcessorType BUILD_COLLECTION
        Represents a GraphBuilder that builds a collection graph. Collections are similar to histograms except that collections show the distribution of values for one numeric field relative to the values of another, rather than the occurrence of values for a single field.
      • BUILD_EVALUATION

        public static final ProcessorType BUILD_EVALUATION
        Represents a GraphBuilder that builds an evaluation graph. This shows provides an easy way to evaluate and compare predictive models.
      • BUILD_WEB

        public static final ProcessorType BUILD_WEB
        Represents a GraphBuilder that builds a web or directed web graph. This shows the strength of relationships between values of two or more discrete columns.
      • BUILD_MULTI_PLOT

        public static final ProcessorType BUILD_MULTI_PLOT
        Represents a GraphBuilder that builds a multi-plot graph. This shows the relationship between multiple Y columns over a single X column.
      • BUILD_GRAPH_BOARD

        public static final ProcessorType BUILD_GRAPH_BOARD
        Represents a GraphBuilder that builds a graph board graph.
      • BUILD_MAP

        public static final ProcessorType BUILD_MAP
        Represents a GraphBuilder that builds a graph geo-map.
      • BUILD_TABLE

        public static final ProcessorType BUILD_TABLE
        Represents a RowSetBuilder that builds a table showing data as rows and columns.
      • BUILD_CUSTOM_TABLE

        public static final ProcessorType BUILD_CUSTOM_TABLE
        Represents a ReportBuilder that builds an SPSS custom table.
      • BUILD_MATRIX

        public static final ProcessorType BUILD_MATRIX
        Represents a RowSetBuilder that builds a matrix. This is a table used to show relationships between columns.
      • BUILD_ANALYSIS

        public static final ProcessorType BUILD_ANALYSIS
        Represents a ReportBuilder that builds a model analysis report. This is used to analyze predictive models to evaluate their ability to generate accurate prediction.
      • BUILD_DATA_AUDIT

        public static final ProcessorType BUILD_DATA_AUDIT
        Represents a RowSetBuilder that builds a table continaing summary information about each column in the data set. This is used to show summary statistics as well as histograms and distribution graphs for each column.
      • BUILD_TRANSFORM

        public static final ProcessorType BUILD_TRANSFORM
        Represents a RowSetBuilder that builds a table containing transforms for each field.
      • BUILD_STATISTICS

        public static final ProcessorType BUILD_STATISTICS
        Represents a ReportBuilder that builds a statistics report. This is used to get summary statistics for individual columns and correlations between columns.
      • BUILD_STATISTICS_OUTPUT

        public static final ProcessorType BUILD_STATISTICS_OUTPUT
        Represents a ReportBuilder that builds Statistics output
      • BUILD_MEANS

        public static final ProcessorType BUILD_MEANS
        Represents a ReportBuilder that builds a means report. This is used to compare means between pairs of fields, or between groups within a field.
      • BUILD_REPORT

        public static final ProcessorType BUILD_REPORT
        Represents a ReportBuilder that builds a basic, user specified report.
      • BUILD_QUALITY

        public static final ProcessorType BUILD_QUALITY
        Represents a RowSetBuilder that builds a quality table. This is used to report on the quality of the data by checking for missing values or blanks in each column fo the data set.
      • PUBLISHER

        public static final ProcessorType PUBLISHER
        Represents a TerminalProcessor that allows streams to be "published" for subsequent deployment.
      • SET_GLOBALS

        public static final ProcessorType SET_GLOBALS
        Represents a TerminalProcessor that allows global values to be calculated and be made globally accessible.
      • INPUT_CONNECTOR

        public static final ProcessorType INPUT_CONNECTOR
        A DiagramConnector which routes input to a composite diagram. A connector cannot be created but is obtained from a diagram.
      • OUTPUT_CONNECTOR

        public static final ProcessorType OUTPUT_CONNECTOR
        A DiagramConnector which routes output from a composite diagram. A connector cannot be created but is obtained from a diagram.
    • Method Detail

      • getEnum

        public static ProcessorType getEnum(java.lang.String name)
        Returns the enumeration with the supplied name or null if no enumeration exists for the supplied name.
        Parameters:
        name - the enumeration name
        Returns:
        the enumeration with the supplied name or null
      • getValues

        public static ProcessorType[] getValues()
        Returns an array containing all the valid values for this enumeration class.
        Returns:
        an array containing all the valid values for this enumeration class
      • addProcessorType

        public static ProcessorType addProcessorType(java.lang.String identifier)
        Adds a the type with the supplied name. Returns the new type or null if a type with the supplied name already exists. This method is for system use only and is only public as an implementation detail.
        Parameters:
        identifier -
        Returns:
        the new type or null
        Since:
        PSAPI 2.0
        See Also:
        removeProcessorType(String)
      • removeProcessorType

        public static void removeProcessorType(java.lang.String identifier)
        Removes the specified type. The type should have been created with addProcessorType(). This method is for system use only and is only public as an implementation detail.
        Parameters:
        identifier - the type to be removed
        Since:
        PSAPI 2.0
        See Also:
        addProcessorType(String)
      • isUnknown

        public boolean isUnknown()
        Returns true if this value is UNKNOWN.
        Overrides:
        isUnknown in class Enum
        Returns:
        true if this represents an unknown ProcessorType

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