public final class ProcessorType extends Enum
Modifier and Type | Field and Description |
---|---|
static ProcessorType |
AGGREGATE
Represents a
DataTransformer that aggregates data in order to
produce summary information such as row counts, minimum and maximum values
etc. |
static ProcessorType |
ANONYMIZE
Represents a
DataTransformer that allows field names and values
to be anonymized to hide their original meaning. |
static ProcessorType |
APPEND
Represents a
DataTransformer that appends rows from multiple
data sources. |
static ProcessorType |
APPLY_ANOMALY_DETECTION
Represents a
ModelApplier that applies anomaly detection models. |
static ProcessorType |
APPLY_APRIORI_ASSOCIATION
Represents a
ModelApplier that applies association models generated
by the Apriori association algorithm. |
static ProcessorType |
APPLY_AUTO_CLASSIFIER
Represents a
ModelApplier that applies auto classifier models. |
static ProcessorType |
APPLY_AUTO_CLUSTER
Represents a
ModelApplier that applies auto cluster models. |
static ProcessorType |
APPLY_AUTO_NUMERIC
Represents a
ModelApplier that applies auto numeric models. |
static ProcessorType |
APPLY_BACK_PROPAGATION
Represents a
ModelApplier that applies back-propagation neural net models. |
static ProcessorType |
APPLY_C50
Represents a
ModelApplier that applies models generated by C5.0. |
static ProcessorType |
APPLY_C5SPLIT_MODEL
Represents a split
ModelApplier that applies models generated by C5.0. |
static ProcessorType |
APPLY_CARMA_ASSOCIATION
Represents a
ModelApplier that applies association models generated
by the CARMA association algorithm. |
static ProcessorType |
APPLY_CART
Represents a
ModelApplier that applies C&RT models. |
static ProcessorType |
APPLY_CATEGORIZE
Represents a
ModelApplier that applies categorize models. |
static ProcessorType |
APPLY_CHAID
Represents a
ModelApplier that applies CHAID models. |
static ProcessorType |
APPLY_DB2IM_ASSOCIATION
Represents a
ModelApplier that applies an association built using the
Association Rule algorithm in IBM DB2 Intelligent Miner. |
static ProcessorType |
APPLY_DB2IM_CLUSTER
Represents a
ModelApplier that applies a cluster model built using the
clustering algorithm in IBM DB2 Intelligent Miner. |
static ProcessorType |
APPLY_DB2IM_DECISION_TREE
Represents a
ModelApplier that applies a decision tree built using the
Decision Trees algorithm in IBM DB2 Intelligent Miner. |
static ProcessorType |
APPLY_DB2IM_LOGISTIC
Represents a
ModelApplier that applies a logistic regression model built using the
logistic algorithm in IBM DB2 Intelligent Miner. |
static ProcessorType |
APPLY_DB2IM_NAIVEBAYES
Represents a
ModelApplier that applies a naive bayes model built using the
naive bayes algorithm in IBM DB2 Intelligent Miner. |
static ProcessorType |
APPLY_DB2IM_REGRESSION
Represents a
ModelApplier that applies a regression tree built using the
regression algorithm in IBM DB2 Intelligent Miner. |
static ProcessorType |
APPLY_DB2IM_SEQUENCE
Represents a
ModelApplier that applies an sequence built using the
Sequence Rule algorithm in IBM DB2 Intelligent Miner. |
static ProcessorType |
APPLY_DECISION_LIST
Represents a
ModelApplier that applies decision list models. |
static ProcessorType |
APPLY_FACTOR
Represents a
ModelApplier that applies PCA or Factor equation models. |
static ProcessorType |
APPLY_FEATURE_SELECTION
Represents a
ModelApplier that applies feature selection models. |
static ProcessorType |
APPLY_KMEANS
Represents a
ModelApplier that applies K-Means clustering models. |
static ProcessorType |
APPLY_KOHONEN
Represents a
ModelApplier that applies Kohonen neural net models. |
static ProcessorType |
APPLY_LINEAR_REGRESSION
Represents a
ModelApplier that applies linear regression models. |
static ProcessorType |
APPLY_LOGISTIC_REGRESSION
Represents a
ModelApplier that applies logistic regression models. |
static ProcessorType |
APPLY_MS_ASSOCIATION_RULES
Represents a
ModelApplier that applies an association rule set using the
Microsoft Association Rules algorithm and Microsoft Analysis Services. |
static ProcessorType |
APPLY_MS_CLUSTERING
Represents a
ModelApplier that applies a clustering model using the
Microsoft Clustering algorithm and Microsoft Analysis Services. |
static ProcessorType |
APPLY_MS_DECISION_TREE
Represents a
ModelApplier that applies a decision tree built using the
Microsoft Decision Trees algorithm and Microsoft Analysis Services. |
static ProcessorType |
APPLY_MS_LOGISTIC
Represents a
ModelApplier that applies a logistic regression model using the
Microsoft Logistic Regression algorithm and Microsoft Analysis Services. |
static ProcessorType |
APPLY_MS_NAIVE_BAYES
Represents a
ModelApplier that applies a naive Bayes model using the
Microsoft Naive Bayes algorithm and Microsoft Analysis Services. |
static ProcessorType |
APPLY_MS_NEURAL_NETWORK
Represents a
ModelApplier that applies a neural network model using the
Microsoft Neural Network algorithm and Microsoft Analysis Services. |
static ProcessorType |
APPLY_MS_REGRESSION
Represents a
ModelApplier that applies a linear regression model using the
Microsoft Linear Regression algorithm and Microsoft Analysis Services. |
static ProcessorType |
APPLY_MS_SEQUENCE_CLUSTERING
Represents a
ModelApplier that applies a sequence cluster model using the
Microsoft Sequence Clustering algorithm and Microsoft Analysis Services. |
static ProcessorType |
APPLY_MS_TIME_SERIES
Represents a
ModelApplier that applies a time series model using the
Microsoft Time Series algorithm and Microsoft Analysis Services. |
static ProcessorType |
APPLY_ORACLE_ADAPTIVE_BAYES
Represents a
ModelApplier that applies an adaptive Bayes model built using the
adaptive Bayes algorithm in Oracle Data Mining. |
static ProcessorType |
APPLY_ORACLE_ATTRIBUTE_IMPORTANCE
Represents a
ModelApplier that applies a decision tree model built using the
decision tree algorithm in Oracle Data Mining. |
static ProcessorType |
APPLY_ORACLE_DECISION_TREE
Represents a
ModelApplier that applies a decision tree model built using the
decision tree algorithm in Oracle Data Mining. |
static ProcessorType |
APPLY_ORACLE_GLM
Represents a
ModelApplier that applies an GLM model built using the
Generalized Linear Models algorithm in Oracle Data Mining. |
static ProcessorType |
APPLY_ORACLE_KMEANS
Represents a
ModelApplier that applies a KMeans model built using the
KMeans algorithm in Oracle Data Mining. |
static ProcessorType |
APPLY_ORACLE_NAIVE_BAYES
Represents a
ModelApplier that applies a naive Bayes model built using the
naive Bayes algorithm in Oracle Data Mining. |
static ProcessorType |
APPLY_ORACLE_NMF
Represents a
ModelApplier that applies an NMF model built using the
NMF algorithm in Oracle Data Mining. |
static ProcessorType |
APPLY_ORACLE_OCLUSTER
Represents a
ModelApplier that applies an OCluster model built using the
OCluster algorithm in Oracle Data Mining. |
static ProcessorType |
APPLY_ORACLE_SVM
Represents a
ModelApplier that applies an SVM model built using the
Support Vector Machines algorithm in Oracle Data Mining. |
static ProcessorType |
APPLY_QUEST
Represents a
ModelApplier that applies QUEST models. |
static ProcessorType |
APPLY_RULE
Represents a
ModelApplier that applies generic rule/decision tree models. |
static ProcessorType |
APPLY_SEQUENCE
Represents a
ModelApplier that applies sequence models. |
static ProcessorType |
APPLY_SPSS_MODEL
Represents a
ModelApplier that applies spss models. |
static ProcessorType |
APPLY_TEXT_EXTRACTION
Represents a
ModelApplier that applies text extraction models. |
static ProcessorType |
APPLY_TIME_SERIES
Represents a
ModelApplier that applies time series models. |
static ProcessorType |
APPLY_TWOSTEP
Represents a
ModelApplier that applies models generated by TwoStep
clustering. |
static ProcessorType |
AUTO_DATA_PREP
Represents a
DataTransformer that automatically prepare data for the
modelling node |
static ProcessorType |
BALANCE
Represents a
DataTransformer that modifies the ratios of value
categories within a data set. |
static ProcessorType |
BINNING
Represents a
DataTransformer that allows numeric values to
be converted to a discrete set of values. |
static ProcessorType |
BUILD_ANALYSIS
Represents a
ReportBuilder that builds a model analysis report. |
static ProcessorType |
BUILD_ANOMALY_DETECTION
Represents a
ModelBuilder that builds an anomaly detection model |
static ProcessorType |
BUILD_APRIORI
Represents a
ModelBuilder that builds an association rule set
using the Apriori algorithm. |
static ProcessorType |
BUILD_AUTO_CLASSIFIER
Represents a
ModelBuilder that builds multiple classification models. |
static ProcessorType |
BUILD_AUTO_CLUSTER
Represents a
ModelBuilder that builds multiple clustering models. |
static ProcessorType |
BUILD_AUTO_NUMERIC
Represents a
ModelBuilder that builds multiple models to predict a numeric outcome. |
static ProcessorType |
BUILD_BACK_PROPAGATION
Represents a
ModelBuilder that builds a back-propagation
neural net models. |
static ProcessorType |
BUILD_BINARY_CLASSIFIER
Deprecated.
As of PSAPI 13.0, replaced by
BUILD_AUTO_CLASSIFIER . |
static ProcessorType |
BUILD_C50
Represents a
ModelBuilder that builds a decision tree or rule set
using the C5.0 rule induction algorithm. |
static ProcessorType |
BUILD_CARMA
Represents a
ModelBuilder that builds an association rule set
using the CARMA algorithm. |
static ProcessorType |
BUILD_CART
Represents a
ModelBuilder that builds a decision tree using
the C&RT algorithm. |
static ProcessorType |
BUILD_CHAID
Represents a
ModelBuilder that builds a decision tree
using the CHAID algorithm. |
static ProcessorType |
BUILD_COLLECTION
Represents a
GraphBuilder that builds a collection graph. |
static ProcessorType |
BUILD_CUSTOM_TABLE
Represents a
ReportBuilder that builds an SPSS custom table. |
static ProcessorType |
BUILD_DATA_AUDIT
Represents a
RowSetBuilder that builds a table continaing summary
information about each column in the data set. |
static ProcessorType |
BUILD_DB2IM_ASSOCIATION_RULES
Represents a
ModelBuilder that builds association rules using the
association algorithm in IBM DB2 Intelligent Miner. |
static ProcessorType |
BUILD_DB2IM_CLUSTER
Represents a
ModelBuilder that builds a cluster model using the
clustering algorithm in IBM DB2 Intelligent Miner. |
static ProcessorType |
BUILD_DB2IM_DECISION_TREE
Represents a
ModelBuilder that builds a decision tree using the
Decision Trees algorithm in IBM DB2 Intelligent Miner. |
static ProcessorType |
BUILD_DB2IM_LOGISTIC
Represents a
ModelBuilder that builds a logistic regression using the
logistic algorithm in IBM DB2 Intelligent Miner. |
static ProcessorType |
BUILD_DB2IM_NAIVEBAYES
Represents a
ModelBuilder that builds a naive bayes model using the
naive bayes algorithm in IBM DB2 Intelligent Miner. |
static ProcessorType |
BUILD_DB2IM_REGRESSION
Represents a
ModelBuilder that builds an estimation rule set using the
regression algorithm in IBM DB2 Intelligent Miner. |
static ProcessorType |
BUILD_DB2IM_SEQUENCE_RULES
Represents a
ModelBuilder that builds sequence rules using the
sequence algorithm in IBM DB2 Intelligent Miner. |
static ProcessorType |
BUILD_DB2IM_TIMESERIES
Represents a
ModelBuilder that builds a time series using the
time series algorithm in IBM DB2 Intelligent Miner. |
static ProcessorType |
BUILD_DECISION_LIST
Represents a
ModelBuilder that builds a decision list model |
static ProcessorType |
BUILD_DISTRIBUTION
Represents a
RowSetBuilder that builds a distribution table. |
static ProcessorType |
BUILD_EVALUATION
Represents a
GraphBuilder that builds an evaluation graph. |
static ProcessorType |
BUILD_FACTOR
Represents a
ModelBuilder that uses either principal components
analysis or factor analysis to reduce data complexity. |
static ProcessorType |
BUILD_FEATURE_SELECTION
Represents a
ModelBuilder that builds a feature selection model |
static ProcessorType |
BUILD_GRAPH_BOARD
Represents a
GraphBuilder that builds a graph board graph. |
static ProcessorType |
BUILD_GRI
Represents a
ModelBuilder that builds an association rule set
using the GRI (Generalised Rule Induction) algorithm. |
static ProcessorType |
BUILD_HISTOGRAM
Represents a
GraphBuilder that builds a histogram. |
static ProcessorType |
BUILD_KMEANS
Represents a
ModelBuilder that builds a clustering model
using the K-Means clustering algorithm. |
static ProcessorType |
BUILD_KOHONEN
Represents a
ModelBuilder that builds a self-organising Kohonen
neural network. |
static ProcessorType |
BUILD_LINEAR_REGRESSION
Represents a
ModelBuilder that builds a linear regression model. |
static ProcessorType |
BUILD_LOGISTIC_REGRESSION
Represents a
ModelBuilder that builds a logistic regression model. |
static ProcessorType |
BUILD_MAP
Represents a
GraphBuilder that builds a graph geo-map. |
static ProcessorType |
BUILD_MATRIX
Represents a
RowSetBuilder that builds a matrix. |
static ProcessorType |
BUILD_MEANS
Represents a
ReportBuilder that builds a means report. |
static ProcessorType |
BUILD_MS_ASSOCIATION_RULES
Represents a
ModelBuilder that builds an association rule set using the
Microsoft Association Rules algorithm and Microsoft Analysis Services. |
static ProcessorType |
BUILD_MS_CLUSTERING
Represents a
ModelBuilder that builds a clustering model using the
Microsoft Clustering algorithm and Microsoft Analysis Services. |
static ProcessorType |
BUILD_MS_DECISION_TREE
Represents a
ModelBuilder that builds a decision tree using the
Microsoft Decision Trees algorithm and Microsoft Analysis Services. |
static ProcessorType |
BUILD_MS_LOGISTIC
Represents a
ModelBuilder that builds a logistic regression model using the
Microsoft Logistic Regression and Microsoft Analysis Services. |
static ProcessorType |
BUILD_MS_NAIVE_BAYES
Represents a
ModelBuilder that builds a naive Bayes model using the
Microsoft Naive Bayes algorithm and Microsoft Analysis Services. |
static ProcessorType |
BUILD_MS_NEURAL_NETWORK
Represents a
ModelBuilder that builds a neural network model using the
Microsoft Neural Network and Microsoft Analysis Services. |
static ProcessorType |
BUILD_MS_REGRESSION
Represents a
ModelBuilder that builds a linear regression model using the
Microsoft Linear Regression and Microsoft Analysis Services. |
static ProcessorType |
BUILD_MS_SEQUENCE_CLUSTERING
Represents a
ModelBuilder that builds a sequence cluster model using the
Microsoft Sequence Clustering and Microsoft Analysis Services. |
static ProcessorType |
BUILD_MS_TIME_SERIES
Represents a
ModelBuilder that builds a time series model using the
Microsoft Time Series and Microsoft Analysis Services. |
static ProcessorType |
BUILD_MULTI_PLOT
Represents a
GraphBuilder that builds a multi-plot graph. |
static ProcessorType |
BUILD_ORACLE_ADAPTIVE_BAYES
Represents a
ModelBuilder that builds an adaptive Bayes model using the
adaptive Bayes algorithm in Oracle Data Mining. |
static ProcessorType |
BUILD_ORACLE_APRIORI
Represents a
ModelBuilder that builds an Apriori model using the
Apriori algorithm in Oracle Data Mining. |
static ProcessorType |
BUILD_ORACLE_ATTRIBUTE_IMPORTANCE
Represents a
ModelBuilder that builds a NMF model using the
NMF algorithm in Oracle Data Mining. |
static ProcessorType |
BUILD_ORACLE_DECISION_TREE
Represents a
ModelBuilder that builds a Decision Tree model using the
Decision Tree algorithm in Oracle Data Mining. |
static ProcessorType |
BUILD_ORACLE_GLM
Represents a
ModelBuilder that builds a GLM model using the
Generalized Linear Models in Oracle Data Mining. |
static ProcessorType |
BUILD_ORACLE_KMEANS
Represents a
ModelBuilder that builds a KMeans model using the
KMeans algorithm in Oracle Data Mining. |
static ProcessorType |
BUILD_ORACLE_MDL |
static ProcessorType |
BUILD_ORACLE_NAIVE_BAYES
Represents a
ModelBuilder that builds a naive Bayes model using the
naive Bayes algorithm in Oracle Data Mining. |
static ProcessorType |
BUILD_ORACLE_NMF
Represents a
ModelBuilder that builds a NMF model using the
NMF algorithm in Oracle Data Mining. |
static ProcessorType |
BUILD_ORACLE_OCLUSTER
Represents a
ModelBuilder that builds a OCluster model using the
OCluster algorithm in Oracle Data Mining. |
static ProcessorType |
BUILD_ORACLE_SVM
Represents a
ModelBuilder that builds a SVM model using the
Support Vector Machines algorithm in Oracle Data Mining. |
static ProcessorType |
BUILD_QUALITY
Represents a
RowSetBuilder that builds a quality table. |
static ProcessorType |
BUILD_QUEST
Represents a
ModelBuilder that builds a decision tree
using the QUEST algorithm. |
static ProcessorType |
BUILD_RANGE_PREDICTOR
Deprecated.
As of PSAPI 13.0, replaced by
BUILD_AUTO_NUMERIC . |
static ProcessorType |
BUILD_REPORT
Represents a
ReportBuilder that builds a basic, user specified report. |
static ProcessorType |
BUILD_SCATTER_PLOT
Represents a
GraphBuilder that builds scatter plots. |
static ProcessorType |
BUILD_SEQUENCE
Represents a
ModelBuilder that builds a sequence model. |
static ProcessorType |
BUILD_SPSS_MODEL
Represents a
ModelBuilder that builds Statistics models |
static ProcessorType |
BUILD_STATISTICS
Represents a
ReportBuilder that builds a statistics report. |
static ProcessorType |
BUILD_STATISTICS_OUTPUT
Represents a
ReportBuilder that builds Statistics output |
static ProcessorType |
BUILD_TABLE
Represents a
RowSetBuilder that builds a table showing data as
rows and columns. |
static ProcessorType |
BUILD_TEXT_EXTRACTION
Represents a
ModelBuilder that builds a text extraction model
using Lexi text extraction. |
static ProcessorType |
BUILD_TIME_PLOT
Represents a
GraphBuilder that builds time plots. |
static ProcessorType |
BUILD_TIME_SERIES
Represents a
ModelBuilder that builds a time series model. |
static ProcessorType |
BUILD_TRANSFORM
Represents a
RowSetBuilder that builds a table containing transforms for each field. |
static ProcessorType |
BUILD_TWOSTEP
Represents a
ModelBuilder that builds a clustering model
using the TwoStep clustering algorithm. |
static ProcessorType |
BUILD_WEB
Represents a
GraphBuilder that builds a web or directed web graph. |
static ProcessorType |
DERIVE
Represents a
DataTransformer that adds new columns to the
data set. |
static ProcessorType |
DISTINCT
Represents a
DataTransformer that removes duplicate rows. |
static ProcessorType |
ENSEMBLE
Represents a
DataTransformer that generates output columns based
on a group of predictive models. |
static ProcessorType |
EXPORT_DATABASE
Represents a
DataWriter that exports data to a database. |
static ProcessorType |
EXPORT_DELIMITED
Represents a
DataWriter that exports data to a delimited text file. |
static ProcessorType |
EXPORT_DIMENSIONS
Represents a
DataWriter that exports data to a Data Collection (formerly Dimensions) file. |
static ProcessorType |
EXPORT_EXCEL
Represents a
DataWriter that exports data to an Excel file. |
static ProcessorType |
EXPORT_SAS
Represents a
DataWriter that exports data to a SAS format file. |
static ProcessorType |
EXPORT_SPSS
Represents a
DataWriter that exports data to a Statistics ".sav" file. |
static ProcessorType |
FIELD_REORDER
Represents a
DataTransformer that allows the order of columns
to be modified. |
static ProcessorType |
FILLER
Represents a
DataTransformer that can be used to replace
null or missing values. |
static ProcessorType |
FILTER
Represents a
DataTransformer that is used to rename or
remove columns of data. |
static ProcessorType |
HISTORY
Represents a
DataTransformer that can include values from previous
rows. |
static ProcessorType |
IMPORT_DATABASE
Represents a
DataReader that imports data from a database. |
static ProcessorType |
IMPORT_DELIMITED
Represents a
DataReader that imports data from a delimited text file. |
static ProcessorType |
IMPORT_DIMENSIONS
Represents a
DataReader that imports data from a Data Collection (formerly Dimensions) DSC. |
static ProcessorType |
IMPORT_EV
Represents a
DataReader that imports data from the Enterprise View. |
static ProcessorType |
IMPORT_EXCEL
Represents a
DataReader that imports data from an Excel .xls file. |
static ProcessorType |
IMPORT_FIXED_COLUMN
Represents a
DataReader that imports data from a fixed with column text file. |
static ProcessorType |
IMPORT_SAS
Represents a
DataReader that imports data from a file generated by SAS. |
static ProcessorType |
IMPORT_SPSS
Represents a
DataReader that imports data from a Statistics ".sav" file. |
static ProcessorType |
INPUT_CONNECTOR
A
DiagramConnector which routes input to a composite diagram. |
static ProcessorType |
JOIN
Represents a
DataTransformer that joins rows from multiple
data sources. |
static ProcessorType |
OUTPUT_CONNECTOR
A
DiagramConnector which routes output from a composite diagram. |
static ProcessorType |
PARTITION
Represents a
DataTransformer that adds a new column whose value
identifies the data partition. |
static ProcessorType |
PUBLISHER
Represents a
TerminalProcessor that allows streams
to be "published" for subsequent deployment. |
static ProcessorType |
RECLASSIFY
Represents a
DataTransformer that allows a set of discrete
values to be mapped to another. |
static ProcessorType |
RESTRUCTURE
Represents a
DataTransformer that converts columns with multiple
categories into new columns that indicate whether a category was present. |
static ProcessorType |
RFM_AGGREGATE
Represents a
DataTransformer that prepares transactional data for
Recency, Frequency and Monetary analysis. |
static ProcessorType |
RFM_ANALYSIS
Represents a
DataTransformer that performs Recency, Frequency
and Monetary analysis on aggregated data. |
static ProcessorType |
SAMPLE
Represents a
DataTransformer that extracts a sample of records. |
static ProcessorType |
SELECT
Represents a
DataTransformer that selects or discards rows based
on a specified condition. |
static ProcessorType |
SET_GLOBALS
Represents a
TerminalProcessor that allows global values to be
calculated and be made globally accessible. |
static ProcessorType |
SET_TO_FLAG
Represents a
DataTransformer that converts columns with multiple
categories into new flag columns that indicate whether a category was present. |
static ProcessorType |
SORT
Represents a
DataTransformer that sorts rows into a specified
order. |
static ProcessorType |
SPSSXD
Represents a
DataTransformer that allows command in SPSS
syntax to be run. |
static ProcessorType |
STATISTICS_TRANSFORM
Represents a
DataTransformer that transforms data using Statistics syntax. |
static ProcessorType |
SUPER_PROCESS
A
CompositeProcessor which encapsulates nodes in the middle of a stream. |
static ProcessorType |
SUPER_SOURCE
A
CompositeProcessor which encapsulates nodes at the start of a stream. |
static ProcessorType |
SUPER_TERMINAL
A
CompositeProcessor which encapsulates nodes at the end of a stream. |
static ProcessorType |
TIME_INTERVALS
Represents a
DataTransformer that creates evenly spaced time
intervals or appends time labels. |
static ProcessorType |
TIMESERIES_PROCESS
Represents a
DataTransformer that builds and scores a Time Series model. |
static ProcessorType |
TRANSPOSE
Represents a
DataTransformer that converts columns to rows and
rows to columns. |
static 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.. |
static ProcessorType |
UNKNOWN
Represents a node whose type cannot be determined.
|
static ProcessorType |
USER_INPUT
Represents a
DataReader that generates a temporary data set from user-specified values. |
Modifier and Type | Method and Description |
---|---|
static ProcessorType |
addProcessorType(java.lang.String identifier)
Adds a the type with the supplied name.
|
static ProcessorType |
getEnum(java.lang.String name)
Returns the enumeration with the supplied name or
null if
no enumeration exists for the supplied name. |
static ProcessorType[] |
getValues()
Returns an array containing all the valid values for this enumeration class.
|
boolean |
isUnknown()
Returns
true if this value is UNKNOWN . |
static void |
removeProcessorType(java.lang.String identifier)
Removes the specified type.
|
public static final ProcessorType UNKNOWN
public static final ProcessorType IMPORT_DATABASE
DataReader
that imports data from a database.public static final ProcessorType IMPORT_DELIMITED
DataReader
that imports data from a delimited text file.public static final ProcessorType IMPORT_FIXED_COLUMN
DataReader
that imports data from a fixed with column text file.public static final ProcessorType IMPORT_SPSS
DataReader
that imports data from a Statistics ".sav" file.public static final ProcessorType IMPORT_SAS
DataReader
that imports data from a file generated by SAS.public static final ProcessorType USER_INPUT
DataReader
that generates a temporary data set from user-specified values.public static final ProcessorType IMPORT_EXCEL
DataReader
that imports data from an Excel .xls file.public static final ProcessorType IMPORT_DIMENSIONS
DataReader
that imports data from a Data Collection (formerly Dimensions) DSC.public static final ProcessorType IMPORT_EV
DataReader
that imports data from the Enterprise View.public static final ProcessorType EXPORT_DATABASE
DataWriter
that exports data to a database.public static final ProcessorType EXPORT_DELIMITED
DataWriter
that exports data to a delimited text file.public static final ProcessorType EXPORT_SPSS
DataWriter
that exports data to a Statistics ".sav" file.public static final ProcessorType EXPORT_DIMENSIONS
DataWriter
that exports data to a Data Collection (formerly Dimensions) file.public static final ProcessorType EXPORT_EXCEL
DataWriter
that exports data to an Excel file.public static final ProcessorType EXPORT_SAS
DataWriter
that exports data to a SAS format file.public static final ProcessorType AUTO_DATA_PREP
DataTransformer
that automatically prepare data for the
modelling nodepublic static final ProcessorType SELECT
DataTransformer
that selects or discards rows based
on a specified condition.public static final ProcessorType SAMPLE
DataTransformer
that extracts a sample of records.public static final ProcessorType JOIN
DataTransformer
that joins rows from multiple
data sources.public static final ProcessorType BALANCE
DataTransformer
that modifies the ratios of value
categories within a data set.public static final ProcessorType SORT
DataTransformer
that sorts rows into a specified
order.public static final ProcessorType AGGREGATE
DataTransformer
that aggregates data in order to
produce summary information such as row counts, minimum and maximum values
etc.public static final ProcessorType RFM_AGGREGATE
DataTransformer
that prepares transactional data for
Recency, Frequency and Monetary analysis.public static final ProcessorType RFM_ANALYSIS
DataTransformer
that performs Recency, Frequency
and Monetary analysis on aggregated data.public static final ProcessorType DISTINCT
DataTransformer
that removes duplicate rows.public static final ProcessorType APPEND
DataTransformer
that appends rows from multiple
data sources.public static final ProcessorType FILTER
DataTransformer
that is used to rename or
remove columns of data.public static final ProcessorType TYPE
DataTransformer
that gathers metadata and controls
how columns within the data set should be treated e.g., continuous or
discrete, predictor or predicted etc..public static final ProcessorType DERIVE
DataTransformer
that adds new columns to the
data set.public static final ProcessorType FILLER
DataTransformer
that can be used to replace
null
or missing values.public static final ProcessorType ANONYMIZE
DataTransformer
that allows field names and values
to be anonymized to hide their original meaning.public static final ProcessorType SET_TO_FLAG
DataTransformer
that converts columns with multiple
categories into new flag columns that indicate whether a category was present.public static final ProcessorType RESTRUCTURE
DataTransformer
that converts columns with multiple
categories into new columns that indicate whether a category was present.public static final ProcessorType TRANSPOSE
DataTransformer
that converts columns to rows and
rows to columns.public static final ProcessorType TIME_INTERVALS
DataTransformer
that creates evenly spaced time
intervals or appends time labels.public static final ProcessorType HISTORY
DataTransformer
that can include values from previous
rows.public static final ProcessorType FIELD_REORDER
DataTransformer
that allows the order of columns
to be modified.public static final ProcessorType RECLASSIFY
DataTransformer
that allows a set of discrete
values to be mapped to another.public static final ProcessorType BINNING
DataTransformer
that allows numeric values to
be converted to a discrete set of values.public static final ProcessorType SPSSXD
DataTransformer
that allows command in SPSS
syntax to be run.public static final ProcessorType PARTITION
DataTransformer
that adds a new column whose value
identifies the data partition.public static final ProcessorType ENSEMBLE
DataTransformer
that generates output columns based
on a group of predictive models.public static final ProcessorType TIMESERIES_PROCESS
DataTransformer
that builds and scores a Time Series model.public static final ProcessorType STATISTICS_TRANSFORM
DataTransformer
that transforms data using Statistics syntax.public static final ProcessorType BUILD_BACK_PROPAGATION
ModelBuilder
that builds a back-propagation
neural net models.public static final ProcessorType BUILD_C50
ModelBuilder
that builds a decision tree or rule set
using the C5.0 rule induction algorithm.public static final ProcessorType BUILD_KOHONEN
ModelBuilder
that builds a self-organising Kohonen
neural network.public static final ProcessorType BUILD_LINEAR_REGRESSION
ModelBuilder
that builds a linear regression model.public static final ProcessorType BUILD_LOGISTIC_REGRESSION
ModelBuilder
that builds a logistic regression model.public static final ProcessorType BUILD_CART
ModelBuilder
that builds a decision tree using
the C&RT algorithm.public static final ProcessorType BUILD_FACTOR
ModelBuilder
that uses either principal components
analysis or factor analysis to reduce data complexity.public static final ProcessorType BUILD_TWOSTEP
ModelBuilder
that builds a clustering model
using the TwoStep clustering algorithm.public static final ProcessorType BUILD_GRI
ModelBuilder
that builds an association rule set
using the GRI (Generalised Rule Induction) algorithm.public static final ProcessorType BUILD_APRIORI
ModelBuilder
that builds an association rule set
using the Apriori algorithm.public static final ProcessorType BUILD_KMEANS
ModelBuilder
that builds a clustering model
using the K-Means clustering algorithm.public static final ProcessorType BUILD_SEQUENCE
ModelBuilder
that builds a sequence model.public static final ProcessorType BUILD_CARMA
ModelBuilder
that builds an association rule set
using the CARMA algorithm.public static final ProcessorType BUILD_CHAID
ModelBuilder
that builds a decision tree
using the CHAID algorithm.public static final ProcessorType BUILD_QUEST
ModelBuilder
that builds a decision tree
using the QUEST algorithm.public static final ProcessorType BUILD_TIME_SERIES
ModelBuilder
that builds a time series model.public static final ProcessorType BUILD_TEXT_EXTRACTION
ModelBuilder
that builds a text extraction model
using Lexi text extraction.public static final ProcessorType BUILD_MS_DECISION_TREE
ModelBuilder
that builds a decision tree using the
Microsoft Decision Trees algorithm and Microsoft Analysis Services.public static final ProcessorType BUILD_MS_ASSOCIATION_RULES
ModelBuilder
that builds an association rule set using the
Microsoft Association Rules algorithm and Microsoft Analysis Services.public static final ProcessorType BUILD_MS_CLUSTERING
ModelBuilder
that builds a clustering model using the
Microsoft Clustering algorithm and Microsoft Analysis Services.public static final ProcessorType BUILD_MS_NAIVE_BAYES
ModelBuilder
that builds a naive Bayes model using the
Microsoft Naive Bayes algorithm and Microsoft Analysis Services.public static final ProcessorType BUILD_MS_REGRESSION
ModelBuilder
that builds a linear regression model using the
Microsoft Linear Regression and Microsoft Analysis Services.public static final ProcessorType BUILD_MS_NEURAL_NETWORK
ModelBuilder
that builds a neural network model using the
Microsoft Neural Network and Microsoft Analysis Services.public static final ProcessorType BUILD_MS_LOGISTIC
ModelBuilder
that builds a logistic regression model using the
Microsoft Logistic Regression and Microsoft Analysis Services.public static final ProcessorType BUILD_MS_TIME_SERIES
ModelBuilder
that builds a time series model using the
Microsoft Time Series and Microsoft Analysis Services.public static final ProcessorType BUILD_MS_SEQUENCE_CLUSTERING
ModelBuilder
that builds a sequence cluster model using the
Microsoft Sequence Clustering and Microsoft Analysis Services.public static final ProcessorType BUILD_DB2IM_DECISION_TREE
ModelBuilder
that builds a decision tree using the
Decision Trees algorithm in IBM DB2 Intelligent Miner.public static final ProcessorType BUILD_DB2IM_ASSOCIATION_RULES
ModelBuilder
that builds association rules using the
association algorithm in IBM DB2 Intelligent Miner.public static final ProcessorType BUILD_DB2IM_SEQUENCE_RULES
ModelBuilder
that builds sequence rules using the
sequence algorithm in IBM DB2 Intelligent Miner.public static final ProcessorType BUILD_DB2IM_REGRESSION
ModelBuilder
that builds an estimation rule set using the
regression algorithm in IBM DB2 Intelligent Miner.public static final ProcessorType BUILD_DB2IM_CLUSTER
ModelBuilder
that builds a cluster model using the
clustering algorithm in IBM DB2 Intelligent Miner.public static final ProcessorType BUILD_DB2IM_NAIVEBAYES
ModelBuilder
that builds a naive bayes model using the
naive bayes algorithm in IBM DB2 Intelligent Miner.public static final ProcessorType BUILD_DB2IM_LOGISTIC
ModelBuilder
that builds a logistic regression using the
logistic algorithm in IBM DB2 Intelligent Miner.public static final ProcessorType BUILD_DB2IM_TIMESERIES
ModelBuilder
that builds a time series using the
time series algorithm in IBM DB2 Intelligent Miner.public static final ProcessorType BUILD_ORACLE_NAIVE_BAYES
ModelBuilder
that builds a naive Bayes model using the
naive Bayes algorithm in Oracle Data Mining.public static final ProcessorType BUILD_ORACLE_ADAPTIVE_BAYES
ModelBuilder
that builds an adaptive Bayes model using the
adaptive Bayes algorithm in Oracle Data Mining.public static final ProcessorType BUILD_ORACLE_SVM
ModelBuilder
that builds a SVM model using the
Support Vector Machines algorithm in Oracle Data Mining.public static final ProcessorType BUILD_ORACLE_GLM
ModelBuilder
that builds a GLM model using the
Generalized Linear Models in Oracle Data Mining.public static final ProcessorType BUILD_ORACLE_OCLUSTER
ModelBuilder
that builds a OCluster model using the
OCluster algorithm in Oracle Data Mining.public static final ProcessorType BUILD_ORACLE_KMEANS
ModelBuilder
that builds a KMeans model using the
KMeans algorithm in Oracle Data Mining.public static final ProcessorType BUILD_ORACLE_DECISION_TREE
ModelBuilder
that builds a Decision Tree model using the
Decision Tree algorithm in Oracle Data Mining.public static final ProcessorType BUILD_ORACLE_APRIORI
ModelBuilder
that builds an Apriori model using the
Apriori algorithm in Oracle Data Mining.public static final ProcessorType BUILD_ORACLE_NMF
ModelBuilder
that builds a NMF model using the
NMF algorithm in Oracle Data Mining.public static final ProcessorType BUILD_ORACLE_ATTRIBUTE_IMPORTANCE
ModelBuilder
that builds a NMF model using the
NMF algorithm in Oracle Data Mining.public static final ProcessorType BUILD_ORACLE_MDL
public static final ProcessorType BUILD_FEATURE_SELECTION
ModelBuilder
that builds a feature selection modelpublic static final ProcessorType BUILD_ANOMALY_DETECTION
ModelBuilder
that builds an anomaly detection modelpublic static final ProcessorType BUILD_DECISION_LIST
ModelBuilder
that builds a decision list modelpublic static final ProcessorType BUILD_AUTO_CLASSIFIER
ModelBuilder
that builds multiple classification models.public static final ProcessorType BUILD_BINARY_CLASSIFIER
BUILD_AUTO_CLASSIFIER
.ModelBuilder
that builds multiple binary models.public static final ProcessorType BUILD_AUTO_NUMERIC
ModelBuilder
that builds multiple models to predict a numeric outcome.public static final ProcessorType BUILD_RANGE_PREDICTOR
BUILD_AUTO_NUMERIC
.ModelBuilder
that builds multiple models that predict a range.public static final ProcessorType BUILD_AUTO_CLUSTER
ModelBuilder
that builds multiple clustering models.public static final ProcessorType BUILD_SPSS_MODEL
ModelBuilder
that builds Statistics modelspublic static final ProcessorType APPLY_BACK_PROPAGATION
ModelApplier
that applies back-propagation neural net models.public static final ProcessorType APPLY_C50
ModelApplier
that applies models generated by C5.0.public static final ProcessorType APPLY_C5SPLIT_MODEL
ModelApplier
that applies models generated by C5.0.public static final ProcessorType APPLY_KOHONEN
ModelApplier
that applies Kohonen neural net models.public static final ProcessorType APPLY_LINEAR_REGRESSION
ModelApplier
that applies linear regression models.public static final ProcessorType APPLY_LOGISTIC_REGRESSION
ModelApplier
that applies logistic regression models.public static final ProcessorType APPLY_CART
ModelApplier
that applies C&RT models.public static final ProcessorType APPLY_RULE
ModelApplier
that applies generic rule/decision tree models.
These are generated from association rule sets or from imported PMML.public static final ProcessorType APPLY_FACTOR
ModelApplier
that applies PCA or Factor equation models.public static final ProcessorType APPLY_TWOSTEP
ModelApplier
that applies models generated by TwoStep
clustering.public static final ProcessorType APPLY_KMEANS
ModelApplier
that applies K-Means clustering models.public static final ProcessorType APPLY_SEQUENCE
ModelApplier
that applies sequence models.public static final ProcessorType APPLY_APRIORI_ASSOCIATION
ModelApplier
that applies association models generated
by the Apriori association algorithm.public static final ProcessorType APPLY_CARMA_ASSOCIATION
ModelApplier
that applies association models generated
by the CARMA association algorithm.public static final ProcessorType APPLY_CHAID
ModelApplier
that applies CHAID models.public static final ProcessorType APPLY_QUEST
ModelApplier
that applies QUEST models.public static final ProcessorType APPLY_TIME_SERIES
ModelApplier
that applies time series models.public static final ProcessorType APPLY_TEXT_EXTRACTION
ModelApplier
that applies text extraction models.public static final ProcessorType APPLY_MS_DECISION_TREE
ModelApplier
that applies a decision tree built using the
Microsoft Decision Trees algorithm and Microsoft Analysis Services.public static final ProcessorType APPLY_MS_ASSOCIATION_RULES
ModelApplier
that applies an association rule set using the
Microsoft Association Rules algorithm and Microsoft Analysis Services.public static final ProcessorType APPLY_MS_CLUSTERING
ModelApplier
that applies a clustering model using the
Microsoft Clustering algorithm and Microsoft Analysis Services.public static final ProcessorType APPLY_MS_NAIVE_BAYES
ModelApplier
that applies a naive Bayes model using the
Microsoft Naive Bayes algorithm and Microsoft Analysis Services.public static final ProcessorType APPLY_MS_LOGISTIC
ModelApplier
that applies a logistic regression model using the
Microsoft Logistic Regression algorithm and Microsoft Analysis Services.public static final ProcessorType APPLY_MS_REGRESSION
ModelApplier
that applies a linear regression model using the
Microsoft Linear Regression algorithm and Microsoft Analysis Services.public static final ProcessorType APPLY_MS_NEURAL_NETWORK
ModelApplier
that applies a neural network model using the
Microsoft Neural Network algorithm and Microsoft Analysis Services.public static final ProcessorType APPLY_MS_TIME_SERIES
ModelApplier
that applies a time series model using the
Microsoft Time Series algorithm and Microsoft Analysis Services.public static final ProcessorType APPLY_MS_SEQUENCE_CLUSTERING
ModelApplier
that applies a sequence cluster model using the
Microsoft Sequence Clustering algorithm and Microsoft Analysis Services.public static final ProcessorType APPLY_DB2IM_DECISION_TREE
ModelApplier
that applies a decision tree built using the
Decision Trees algorithm in IBM DB2 Intelligent Miner.public static final ProcessorType APPLY_DB2IM_ASSOCIATION
ModelApplier
that applies an association built using the
Association Rule algorithm in IBM DB2 Intelligent Miner.public static final ProcessorType APPLY_DB2IM_SEQUENCE
ModelApplier
that applies an sequence built using the
Sequence Rule algorithm in IBM DB2 Intelligent Miner.public static final ProcessorType APPLY_DB2IM_REGRESSION
ModelApplier
that applies a regression tree built using the
regression algorithm in IBM DB2 Intelligent Miner.public static final ProcessorType APPLY_DB2IM_CLUSTER
ModelApplier
that applies a cluster model built using the
clustering algorithm in IBM DB2 Intelligent Miner.public static final ProcessorType APPLY_DB2IM_NAIVEBAYES
ModelApplier
that applies a naive bayes model built using the
naive bayes algorithm in IBM DB2 Intelligent Miner.public static final ProcessorType APPLY_DB2IM_LOGISTIC
ModelApplier
that applies a logistic regression model built using the
logistic algorithm in IBM DB2 Intelligent Miner.public static final ProcessorType APPLY_ORACLE_NAIVE_BAYES
ModelApplier
that applies a naive Bayes model built using the
naive Bayes algorithm in Oracle Data Mining.public static final ProcessorType APPLY_ORACLE_ADAPTIVE_BAYES
ModelApplier
that applies an adaptive Bayes model built using the
adaptive Bayes algorithm in Oracle Data Mining.public static final ProcessorType APPLY_ORACLE_SVM
ModelApplier
that applies an SVM model built using the
Support Vector Machines algorithm in Oracle Data Mining.public static final ProcessorType APPLY_ORACLE_GLM
ModelApplier
that applies an GLM model built using the
Generalized Linear Models algorithm in Oracle Data Mining.public static final ProcessorType APPLY_ORACLE_KMEANS
ModelApplier
that applies a KMeans model built using the
KMeans algorithm in Oracle Data Mining.public static final ProcessorType APPLY_ORACLE_OCLUSTER
ModelApplier
that applies an OCluster model built using the
OCluster algorithm in Oracle Data Mining.public static final ProcessorType APPLY_ORACLE_NMF
ModelApplier
that applies an NMF model built using the
NMF algorithm in Oracle Data Mining.public static final ProcessorType APPLY_ORACLE_DECISION_TREE
ModelApplier
that applies a decision tree model built using the
decision tree algorithm in Oracle Data Mining.public static final ProcessorType APPLY_ORACLE_ATTRIBUTE_IMPORTANCE
ModelApplier
that applies a decision tree model built using the
decision tree algorithm in Oracle Data Mining.public static final ProcessorType APPLY_FEATURE_SELECTION
ModelApplier
that applies feature selection models.public static final ProcessorType APPLY_ANOMALY_DETECTION
ModelApplier
that applies anomaly detection models.public static final ProcessorType APPLY_DECISION_LIST
ModelApplier
that applies decision list models.public static final ProcessorType APPLY_CATEGORIZE
ModelApplier
that applies categorize models.public static final ProcessorType APPLY_SPSS_MODEL
ModelApplier
that applies spss models.public static final ProcessorType APPLY_AUTO_NUMERIC
ModelApplier
that applies auto numeric models.public static final ProcessorType APPLY_AUTO_CLASSIFIER
ModelApplier
that applies auto classifier models.public static final ProcessorType APPLY_AUTO_CLUSTER
ModelApplier
that applies auto cluster models.public static final ProcessorType BUILD_SCATTER_PLOT
GraphBuilder
that builds scatter plots. This shows
show the relationship between numeric columns.public static final ProcessorType BUILD_TIME_PLOT
GraphBuilder
that builds time plots. This plots
one or more series over timepublic static final ProcessorType BUILD_HISTOGRAM
GraphBuilder
that builds a histogram. This show the occurrence of
values for numeric columns.public static final ProcessorType BUILD_DISTRIBUTION
RowSetBuilder
that builds a distribution table. This shows
the occurence of distinct values within a column.public static final ProcessorType BUILD_COLLECTION
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.public static final ProcessorType BUILD_EVALUATION
GraphBuilder
that builds an evaluation graph. This shows
provides an easy way to evaluate and compare predictive models.public static final ProcessorType BUILD_WEB
GraphBuilder
that builds a web or directed web graph. This
shows the strength of relationships between values of two or more discrete columns.public static final ProcessorType BUILD_MULTI_PLOT
GraphBuilder
that builds a multi-plot graph. This shows
the relationship between multiple Y columns over a single X column.public static final ProcessorType BUILD_GRAPH_BOARD
GraphBuilder
that builds a graph board graph.public static final ProcessorType BUILD_MAP
GraphBuilder
that builds a graph geo-map.public static final ProcessorType BUILD_TABLE
RowSetBuilder
that builds a table showing data as
rows and columns.public static final ProcessorType BUILD_CUSTOM_TABLE
ReportBuilder
that builds an SPSS custom table.public static final ProcessorType BUILD_MATRIX
RowSetBuilder
that builds a matrix. This is a table used
to show relationships between columns.public static final ProcessorType BUILD_ANALYSIS
ReportBuilder
that builds a model analysis report. This is used
to analyze predictive models to evaluate their ability to generate accurate prediction.public static final ProcessorType BUILD_DATA_AUDIT
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.public static final ProcessorType BUILD_TRANSFORM
RowSetBuilder
that builds a table containing transforms for each field.public static final ProcessorType BUILD_STATISTICS
ReportBuilder
that builds a statistics report. This is used
to get summary statistics for individual columns and correlations between columns.public static final ProcessorType BUILD_STATISTICS_OUTPUT
ReportBuilder
that builds Statistics outputpublic static final ProcessorType BUILD_MEANS
ReportBuilder
that builds a means report. This is used
to compare means between pairs of fields, or between groups within a field.public static final ProcessorType BUILD_REPORT
ReportBuilder
that builds a basic, user specified report.public static final ProcessorType BUILD_QUALITY
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.public static final ProcessorType PUBLISHER
TerminalProcessor
that allows streams
to be "published" for subsequent deployment.public static final ProcessorType SET_GLOBALS
TerminalProcessor
that allows global values to be
calculated and be made globally accessible.public static final ProcessorType SUPER_SOURCE
CompositeProcessor
which encapsulates nodes at the start of a stream.CompositeProcessorType.INITIAL
public static final ProcessorType SUPER_PROCESS
CompositeProcessor
which encapsulates nodes in the middle of a stream.CompositeProcessorType.PROCESS
public static final ProcessorType SUPER_TERMINAL
CompositeProcessor
which encapsulates nodes at the end of a stream.CompositeProcessorType.TERMINAL
public static final ProcessorType INPUT_CONNECTOR
DiagramConnector
which routes input to a composite diagram.
A connector cannot be created but is obtained from a diagram.public static final ProcessorType OUTPUT_CONNECTOR
DiagramConnector
which routes output from a composite diagram.
A connector cannot be created but is obtained from a diagram.public static ProcessorType getEnum(java.lang.String name)
null
if
no enumeration exists for the supplied name.name
- the enumeration namenull
public static ProcessorType[] getValues()
public static ProcessorType addProcessorType(java.lang.String identifier)
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.identifier
- null
removeProcessorType(String)
public static void removeProcessorType(java.lang.String identifier)
identifier
- the type to be removedaddProcessorType(String)
(C) Copyright IBM Corp. 1994, 2015. All Rights Reserved.