Actions by Name

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
about	Shows the status of the server	Builtins	builtins
accessPersonalCaslibs	Provides administrative access to all personal caslibs (CASUSER and CASUSERHDFS)	Access Control	accessControl
actionSetFromTable	Restores a user-defined action set from a saved table	Builtins	builtins
actionSetInfo	Shows the build information from loaded action sets	Builtins	builtins
actionSetToTable	Makes an in-memory table from a user-defined action set	Builtins	builtins
actionstatus	Get action status for a session	Session Methods	session
addCaslib	Adds a new caslib to enable access to a data source	Table	table
addCaslibSubdir	Creates a subdirectory in an existing caslib	Table	table
addFmtLib	Adds a format library	Session Properties	sessionProp
addFormat	Adds a format to a format library	Session Properties	sessionProp
addLayer	Adds a layer to a Deep Learning model	Deep Learning	deepLearn
addNode	Adds a machine to the server	Builtins	builtins
addNodeStatus	Lists details about machines currently being added to the server	Session Methods	session
addPrototypes	Adds the PROTO definitions and stores them in a table	FCMP	fcmpact
addRegion	Adds or replaces custom regions for the S3 environment	S3	s3
addRoutines	Adds the FCMP routines and stores them in a table	FCMP	fcmpact
addTable	Add a table by sending it from the client to the server	Table	table
addUserActionSetPath	Adds a caslib to the user-defined action set search path	Builtins	builtins
aggregate	Performs aggregation on selected variables	Aggregation	aggregation
alJoin	Joins the data table and the annotation table.	Active Machine Learning	activeLearn
alterTable	Rename tables, change labels and formats, drop columns	Table	table
aluc	Performs active learning using uncertainty, relevance, or random sampling.	Active Machine Learning	activeLearn
analyzeMissingPatterns	Missing pattern analysis	Data Science Pilot	dataSciencePilot
annCode	Generates DATA step scoring code from an artificial neural network model	Neural Network	neuralNet
annotateImages	Annotates images in a CAS table with metadata contained in the table	Image	image
annScore	Scores a table using an artificial neural network model	Neural Network	neuralNet
annTrain	Trains an artificial neural network	Neural Network	neuralNet
append	Append one table to another	Table	table
appendIndex	Loads data to an index after the buildIndex action is performed	Search	search
applyCategory	Categorizes text using a category model(MCO file)	Text Analytics Rule Score	textRuleScore
applyConcept	Performs concept extraction using a concept extraction model (LI file)	Text Analytics Rule Score	textRuleScore
applySent	Computes the document level sentiment polarity (positive, negative, neutral) and sentiment score for the input textual data	Sentiment Analysis	sentimentAnalysis
applySentimentConcepts	Uses a LITI model and concept weights to score text for a document-level sentiment	Sentiment Analysis	sentimentAnalysis
applyWordVector	Applies a word vector model to score documents. This action requires a SAS Visual Text Analytics license	Text Parse	textParse
arima	Provides action for ARIMA models	Univariate Time Series Analysis	uniTimeSeries
assess	Assess and compare models	Percentile	percentile
assessBias	Calculate bias metrics for predictive models.	Fair AI Tools	fairAITools
assumeRole	Assumes a role	Access Control	accessControl
attribute	Manages extended table attributes	Table	table
augmentImages	Augment images by creating patches and mutating them	Image	image

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
bartGauss	Fits Bayesian additive regression trees models for normally distributed response data.	Bayesian Additive Regression Trees	bart
bartScore	Creates a table on the server that contains results from scoring observations by using a fitted Bayesian additive regression trees model.	Bayesian Additive Regression Trees	bart
bartScoreMargin	Computes predictive margins by using a fitted Bayesian additive regression trees model.	Bayesian Additive Regression Trees	bart
batchresults	Change current action to batch results	Session Methods	session
biconnectedComponents	Calculates the biconnected components and articulation points of a graph	Network	network
biconnectedComponents	Calculates the biconnected components and articulation points of a graph	Network Optimization	optNetwork
binning	Performs unsupervised variable discretization	Data Preprocess	dataPreprocess
bnet	Bayesian Net Classifier Action	Bayesian Net Classifier	bayesianNetClassifier
boxChart	Produces box charts	Statistical Process Control	spc
boxPlot	Calculate quantiles, high and low whiskers, and outliers	Percentile	percentile
brScore	Scores text data based on Boolean rules	Boolean Rule	boolRule
brTrain	Extracts Boolean rules from text	Boolean Rule	boolRule
buildAutoComplete	Builds an auto complete index table for auto complete queries	Search Analytics	searchAnalytics
buildIndex	Creates an empty index using a schema (the first step of Search)	Search	search
buildModel	Creates an empty Deep Learning model	Deep Learning	deepLearn
buildSurface	Builds surfaces from 3-D biomedical images	BioMedImage	bioMedImage
buildTermIndex	Creates a term index table for significant terms	Search Analytics	searchAnalytics
buildTextAstore	Builds a category astore model, a concept astore model, and a sentiment astore model	Text Analytics Rule Development	textRuleDevelop

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
caEffect	Provides model-agnostic methods of estimating potential outcome means and causal effects of categorical treatments.	Causal Analysis	causalanalysis
calculateErrorRate	Calculates the error rates of characters, words, and sentences by comparing hypothesis and reference transcripts	Language Model	langModel
caslibInfo	Shows caslib information	Table	table
catTrans	Groups and encodes categorical variables using unsupervised and supervised grouping techniques	Data Preprocess	dataPreprocess
cChart	Produces c charts	Statistical Process Control	spc
cdm	Creates requested samples of compound distribution	Aggregate Loss Modeling	cdm
centrality	Calculates the centrality metrics of a graph	Network	network
check	Checks whether an ONNX model is valid	Analytic Store Scoring	aStore
checkInAllObjects	Releases all objects that are checked out. Use this action if the current client session does not have a transaction	Access Control	accessControl
checkOutObject	Reserves an object (and all of its children) for update by only the current client session. Prevents an object (and all of its parents) from being checked out exclusively by another session if checkOutType=Shared	Access Control	accessControl
clique	Calculates the maximal cliques of a graph	Network	network
clique	Calculates the maximal cliques of a graph	Network Optimization	optNetwork
columnInfo	Shows column information	Table	table
combineFmtLibs	Combine a list of format libraries into a single format library.	Session Properties	sessionProp
commitTransaction	Persists all changes in an access control transaction to the server, releases all checked-out objects, and terminates the transaction	Access Control	accessControl
community	Detects communities of a graph	Network	network
compare	Compares two tables by computing the index and frequency of each group, cumulative frequency, and the index of each record within its group	Simple Analytics	simple
compareImages	Compares images in one CAS table with those in another	Image	image
compileCategory	Builds a categories model	Text Analytics Rule Development	textRuleDevelop
compileConcept	Builds a concept model using the concept configuration and predefined entities	Text Analytics Rule Development	textRuleDevelop
completeBackup	Flags a backup as complete	Access Control	accessControl
computeFeatures	Computes various features for audio files loaded into a CAS table	Audio	audio
condenseImages	Condenses pixel values into a CAS image table.	Image	image
connectedComponents	Calculates the connected components of a graph	Network	network
connectedComponents	Calculates the connected components of a graph	Network Optimization	optNetwork
convertMps	Converts a two-column data table to a seven-column MPS-format data table	Optimization	optimization
copulaFit	Estimates the parameters for a specified copula type	Copula Modeling	copula
copulaSimulate	Simulates data from a specified copula model	Copula Modeling	copula
copulaViewStore	Displays the model and estimates that are preserved in a specified item store	Copula Modeling	copula
copyModelExternal	Copies a model from a CAS table to an external database	Model Publishing and Scoring	modelPublishing
copyTable	Copy one table to another	Table	table
core	Calculates the core decomposition of a graph	Network	network
correlation	Computes Pearson product-moment correlations.	Simple Analytics	simple
countregFitModel	Analyzes regression models in which the dependent variable takes nonnegative integer or count values and typically represents the number of times an event occurs	Count Data Regression Modeling	countreg
countregViewStore	Displays information about a regression model that is restored from an item store	Count Data Regression Modeling	countreg
cox	Fit Cox regression model	Proportional Hazards Regression Modeling	phreg
createBackup	Creates a backup if one is not in progress	Access Control	accessControl
crfScore	Score documents against CRF Model	Text Analytics Conditional Random Fields	conditionalRandomFields
crfTrain	Train CRF Model	Text Analytics Conditional Random Fields	conditionalRandomFields
crossTab	Performs one-way or two-way tabulations	Simple Analytics	simple
crossValidate	Action to perform cross validation with specified machine learning actions	Machine Learning Tools	mlTools
cspade	Performs sequence mining using cSpade algorithm	Sequence Rule Mining	sequence
cycle	Calculates the cycles of a graph	Network	network
cycle	Calculates the cycles of a graph	Network Optimization	optNetwork

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
dataSegment	Clusters data with k-means clustering and segments data by cluster ID	Smart Data Set Analysis and Processing	smartData
deduplicate	Eliminates rows that have duplicate or unique group-by variable values	Duplicate Management	deduplication
deepcausal	Provides action for deep learning causal inference	Econometrics by Using Deep Learning Methods	deepecon
deepprice	Provides action for price modeling by using deep learning methods	Econometrics by Using Deep Learning Methods	deepecon
defineActionSet	Defines a new user-defined action set	Builtins	builtins
deleteDAList	Deletes a denylist or an allowlist	Access Control	accessControl
deleteDocuments	Deletes a portion of documents from an index	Search	search
deleteFormat	Deletes a format from a format library	Session Properties	sessionProp
deleteModel	Deletes a model from a model table in CAS	Model Publishing and Scoring	modelPublishing
deleteModelExternal	Deletes a model from an external database	Model Publishing and Scoring	modelPublishing
deleteRows	Delete matching rows from table	Table	table
deleteSource	Delete a table or file from a caslib's data source	Table	table
describe	Describes some of the contents of the analytic store	Analytic Store Scoring	aStore
describeActionSet	Describes a user-defined action set	Builtins	builtins
describeView	Returns results that can re-create view definition	Table	table
detectInteractions	Variable interaction detection and ranking	Data Science Pilot	dataSciencePilot
discretize	Performs supervised and unsupervised variable discretization	Data Preprocess	dataPreprocess
distinct	Computes the distinct number of values of the variables in the variable list	Simple Analytics	simple
dlExportModel	Exports a Deep Learning model	Deep Learning	deepLearn
dlImportModelWeights	Imports model weights from an external source	Deep Learning	deepLearn
dlJoin	Joins the data table and the annotation table	Deep Learning	deepLearn
dlLabelTarget	Assigns the target label information	Deep Learning	deepLearn
dlmzExport	exports a Deep Learning model.	Model Zoo	dlmodelzoo
dlmzScore	scores a Deep Learning model.	Model Zoo	dlmodelzoo
dlmzTrain	trains a Deep Learning model.	Model Zoo	dlmodelzoo
dlPrune	Prunes a layer in a Deep Learning model	Deep Learning	deepLearn
dlScore	Scores a table using a Deep Learning model	Deep Learning	deepLearn
dlTrain	Trains a Deep Learning model	Deep Learning	deepLearn
dlTune	Tunes hyperparameters for Deep Learning model	Deep Learning	deepLearn
dnnCode	Generates DATA step scoring code from a deep neural network model	Deep Neural Network	deepNeural
dnnExportModel	Exports a deep fully connected neural network model	Deep Neural Network	deepNeural
dnnScore	Scores a table with a deep neural network model	Deep Neural Network	deepNeural
dnnTrain	Trains a deep neural network	Deep Neural Network	deepNeural
download	Downloads a remote store to a local store	Analytic Store Scoring	aStore
dropActionSet	Drops a user-defined action set	Builtins	builtins
dropCaslib	Drops a caslib	Table	table
dropFmtLib	Drops a format library from global scope for all sessions	Session Properties	sessionProp
dropRegion	Removes custom regions for the S3 environment	S3	s3
dropRole	Relinquishes a role	Access Control	accessControl
dropTable	Drops a table	Table	table
dropUserActionSetPath	Removes a caslib from the user-defined action set search path	Builtins	builtins
dsAutoMl	Automated machine learning pipeline exploration, execution and ranking.	Data Science Pilot	dataSciencePilot
dtreeCode	Generates DATA step scoring code from a decision tree model	Decision Tree	decisionTree
dtreeExportModel	Export the aStore model for a tree model table	Decision Tree	decisionTree
dtreeMerge	Merges decision tree nodes	Decision Tree	decisionTree
dtreePrune	Prune a decision tree	Decision Tree	decisionTree
dtreeScore	Scores a table using a decision tree model	Decision Tree	decisionTree
dtreeSplit	Splits decision tree nodes	Decision Tree	decisionTree
dtreeTrain	Trains a decision tree	Decision Tree	decisionTree
dynBnet	Dynamic Bayesian Network Action	Dynamic Bayesian Network	dynamicBayesianNetwork

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
echo	Prints the supplied parameters to the client log	Builtins	builtins
ecm	Creates a sample of the enterprise-wide loss by combining the copula simulation with the marginal empirical distributions of losses in business lines	Economic Capital Modeling	ecm
eig	Extracts principal components by using the eigenvalue decomposition method	Principal Component Analysis	pca
endSession	Ends the current session	Session Methods	session
esm	Provides action for exponential smoothing models	Univariate Time Series Analysis	uniTimeSeries
eventingInfo	Reports whether data events will be generated for global-scope tables and session-scope tables for the current session	Builtins	builtins
ewmaChart	Produces exponentially weighted moving average charts	Statistical Process Control	spc
execDirect	Submits a SAS FedSQL language statement for immediate execution	FedSQL	fedSql
executeProgram	Executes arbitrary programs inside the SAS Embedded Process for Spark	SAS Embedded Process for Spark	sparkEmbeddedProcess
expectedRange	Computes the range and moving relative range for each time series observation in the input data	Time Filters	timeFilters
exploreCorrelation	Explore linear and nonlinear correlation among the variables.	Data Science Pilot	dataSciencePilot
exploreData	Exploration, automatic variable analysis and grouping using comprehensive statistical profiling of the variables.	Data Science Pilot	dataSciencePilot
exportTextModel (buildTextAstore)	Builds a category astore model, a concept astore model, and a sentiment astore model	Text Analytics Rule Development	textRuleDevelop
extract	Extracts the saved ONNX blob from a remote saved ONNX store	Analytic Store Scoring	aStore
extractDetectedObjects	Extracts object detections.	Image	image

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
factmac	Learns a factorization machine model	Factorization Machine	factmac
faNFactors	Determines the number of factors	Factor Analysis	factorAnalysis
fastIca	Computes independent components by using the fastICA method	Independent Component Analysis	ica
fastknn	Performs k-nearest neighbor search	Fast k-Nearest Neighbor	fastKnn
featureMachine	Automated feature transformation and generation engine	Data Science Pilot	dataSciencePilot
fetch	Fetches rows from a table or view	Table	table
fetchImages	Fetch images for displaying	Image	image
fetchresult	Fetch the specified saved result for a session	Session Methods	session
fileInfo	Lists the files in a caslib's data source	Table	table
filterDesign	Designs a digital filter	Time Filters	timeFilters
fism	Applies the FP-growth algorithm for frequent item sets	Association Rule Mining	ruleMining
flattenImages (flattenImageTable)	Convert image tables into wide format (one column per pixel)	Image	image
flattenImageTable	Convert image tables into wide format (one column per pixel)	Image	image
flushresult	Flush the saved result for this session	Session Methods	session
fmtLibCntlIn	Create a format library from a control table	Session Properties	sessionProp
fmtLibCntlOut	Return a control table for a format library	Session Properties	sessionProp
forecast	Automatically forecasts a time series	Time Series Processing	timeData
forestCode	Generates DATA step scoring code from a forest model	Decision Tree	decisionTree
forestScore	Scores a table using a forest model	Decision Tree	decisionTree
forestTrain	Trains a forest. This action requires a SAS Visual Data Mining and Machine Learning license	Decision Tree	decisionTree
freq	Generates a frequency distribution for one or more variables	Simple Analytics	simple
freqTab	Constructs the frequency and crosstabulation tables	Frequency and Crosstabulation Analysis	freqTab
frontierCost	Action for analyzing stochastic frontier cost models.	Stochastic Frontier Production and Cost Modeling	frontier
frontierProd	Action for analyzing stochastic frontier production models.	Stochastic Frontier Production and Cost Modeling	frontier

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
gampl	Fits generalized additive models by penalized likelihood	Generalized Additive Models	gam
gamScore	Creates a table on the server that contains results from scoring observations by using a fitted model.	Generalized Additive Models	gam
gamSelect	Performs generalized additive model building	Generalized Additive Models	gam
gbtreeCode	Generates DATA step scoring code from a gradient boosting tree model	Decision Tree	decisionTree
gbtreeScore	Scores a table using a gradient boosting tree model	Decision Tree	decisionTree
gbtreeTrain	Trains a gradient boosting tree. This action requires a SAS Visual Data Mining and Machine Learning license	Decision Tree	decisionTree
generateIds	Generates unique identifiers (IDs) for data in a CAS input table	Text Management	textManagement
generateShadowFeatures	Generate shadow features.	Data Science Pilot	dataSciencePilot
genmod	Fits generalized linear regression models	Regression	regression
genmodScore	creates a table on the server that contains results from scoring observations by using a fitted model	Regression	regression
getCacheInfo	Retrieves information about CAS disk cache usage, the CAS server directory name, and the file system path for that cache	Builtins	builtins
getInfo	Performs time information analysis such as time interval, alignment, and seasonality, based on values of the specified time ID variable	Time Series Information Analysis	tsInfo
getLicensedProductInfo	Shows the information for licensed SAS products	Builtins	builtins
getLicenseInfo	Shows the license information for a SAS product	Builtins	builtins
getSchema	Gets the schema of an index	Search	search
getServOpt	displays the value of a server option	Server Properties	configuration
getSessOpt	Displays the value of a session option	Session Properties	sessionProp
glm	Fits linear regression models using the method of least squares	Regression	regression
glmScore	creates a table on the server that contains results from scoring observations by using a fitted model	Regression	regression
gmm	Gaussian mixture model	Nonparametric Bayes	nonParametricBayes
gpClass	Gaussian process classification	Nonparametric Bayes	nonParametricBayes
gpReg	Learns a Gaussian process regression model	Nonparametric Bayes	nonParametricBayes
graphMultiReg	GRAPHMULTIREG Action	Generalized Linear Multitask Learning	gleam
groupBy	Builds BY groups in terms of the variable value combinations given the variables in the variable list	Simple Analytics	simple
groupByInfo	Computes the index and frequency of each group, and the index of each record within its group	Simple Analytics	simple
gvarcluster	Provides an action for performing variable clustering and providing undirected network for mining relationship among variables	Graphical Variable Clustering	gVarCluster

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
help	Shows the parameters for an action or lists all available actions	Builtins	builtins
highCardinality	Performs randomized cardinality estimation	Data Preprocess	dataPreprocess
histogram	Generates histogram bins and simple bin-based statistics for numeric variables	Data Preprocess	dataPreprocess
history	Shows the actions that were run in this session	Builtins	builtins
hmm	Learns and infers hidden Markov models	Hidden Markov Model	hiddenMarkovModel
httpAddress	Shows the HTTP address for the server monitor	Builtins	builtins
hypergroup	hyperGroup: Find hypergroups, graph layouts, colors, communities, centralities, shortests paths, and create structural and nBody graphs. thePlotThickens: used to scatter-plot or geo-cluster a large number of points.	Hypergroup	hyperGroup

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
identifyLanguage	Specifies the language of a text document	Text Management	textManagement
IdentifySpeakers	Identify speakers	Language Model	langModel
iml	Submits SAS/IML programs in CAS	IML	iml
importQKBFromCaslib	Imports a QKB from a caslib	QKB	qkb
importQKBFromURL	Imports a QKB from a URL	QKB	qkb
impute	Performs data matrix (variable) imputation	Data Preprocess	dataPreprocess
index	Create indexes on one or more table variables	Table	table
installActionSet	Loads an action set in new sessions automatically	Builtins	builtins
irChart	Produces individual measurements and moving range charts	Statistical Process Control	spc
isAuthorized	Shows whether access is authorized	Access Control	accessControl
isAuthorizedActions	Shows whether access is authorized to actions	Access Control	accessControl
isAuthorizedColumns	Shows whether access is authorized to columns	Access Control	accessControl
isAuthorizedTables	Shows whether access is authorized to tables	Access Control	accessControl
isInRole	Shows whether a role is assumed	Access Control	accessControl
iterate	Performs active learning iteratively and assesses the model performance.	Active Machine Learning	activeLearn
itergs	Extracts principal components by using the iterative method based on Gram-Schmidt orthogonalization (ITERGS)	Principal Component Analysis	pca

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
kClus	Provides k-means clustering	Clustering	clustering
kde	Computes kernel density estimation	Data Preprocess	dataPreprocess
kfold	K-fold partitioning.	Sampling and Partitioning	sampling
kPca	Performs kernel PCA training	Kernel Principal Component Analysis	kernelPca
ktMonitor	Monitors KT charts	KT Chart	ktChart
ktTrain	Trains KT charts	KT Chart	ktChart

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
labelSpread	Provides actions for semisupervised learning	Graph-Based Semisupervised Learning	graphSemiSupLearn
LAP	Calculates the minimum-cost linear assignment (minimum link-weighted matching) of a bipartite graph	Network Optimization	optNetwork
ldaScore	Score a table using a latent Dirichlet allocation topic model	LDA Topic Modeling	ldaTopic
ldaTrain	Train a latent Dirichlet allocation topic model	LDA Topic Modeling	ldaTopic
lgbmTrain	Performs high-performance gradient boosting.	Light Gradient Boosting	lightGradBoost
linearAssignment (LAP)	Calculates the minimum-cost linear assignment (minimum link-weighted matching) of a bipartite graph	Network Optimization	optNetwork
linearExplainer	Uses linear models to explain already trained models. Supports global linear surrogates as well as the local methods: LIME and KERNEL SHAP.	Explain Model	explainModel
listAcsActionSet	Lists access controls for an action or action set	Access Control	accessControl
listAcsData	Lists access controls for caslibs, tables, and columns	Access Control	accessControl
listactionq	Lists the queued actions for a session	Session Methods	session
listAllPrincipals	Lists all principals that have explicit access controls	Access Control	accessControl
listFmtLibs	Lists the format libraries that are associated with the session	Session Properties	sessionProp
listFmtRanges	Displays the range information for a format	Session Properties	sessionProp
listFmtSearch	Shows the format library search order	Session Properties	sessionProp
listFmtValues	Shows the values for a format	Session Properties	sessionProp
listMetadata	Lists the metadata for caslibs, tables, columns, action sets, actions, or administrators	Access Control	accessControl
listNodes	Shows the host names used by the server	Builtins	builtins
listQKBDefinitions	Lists definitions for a locale	QKB	qkb
listQKBLocales	Lists all available locales	QKB	qkb
listQKBs	Lists all available QKBs	QKB	qkb
listQKBTokens	Lists tokens for a definition and locale	QKB	qkb
listRegions	Lists all defined regions for the S3 environment	S3	s3
listresults	Lists the saved results for a session	Session Methods	session
listServOpts	Displays the server options and server values	Server Properties	configuration
listSessions	Displays a list of the sessions on the server	Session Methods	session
listSessOpts	Displays the session options and session values	Session Properties	sessionProp
lmDecode	Decodes recurrent neural network (RNN) scores by using the specified language model	Language Model	langModel
lmImport	Imports an nGram language model	Language Model	langModel
loadActionSet	Loads an action set for use in this session	Builtins	builtins
loadAudio	Loads audio files into a CAS table	Audio	audio
loadDataSource	Loads one or more data source interfaces	Table	table
loadDicomData	Loads DICOM data	BioMedImage	bioMedImage
loadFcmpLibs	Loads FCMP tables in the session CMP library	FCMP	fcmpact
loadFcmpTable	Loads a single FCMP table into memory	FCMP	fcmpact
loadGraph	Loads a graph into memory	Network	network
loadGraph	Loads a graph into memory	Network Optimization	optNetwork
loadImages	Loads images	Image	image
loadMps	Loads the MPS file string to a data table	Optimization	optimization
loadQKB	Loads a QKB into memory	QKB	qkb
loadTable	Loads a table from a caslib's data source	Table	table
loadTableFromDisk	Loads a sentiment analysis model (SAM) binary file, a category model (MCO) binary file, or a concept model (LI) binary file from the client machine, and creates a CAS table containing the binary file	Text Analytics Rule Score	textRuleScore
log	Shows and modifies logging levels	Builtins	builtins
logistic	Fits logistic regression models	Regression	regression
logisticAssociation	computes indices of rank correlation between predicted probabilities and observed responses used for assessing the predictive ability of a model	Regression	regression
logisticCode	writes SAS DATA step code for computing predicted values of the fitted model	Regression	regression
logisticLackfit	computes the Hosmer and Lemeshow test	Regression	regression
logisticOddsRatio	creates a table that compares subpopulations by using odds ratios.	Regression	regression
logisticScore	creates a table on the server that contains results from scoring observations by using a fitted model	Regression	regression
logisticType3	computes Type 3 or Joint tests that all parameters for an effect are zero	Regression	regression
longToWide	Reshapes a table containing thin records into a table containing wide records.	Data Shaping	dataShaping

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
maChart	Produces uniformly weighted moving average charts	Statistical Process Control	spc
marketattribution	Performs market analysis by using market attribution models.	Market Attribution	marketattribution
match	Data Management Matching	Entity Resolution	entityRes
matchImages	Match a query image against the images in a table	Image	image
maxFlow	Calculates the maximum flow of a graph	Network Optimization	optNetwork
mbanalysis	Performs rule generation for market basket analysis	Association Rule Mining	ruleMining
mbcFit	Performs model-based clustering using the EM algorithm	Model-Based Clustering	mbc
mbcScore	Produces clustering weights using a previously stored model	Model-Based Clustering	mbc
MCF	Calculates the minimum-cost network flow of a graph	Network Optimization	optNetwork
mChart	Produces charts of subgroup medians	Statistical Process Control	spc
mdSummary	Calculates multidimensional summaries of numeric variables	Simple Analytics	simple
metrics	Displays the metrics for each action after it executes	Session Methods	session
minCostFlow (MCF)	Calculates the minimum-cost network flow of a graph	Network Optimization	optNetwork
minCut	Calculates the minimum cut of a graph	Network Optimization	optNetwork
minSpanTree (MST)	Calculates the minimum spanning tree of a graph	Network Optimization	optNetwork
mitigateBias	Mitigate bias during the training of predictive models.	Fair AI Tools	fairAITools
mixed	Fits linear mixed models	Mixed Modeling	mixed
modelComposer	Automatically tunes hyperparameters for multiple models types concurrently, with optimal allocations.	Autotune	autotune
modelInfo	Displays model information	Deep Learning	deepLearn
modelMatrix	creates a table on the server that contains the design matrix associated with a given model statement.	Regression	regression
modifyQueue	Modifies the action response queue settings	Builtins	builtins
mrChart	Produces charts of subgroup medians and ranges	Statistical Process Control	spc
MST	Calculates the minimum spanning tree of a graph	Network Optimization	optNetwork
mvOutlier	Identifies outliers and leverage points in a robust principal component analysis for any numeric multivariate data set	Robust Multivariate Outlier Detection	mvOutlier
mwpca	Performs principal component analysis based on a series of moving windows	Robust PCA	robustPca

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
nGramCount	Counts the nGrams in the nGram table	Language Model	langModel
nGramCountToLm	Creates a language model from an nGram table	Language Model	langModel
nipals	Extracts principal components by using the nonlinear iterative partial least squares (NIPALS) method	Principal Component Analysis	pca
nlmod	Fits nonlinear regression models using either nonlinear least squares or maximum likelihood	Nonlinear Models	nonlinear
nmf	Performs factorization of a nonnegative data matrix as the product of two low-rank nonnegative matrices	Nonnegative Matrix Factorization	nmf
nodeSimilarity	Calculates node similarity measures based on graph structure	Network	network
npChart	Produces np charts	Statistical Process Control	spc
numRows	Shows the number of rows in a Cloud Analytic Services table	Simple Analytics	simple

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
operActionMd	Adds, deletes, and modifies action metadata	Access Control	accessControl
operActionSetMd	Adds, deletes, and modifies action set metadata	Access Control	accessControl
operAdminMd	Assigns users and groups to roles and modifies administrator metadata	Access Control	accessControl
operColumnMd	Adds, deletes, and modifies column metadata	Access Control	accessControl
operDAPaths	Configures a denylist or allowlist of paths	Access Control	accessControl
operTableMd	Adds, deletes, and modifies table metadata	Access Control	accessControl
optBinning	Action optBinning	Risk Modeling and Decisioning	riskmd
outlier	Performs outlier detection and treatment	Data Preprocess	dataPreprocess
oversample	Samples a user-specified proportion of data from the event level and adjusts the ratio between rare events and non-rare events to a user-specified ratio	Sampling and Partitioning	sampling

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
panel	Fits panel data regression models	Panel Data Regression Modeling	panel
paraCoord	Generates a parallel coordinates plot of the variables in the variable list	Simple Analytics	simple
partialDependence	Computes the partial dependence of an already trained model.	Explain Model	explainModel
partition	Partitions a table	Table	table
path	Calculates the paths of a graph	Network	network
path	Calculates the paths of a graph	Network Optimization	optNetwork
pathing	Perform pathing analysis	Sequence Rule Mining	sequence
patternMatch	Queries the graph for pattern matches	Network	network
pChart	Produces p charts	Statistical Process Control	spc
percentile	Calculate quantiles and percentiles	Percentile	percentile
ping	Sends a single request to the server to confirm that the connection is working	Builtins	builtins
pls	Fits models by using any one of a number of linear predictive methods, including partial least squares	Partial Least Squares	pls
processBioMedImages	Processes biomedical images	BioMedImage	bioMedImage
processImages	Performs core image processing functions	Image	image
profile	Provides profiling metrics on a table	Data Discovery	dataDiscovery
profileText	Profiles text data and generates descriptive statistics. This action requires a SAS Visual Text Analytics license	Text Management	textManagement
projection	Calculates the projection of multipartite network to yield a unipartite network	Network	network
promote	Promote a table to global scope	Table	table
promoteFmtLib	Promotes a format library to global scope for all sessions	Session Properties	sessionProp
publishModel	Publishes a model to a model table in CAS	Model Publishing and Scoring	modelPublishing
publishModelExternal	Publishes a model to an external database	Model Publishing and Scoring	modelPublishing

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
qlim	Analyzes univariate and multivariate limited dependent variable models	Qualitative and Limited Dependent Variable Modeling	qlim
quantifyBioMedImages	Quantifies biomedical images	BioMedImage	bioMedImage
quantifyImages	Quantifies images	Image	image
quantreg	Fits quantile regression models	Quantile Regression Modeling	quantreg
queryActionSet	Shows whether an action set is loaded	Builtins	builtins
queryCaslib	Checks whether a caslib exists	Table	table
queryName	Checks whether a name is an action or action set name	Builtins	builtins

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
randompca	Extracts principal components by using the random projection matrix sketching method	Principal Component Analysis	pca
rChart	Produces charts of subgroup ranges	Statistical Process Control	spc
reach	Calculates the reach (ego network) of a graph	Network	network
readGraph	Reads a graph	Network	network
readGraph	Reads a graph	Network Optimization	optNetwork
recBpr	Learns a Bayesian Personalized Ranking model	Recommender Engine	recommenderEngine
recDtos	Data translation with optimal step size (DTOS)	Recommender Engine	recommenderEngine
recomAls	Trains an alternating least squares matrix factorization model	Recommender System	recommend
recomCreate	Creates a recommender system	Recommender System	recommend
recomKnnScore	Makes recommendations with a KNN model	Recommender System	recommend
recomKnnTrain	Trains a KNN model	Recommender System	recommend
recomMfScore	Makes recommendations with a matrix factorization model	Recommender System	recommend
recomRateinfo	Summarizes rating information	Recommender System	recommend
recomSample	Creates a sample of users or items	Recommender System	recommend
recomSearchIndex	Builds a search index from item information	Recommender System	recommend
recomSearchQuery	Queries a search index	Recommender System	recommend
recomSim	Computes similarity for users or items	Recommender System	recommend
reconcileTwoLevels	Reconciles two levels of a hierarchy of forecasts	Reconcile Forecasts	tsReconcile
recordCount	Shows the number of rows in a Cloud Analytic Services table	Table	table
reflect	Shows detailed parameter information for an action or all actions in an action set	Builtins	builtins
refreshLicense	Refresh SAS license information from a file	Builtins	builtins
regression	Performs a linear regression up to 3rd-order polynomials	Simple Analytics	simple
remAllAcsActionSet	Removes all access controls for an action set or action	Access Control	accessControl
remAllAcsData	Removes all access controls for a caslib, table, or column	Access Control	accessControl
removeLayer	Removes a layer from a Deep Learning model	Deep Learning	deepLearn
removeNode	Remove one or more machines from the server	Builtins	builtins
removeQKB	Removes a QKB	QKB	qkb
repAllAcsAction	Replaces all access controls for an action	Access Control	accessControl
repAllAcsActionSet	Replaces all access controls for an action set	Access Control	accessControl
repAllAcsCaslib	Replaces all access controls for a caslib	Access Control	accessControl
repAllAcsColumn	Replaces all access controls for a column	Access Control	accessControl
repAllAcsTable	Replaces all access controls for a table	Access Control	accessControl
rlDescribe	Displays information about a reinforcement learning model	Reinforcement Learning	reinforcementLearn
rlExportModel	Saves a Reinforcement Learning model as an Astore model	Reinforcement Learning	reinforcementLearn
rlScore	Scores a table of using a reinforcement learning model	Reinforcement Learning	reinforcementLearn
rlTrainDqn	Do reinforcement learning training using Deep Q Network algorithm	Reinforcement Learning	reinforcementLearn
rlTrainFqn	Trains a model using the Fitted Q Network algorithm	Reinforcement Learning	reinforcementLearn
rlTrainPG	Do reinforcement learning training using Policy Gradient algorithm	Reinforcement Learning	reinforcementLearn
rlTrainPolicyGradient (rlTrainPG)	Do reinforcement learning training using Policy Gradient algorithm	Reinforcement Learning	reinforcementLearn
rnnExportModel	Exports a recurrent neural network model	Recurrent Neural Network	deepRnn
rnnScore	Scores a table using a Recurrent Neural Network model	Recurrent Neural Network	deepRnn
rnnTrain	Trains a Recurrent Neural Network	Recurrent Neural Network	deepRnn
robustpca	Performs robust principal component analysis	Robust PCA	robustPca
rollbackTransaction	Discards all changes in an access control transaction, releases all checked-out objects, and terminates the transaction	Access Control	accessControl
ruleGen	Generates LITI concept or fact rules using annotated documents	Text Analytics Rule Development	textRuleDevelop
runCasl	Runs CASL code	CASL Server	sccasl
runCode	Runs DATA step code	DATA Step	dataStep
runCodeTable	Runs DATA step code stored in a CAS table	DATA Step	dataStep
runDS2	Prepares and executes a DS2 program	DS2	ds2
runModel	Prepares and executes a DS2 program passed as an entry in a model table	DS2	ds2
runModelExternal	Invokes the SAS Embedded Process (EP) to run a model in an external database	Model Publishing and Scoring	modelPublishing
runModelLocal	Prepares and executes a model program locally on the CAS server	Model Publishing and Scoring	modelPublishing
runOptmodel	Runs OPTMODEL code	Optimization	optimization
runProgram	Defines the routine to be run	FCMP	fcmpact
runTimeCode	Runs user-defined code on a time series	Time Series Processing	timeData
rustats	Computes robust univariate statistics, centralized moments, quantiles, and frequency distribution statistics	Data Preprocess	dataPreprocess

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
save	Saves a table to a caslib's data source	Table	table
saveas	Saves an ONNX model to an analytic store	Analytic Store Scoring	aStore
saveFmtLib	Saves a format library	Session Properties	sessionProp
saveImages	Writes images contained in a CAS table to disk	Image	image
sChart	Produces charts of subgroup standard deviations	Statistical Process Control	spc
score	Uses an analytic store to score an input table	Analytic Store Scoring	aStore
scoreTextClassifier	Using a model generated in the trainTextClassifier action, computes classifier scores for input documents. Computes classifier labels and scores for the given input textual data. The labels are based on the model used. The action takes an input CAS table that contains a set of documents and generates a CAS output table. The output table contains document IDs and their classification labels and scores. This action requires a SAS Visual Text Analytics license	Text Classifier	textClassifier
screenVariables	Screens noise variables and variables that need special transformations to be useful in the downstream analytics.	Data Science Pilot	dataSciencePilot
searchAggregate	Aggregates certain fields in a table that is usually generated by searchIndex	Search	search
searchAutoComplete	Searches for a query against output from the buildAutoComplete action and retrieves matched terms with their frequency	Search Analytics	searchAnalytics
searchIndex	Searches for a query against an index and retrieves records, documents, and tuples that are relevant to that query	Search	search
searchJoin	Join tables together	Search Analytics	searchAnalytics
segmentBioMedImages	Segments biomedical images	BioMedImage	bioMedImage
selectFeatures	Feature selection	Data Science Pilot	dataSciencePilot
selectLag	Performs lag selection based on the maximum cross-correlation	Time Series Information Analysis	tsInfo
seqmc	Performs sequence mining using a Monte Carlo sampling algorithm	Sequence Rule Mining	sequence
serverStatus (about)	Shows the status of the server	Builtins	builtins
sessionId	Displays the name and UUID of the current session	Session Methods	session
sessionName	Changes the name of the current session	Session Methods	session
sessionStatus	Displays the status of the current session	Session Methods	session
setFmtSearch	Sets the format libraries to search	Session Properties	sessionProp
setLocale	Changes the locale for the current session	Session Methods	session
setServOpt	sets a server option	Server Properties	configuration
setSessOpt	Sets a session option	Session Properties	sessionProp
severity	Estimates parameters of the specified severity distribution models	Severity Distribution Modeling	severity
severityValidate	Validates severity distribution definitions	Severity Distribution Modeling	severity
shapleyExplainer	Computes Shapley value estimates for a query given a reference table	Explain Model	explainModel
shortestPath	Calculates the shortest paths between pairs of nodes in a graph	Network	network
shortestPath	Calculates the shortest paths between pairs of nodes in a graph	Network Optimization	optNetwork
showRolesAllowed	Shows the roles that a user is a member of	Access Control	accessControl
showRolesIn	Shows the currently active role	Access Control	accessControl
shuffle	Randomly shuffles a table	Table	table
shutdown	Shuts down the server	Builtins	builtins
significantTerms	Compares the term distribution from a result set with the term distribution from an index	Search Analytics	searchAnalytics
simsk	Simulates data from a system of distributions	Distribution System Simulation	simSystem
smc	Applies the sequential Monte Carlo method	Sequential Monte Carlo Action Set	smc
smCalib	Fits stability monitoring models	Stability Monitoring	stabilityMonitoring
smScore	Scores stability monitoring models	Stability Monitoring	stabilityMonitoring
solveBlackbox	Solves a black-box (derivative-free) optimization problem	Optimization	optimization
solveLp	Solves a linear optimization problem	Optimization	optimization
solveMilp	Solves a mixed integer linear optimization problem	Optimization	optimization
solveQp	Solves a quadratic optimization problem	Optimization	optimization
sparseReg	Fits sparse regression models	Sparse Regression	sandwich
sparseSvmTrain	Trains an SVM model for sparse dataset	Machine Learning for Sparse Data	sparseML
spatialreg	Analyzes regression models for spatial data	Spatial Data Regression Modeling	spatialreg
srs	Samples a proportion of data from the input table or partitions the data into no more than three portions	Sampling and Partitioning	sampling
ssmFit	Fits a state space model	State Space Modeling (ssm)	ssm
ssmScore	Score state space model	State Space Modeling (ssm)	ssm
startSparkEP	Starts the SAS Embedded Process for Spark continuous session	SAS Embedded Process for Spark	sparkEmbeddedProcess
startTransaction	Initiates an access control transaction in the current client session. Within a transaction, changes are private. Within a transaction, only exclusively reserved (checked-out) objects and their children can be updated. A transaction terminates when it is committed or rolled back	Access Control	accessControl
statusTransaction	Shows whether client session has an active transaction	Access Control	accessControl
stft	Performs a short-time Fourier transform	Time Frequency Analysis	timeFrequency
stopSparkEP	Stops the SAS Embedded Process for Spark continuous session	SAS Embedded Process for Spark	sparkEmbeddedProcess
stratified	Samples a proportion of data or partitions the data into no more than three portions within each stratum	Sampling and Partitioning	sampling
styleGanTrain	Trains a styleGAN model	Generative Adversarial Network Action Set	generativeAdversarialNet
summarize	Provides actions for evaluating data cardinality	Cardinality Analysis	cardinality
summarizeImages	Read an image table and extract information about the images it contains	Image	image
summary	Calculates the summary statistics of a graph	Network	network
summary	Calculates the summary statistics of a graph	Network Optimization	optNetwork
summary	Generates descriptive statistics of numeric variables such as the sample mean, sample variance, sample size, sum of squares, and so on	Simple Analytics	simple
super	Provides an action for performing supervised dimension reduction	Dimension Reduction	varReduce
svddTrain	Trains a support vector data description model	Support Vector Data Description	svDataDescription
svmTrain	Provides actions for support vector machines	Support Vector Machine	svm

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
tableDetails	Get detailed information about a table	Table	table
tableExists	Checks whether a table has been loaded	Table	table
tableInfo	Shows information about a table	Table	table
tabularGanTrain	Trains a tabular GAN model	Generative Adversarial Network Action Set	generativeAdversarialNet
termMap	Generates term maps from text	Text Rule Discovery	textRuleDiscover
textSummarize	Parses an input table and generates text summarization tables	Text Summarization	textSummarization
textToNGram	Converts raw text into nGrams	Language Model	langModel
thePlotThickens	Determine which points to display in plots with many points	Hypergroup	hyperGroup
timeout	Changes the time-out for a session	Session Methods	session
timeSeries	Forms a time series	Time Series Processing	timeData
tmAstore	Creates a text mining analytic store from text mining tables	Text Utilities	textUtil
tmCooccur	Computes the term-by-term co-occurrence matrix	Text Utilities	textUtil
tmCreateTopic	Creates a new topic by using similarity scores of terms based on the SVD projections	Text Topics	textTopic
tmFindSimilar	Computes similarity scores of terms based on singular value decomposition (SVD) projections	Text Utilities	textUtil
tmMergeTopic	Merges multiple topics into one topic	Text Topics	textTopic
tmMine	Combines the tpParse action, the tpAccumulate action, and SVD functionality into one action. Some parameters require a SAS Visual Text Analytics license or a SAS Visual Data Mining and Machine Learning license	Text Mining	textMining
tmScore	Generates the parent table and SVD projections from new textual data based on the results from previous training data. This action requires a SAS Visual Text Analytics license or a SAS Visual Data Mining and Machine Learning license	Text Mining	textMining
tmSplitTopic	Splits one topic into two topics	Text Topics	textTopic
tmSvd	Computes the SVD factorization and generates topics. Some parameters require a SAS Visual Text Analytics license or a SAS Visual Data Mining and Machine Learning license	Text Mining	textMining
topK	Returns the top-K and bottom-K distinct values of each variable included in the variable list based on a user-specified ranking order	Simple Analytics	simple
topologicalSort (topSort)	Calculates the topological ordering of a graph	Network	network
topologicalSort (topSort)	Calculates the topological ordering of a graph	Network Optimization	optNetwork
topSort	Calculates the topological ordering of a graph	Network	network
topSort	Calculates the topological ordering of a graph	Network Optimization	optNetwork
tpAccumulate	Accumulates parsing results and generates parent and terms tables. This action requires a SAS Visual Text Analytics license or a SAS Visual Data Mining and Machine Learning license	Text Parse	textParse
tpParse	Parses text using Natural Language Processing (NLP) techniques. This action requires a SAS Visual Text Analytics license or a SAS Visual Data Mining and Machine Learning license	Text Parse	textParse
tpSpell	Checks the output of the tpParse action and refines the parent spelling results for a term. This action requires a SAS Visual Text Analytics license	Text Parse	textParse
tpWordVector (applyWordVector)	Applies a word vector model to score documents. This action requires a SAS Visual Text Analytics license	Text Parse	textParse
trainTextClassifier	Trains a classifier model using labeled input data. The action uses labeled data sets with text and target columns and generates a classifier model as a CAS table that has been trained to classify documents according to the target labels that are present in the data sets. The output model contains hyperparameters (including the chunk size, vocabulary, target labels, and weights) that are used for subsequent scoring in the scoreTextClassifier action. The trainTextClassifier action generates a result table that contains training and validation accuracies, and losses that are measured during each epoch of training. The scoreTextClassifier action uses the classifier model as input. This action requires a SAS Visual Text Analytics license	Text Classifier	textClassifier
transcribeSpeech	Transcribe speech	Language Model	langModel
transform	Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation	Data Preprocess	dataPreprocess
transitiveClosure	Calculates the transitive closure of a graph	Network	network
transitiveClosure	Calculates the transitive closure of a graph	Network Optimization	optNetwork
transpose	Create an output table by restructuring the values in a table, transposing data from input rows to output columns	Transpose	transpose
tSne	Performs t-distributed stochastic neighbor embedding	t-Distributed Stochastic Neighbor Embedding	tSne
tsp	Solves the traveling salesman problem	Network Optimization	optNetwork
tuneAll	Automatically tunes hyperparameters for multiple models types concurrently.	Autotune	autotune
tuneBnet	Automatically adjusts Bayesian network classifier parameters to tune a model for minimum error	Autotune	autotune
tuneDecisionTree	Automatically adjusts decision tree parameters to tune a model for minimum error	Autotune	autotune
tuneFactMac	Automatically adjusts factorization machine parameters to tune a model for minimum error	Autotune	autotune
tuneForest	Automatically adjusts forest parameters to tune a model for minimum error	Autotune	autotune
tuneGlm	Automatically adjusts linear regression parameters to tune a model for minimum error	Autotune	autotune
tuneGPClass	Automatically adjusts Gaussian process classification parameters to tune a model for minimum error	Autotune	autotune
tuneGPReg	Automatically adjusts Gaussian process regression parameters to tune a model for minimum error	Autotune	autotune
tuneGradientBoostTree	Automatically adjusts gradient boosting tree parameters to tune a model for minimum error	Autotune	autotune
tuneGraphMultiReg	Automatically adjusts Generalized Linear Multitask Learning technique parameters to tune for best objective metric value	Autotune	autotune
tuneLabelSpread	Automatically adjusts Label Spreading technique parameters to tune for best objective metric value	Autotune	autotune
tuneLightGradBoost	Automatically adjusts light grad boost parameters to tune a model for minimum error	Autotune	autotune
tuneLogistic	Automatically adjusts logistic regression parameters to tune a model for minimum error	Autotune	autotune
tuneNeuralNet	Automatically adjusts neural network parameters to tune a model for minimum error	Autotune	autotune
tuner	Tunes a mixed integer linear optimization problem	Optimization	optimization
tuneSvm	Automatically adjusts support vector machine parameters to tune a model for minimum error	Autotune	autotune
tuneTsne	Automatically adjusts t-Distributed Stochastic Neighbor Embedding algorithm parameters to tune for minimum loss	Autotune	autotune

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
uChart	Produces u charts	Statistical Process Control	spc
uncertaintySampling (aluc)	Performs active learning using uncertainty, relevance, or random sampling.	Active Machine Learning	activeLearn
unloadGraph	Unloads a graph from memory	Network	network
unloadGraph	Unloads a graph from memory	Network Optimization	optNetwork
unsuper	Provides an action for performing unsupervised dimension reduction	Dimension Reduction	varReduce
update	Updates rows in a table	Table	table
updSomeAcsAction	Adds, deletes, and modifies some access controls for an action	Access Control	accessControl
updSomeAcsActionSet	Adds, deletes, and modifies some access controls for an action set	Access Control	accessControl
updSomeAcsCaslib	Adds, deletes, and modifies some access controls for a caslib	Access Control	accessControl
updSomeAcsColumn	Adds, deletes, and modifies some access controls for a column	Access Control	accessControl
updSomeAcsTable	Adds, deletes, and modifies some access controls for a table	Access Control	accessControl
upload	Uploads a local store to a remote store	Analytic Store Scoring	aStore
upload	Transfers binary data to the server to create objects like tables	Table	table
userActionSetPathInfo	Shows the user-defined action set search path	Builtins	builtins
userInfo	Shows the user information for your connection	Builtins	builtins

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
validateCategory	Checks the syntax of category rules and outputs rule error information into a CAS table	Text Analytics Rule Development	textRuleDevelop
validateConcept	Checks the syntax of concept rules and writes rule syntax error information to a CAS table	Text Analytics Rule Development	textRuleDevelop
validateIds	Validates the uniqueness of each identifier (ID) for the data in a CAS input table	Text Management	textManagement
valueCount	Performs a value count for multiple fields	Search	search
view	Creates a view from files or tables	Table	table
vrp	Solves the vehicle routing problem	Network Optimization	optNetwork

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
whatCheckoutsExist	Lists checkouts held on an object, its parents, and optionally its children	Access Control	accessControl
whatIsEffective	Lists effective access and explanations (Origins)	Access Control	accessControl
wideToLong	Reshapes a table containing wide records into a table containing thin records.	Data Shaping	dataShaping
window	Generates a window function	Time Frequency Analysis	timeFrequency

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Action	Description	Action Set	Syntax Name
xChart	Produces charts of subgroup means	Statistical Process Control	spc
xrChart	Produces charts of subgroup means and ranges	Statistical Process Control	spc
xsChart	Produces charts of subgroup means and standard deviations	Statistical Process Control	spc