Provides administrative access to all personal caslibs (CASUSER and CASUSERHDFS). This act...
Restores a user-defined action set from a saved table. This is useful for sharing custom a...
The actionSetInfo action is part of the built-in action set in SAS Viya. It is used to dis...
The `actionSetToTable` action transforms a user-defined action set, which is a collection ...
The `session.actionstatus` action allows you to retrieve the status of actions for a speci...
Adds a new caslib to enable access to a data source. A caslib is an in-memory space to hol...
The `addCaslibSubdir` action creates a new subdirectory within the physical path of an exi...
Adds a format library to the current CAS session. This allows user-defined formats to be u...
The `addFormat` action is a powerful tool within the `sessionProp` action set. It allows f...
The addLayer action adds a layer to a deep learning model. It is part of the Deep Learning...
The `addNode` action dynamically adds one or more machines to a running SAS Cloud Analytic...
The addNodeStatus action lists details about machines that are currently being added to th...
The `addPrototypes` action from the `fcmpact` action set allows for the dynamic definition...
The addRegion action allows for the addition or replacement of custom region definitions f...
The addRoutines action adds FCMP (Function Compiler) routines and stores them in a CAS tab...
The addTable action is a fundamental mechanism for transferring data from a client-side pr...
The addUserActionSetPath action adds a caslib to the user-defined action set search path. ...
The aggregate action performs aggregation on selected variables. It provides a wide range ...
The alJoin action is a fundamental tool in active learning workflows, designed to merge a ...
The alterTable action allows for modifying the metadata and properties of an in-memory CAS...
The analyzeMissingPatterns action performs a missing pattern analysis. It is a part of the...
The annCode action generates SAS DATA step scoring code from a trained artificial neural n...
The `annotateImages` action overlays various annotations onto images within a CAS table. T...
The `annScore` action scores a data table using a pre-trained artificial neural network mo...
The `annTrain` action, part of the `neuralNet` action set, is used to train an artificial ...
The `append` action adds the rows from a source table to the end of a target table. It is ...
The applyCategory action categorizes text documents based on a pre-built category model (i...
The applyConcept action performs concept extraction using a predefined or custom concept e...
The `arima` action provides a comprehensive set of tools for univariate time series analys...
The `assess` action in the Percentile action set is a powerful tool for evaluating and com...
The assessBias action calculates bias metrics for predictive models. This is a crucial ste...
The assumeRole action allows a user to temporarily adopt a specific administrative role wi...
The `attribute` action manages extended attributes for in-memory tables in CAS. Extended a...
The `augmentImages` action is a powerful tool within the Image action set for data augment...
The bartGauss action fits Bayesian additive regression trees (BART) models for a continuou...
The bartProbit action fits a probit Bayesian Additive Regression Trees (BART) model to dat...
The bartScore action scores a data table using a previously fitted Bayesian additive regre...
The bartScoreMargin action computes predictive margins by using a fitted Bayesian additive...
The `batchresults` action allows for changing the execution mode of a currently running ac...
The biconnectedComponents action calculates the biconnected components and articulation po...
The `binning` action in the `dataPreprocess` action set is a powerful tool for unsupervise...
The bnet action from the Bayesian Net Classifier action set uses Bayesian network models t...
The boxChart action produces box charts, which are a type of statistical process control (...
The boxPlot action calculates quantiles, high and low whiskers, and outliers for numeric v...
The brScore action scores text data based on a set of Boolean rules. These rules are typic...
The brTrain action extracts Boolean rules from a collection of documents. It is a key part...
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The `buildSurface` action uses the marching cubes algorithm to create a 3D surface from a ...
The `buildTermIndex` action creates a term index table from a table of significant terms. ...
The caEffect action provides model-agnostic methods for estimating potential outcome means...
The `calculateErrorRate` action compares reference (ground truth) transcripts with hypothe...
The caslibInfo action displays information about one or more caslibs. It can show details ...
The catTrans action groups and encodes categorical variables using various unsupervised an...
The cChart action produces a c-chart, which is a control chart for the number of nonconfor...
The cdm action simulates a compound distribution model, which is a common approach for mod...
The centrality action calculates various centrality metrics to identify the most important...
The `check` action, part of the 'Analytic Store Scoring' action set, validates an ONNX (Op...
Releases all objects that are checked out by the current client session. This action is pa...
Reserves an object (and all of its children) for update by only the current client session...
The 'clique' action finds maximal cliques in a graph. A clique is a subgraph where every t...
The columnInfo action displays information about the columns in a specified CAS table. Thi...
Combines a list of format libraries into a single format library....
Persists all changes in an access control transaction to the server, releases all checked-...
The community action detects communities in a graph. It is a fundamental tool for understa...
Compares two tables by computing the index and frequency of each group, cumulative frequen...
The compareImages action compares images from a source table with images from a reference ...
The compileCategory action builds a categories model from a set of category rules. It take...
Builds a concept model from linguistic rules defined in a CAS table. This action compiles ...
Flags a backup, previously initiated with the createBackup action, as complete. This actio...
Computes various features for audio files loaded into a CAS table. This action is fundamen...
The condenseImages action is a utility function that converts a CAS table with numeric pix...
The `connectedComponents` action finds the connected components of a graph. In graph theor...
The convertMps action is a utility function within the Optimization action set. It takes a...
The copulaFit action estimates the parameters for a specified copula type. Copulas are mul...
The copulaSimulate action simulates data from a specified copula model. A copula model is ...
The copulaViewStore action displays the model and estimates that are preserved in a specif...
The `copyModelExternal` action allows for the duplication of an analytic model, previously...
The copyTable action allows for the duplication of an in-memory table to another table, po...
The core action calculates the k-core decomposition of the graph. The k-core of a graph is...
The correlation action computes Pearson product-moment correlations. This is a fundamental...
The countregFitModel action analyzes regression models in which the dependent variable tak...
The `countregViewStore` action allows for the inspection and display of a count regression...
The `cox` action in the `phreg` (Proportional Hazards Regression) action set is used to fi...
The createBackup action is a crucial administrative tool within the accessControl action s...
The crfScore action uses a Conditional Random Fields (CRF) model to score input data. It p...
The crfTrain action trains a Conditional Random Fields (CRF) model for sequence labeling. ...
The crossTab action performs one-way or two-way tabulations, also known as frequency count...
The crossValidate action performs cross-validation with specified machine learning actions...
The cspade action performs sequence mining using the cSpade algorithm. It identifies frequ...
The cycle action calculates the elementary cycles (simple circuits) of a graph. A cycle is...
Prints the supplied parameters to the client log. This action is generally used for debugg...
The `ecm` action creates a sample of the enterprise-wide loss (aggregate loss) by combinin...
The `eig` action performs Principal Component Analysis (PCA) using the eigenvalue decompos...
Ends the current session. This action terminates the connection to the CAS server, releasi...
The `uniTimeSeries.esm` action provides exponential smoothing models for univariate time s...
The eventingInfo action reports the status of data event generation for the current CAS se...
Produces exponentially weighted moving average (EWMA) charts. The EWMA chart is a time-wei...
The `fedSql.execDirect` action submits a SAS FedSQL language statement for immediate execu...
Executes arbitrary programs inside the SAS Embedded Process for Spark. This action enables...
Computes the range and moving relative range for each time series observation in the input...
The exploreCorrelation action explores linear and nonlinear correlations among variables i...
The exploreData action performs data exploration, automatic variable analysis, and groupin...
The exportTextModel action builds an analytic store (astore) model from a category, concep...
Extracts the saved ONNX blob from a remote saved ONNX store. This action allows you to ret...
Extracts object detections from images. This action allows for cropping or highlighting de...
The factmac action learns a factorization machine model. Factorization machines are a gene...
Extracts common factors. The faExtract action is part of the Factor Analysis action set an...
The faNFactors action determines the number of factors to be retained in a factor analysis...
Computes independent components by using the fastICA method. This action separates a multi...
The fastknn action performs a k-nearest neighbor search. It calculates the distances betwe...
The featureMachine action is an automated feature transformation and generation engine. It...
Fetches rows from a table or view. This action allows you to retrieve data from a CAS tabl...
Fetches images from a CAS table and sends them to the client for display or further proces...
Fetch the specified saved result for a session....
The fileInfo action lists the files in a caslib's data source. It provides detailed metada...
The filterDesign action designs a digital filter. It supports standard filter families suc...
The fism action applies the FP-growth algorithm to identify frequent item sets within a tr...
The flattenImages action converts an image table (containing binary image data) into a wid...
The flushresult action removes (flushes) a saved result from the current CAS session histo...
The fmtLibCntlIn action creates a format library from a control table. This is useful for ...
The fmtLibCntlOut action creates a SAS Cloud Analytic Services (CAS) table that contains t...
The forestCode action generates SAS DATA step scoring code from a trained forest model. Th...
The forestScore action scores an input table using a previously trained forest model. It g...
The forestTrain action trains a forest model, which is an ensemble of decision trees used ...
Performs functional PCA training. The fPca action implements the Functional Principal Comp...
The fPcaScore action performs scoring for functional principal component analysis (FPCA). ...
Generates a frequency distribution for one or more variables. It calculates counts, percen...
The freqTab action in the Frequency and Crosstabulation Analysis action set constructs fre...
The frontierCost action analyzes stochastic frontier cost models. It estimates the cost ef...
The frontierProd action estimates the parameters of stochastic frontier production models ...
Generates DATA step scoring code from a gradient boosting tree model....
Scores a table using a gradient boosting tree model....
Trains a gradient boosting tree. This action requires a SAS Visual Data Mining and Machine...
Generate shadow features....
Fits generalized linear regression models....
creates a table on the server that contains results from scoring observations by using a f...
Retrieves information about CAS disk cache usage, the CAS server directory name, and the f...
Shows the information for licensed SAS products....
The getLicenseInfo action shows the license information for a SAS product. This can includ...
displays the value of a server option....
Displays the value of a session option. This action is part of the Session Properties Acti...
The `glm` action fits linear regression models using the method of least squares. It allow...
creates a table on the server that contains results from scoring observations by using a f...
The `globalReconcile` action, part of the `Reconcile Forecasts Action Set`, simultaneously...
Gaussian mixture model. This action performs clustering on input data using a Gaussian mix...
Learns a Gaussian process regression model....
Implements generalized linear multitask learning and solves multiple related sparse linear...
Builds BY groups in terms of the variable value combinations given the variables in the va...
The groupByInfo action computes the index and frequency of each group, and the index of ea...
Provides an action for performing variable clustering and providing undirected network for...
Shows the parameters for an action or lists all available actions....
Performs randomized cardinality estimation....
Generates histogram bins and simple bin-based statistics for numeric variables....
The builtins.history action shows the actions that were run in the current session. This a...
The httpAddress action shows the HTTP address for the server monitor. This action is part ...
Find hypergroups, graph layouts, colors, communities, centralities, shortests paths, and c...
Provides actions that are used for language models in speech-to-text systems. This action ...
Submits SAS/IML programs in CAS....
This action imports a Quality Knowledge Base (QKB) from a CAS library. It provides functio...
The 'importQKBFromURL' action facilitates the import of a Quality Knowledge Base (QKB) int...
Performs data matrix (variable) imputation....
Create indexes on one or more table variables....
Loads an action set in new sessions automatically....
Produces individual measurements and moving range charts....
The `listQKBLocales` action lists all the locales that are available for a specified Quali...
The listQKBs action lists all Quality Knowledge Bases (QKBs) that are available to the CAS...
Lists tokens for a given definition and locale within a specified Quality Knowledge Base (...
The listRegions action lists all the S3 regions that are defined for the CAS server enviro...
Lists the saved results for a session. This action is useful for managing and reviewing th...
Displays the server options and their current values. This action is particularly useful f...
The listSessions action displays a list of all active sessions on the CAS server. This is ...
Displays the session options and their current values. This action is useful for inspectin...
The lmDecode action decodes recurrent neural network (RNN) scores using a specified langua...
The lmImport action imports an n-gram language model from a CAS table into a binary format...
Loads a CAS action set into the current session, making its actions available for executio...
The loadAudio action loads audio files from a specified path and caslib into a CAS table. ...
The loadMps action loads a string that represents a problem in standard MPS (Mathematical ...
Loads a Quality Knowledge Base (QKB) into memory. This action makes the QKB available for ...
Loads a table from a caslib's data source into memory on the CAS server. This action is fu...
Loads a binary model file, such as a sentiment analysis model (SAM), a category model (MCO...
The `log` action allows for viewing and modifying the logging levels of various components...
The logistic action fits logistic regression models for binary, binomial, and multinomial ...
The logisticAssociation action computes indices of rank correlation between predicted prob...
The logisticCode action writes SAS DATA step code that can be used to compute predicted va...
The logisticLackfit action computes the Hosmer and Lemeshow goodness-of-fit test for a log...
The logisticOddsRatio action creates a table that compares subpopulations by using odds ra...
The logisticScore action creates a table on the server that contains results from scoring ...
The logisticType3 action computes Type 3 or Joint tests for a previously fitted logistic r...
Reshapes a table from a long format (multiple rows per subject) to a wide format (one row ...
The lpca action reduces the dimensionality of nominal variables by using logistic principa...
The maChart action produces a uniformly weighted moving average (MA) chart. This type of c...
The marketattribution action performs market analysis by using market attribution models. ...
The match action processes an input data table to identify and group similar records, a pr...
The matchImages action finds occurrences of a query image within a larger set of images st...
The maxFlow action calculates the maximum flow of a graph. The maximum flow problem is a c...
The mbanalysis action performs market basket analysis, a common technique in data mining u...
The mbcFit action performs model-based clustering on a given data set using the Expectatio...
The mbcScore action processes a model created by the mbcFit action and saved in an item st...
Reduces the dimensionality of nominal variables by using a multiple correspondence analysi...
The mChart action produces median charts for subgroup medians. This type of control chart ...
The mdSummary action calculates multidimensional summaries of numeric variables. This acti...
The metrics action is used to display performance metrics for each subsequent action execu...
The minCostFlow action calculates the minimum-cost network flow of a graph. The minimum-co...
The minCut action calculates the minimum cut of a graph. A cut is a partition of the nodes...
The minSpanTree action calculates the minimum spanning tree (MST) of a graph. An MST is a ...
The mitigateBias action uses the exponentiated gradient reduction algorithm to mitigate bi...