Action Sets 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 Set	Syntax Name	Description
Access Control	accessControl	Provides actions for managing user access to resources
Aggregate Loss Modeling	cdm	Provides an action for modeling aggregate losses by using the compound distribution models
Aggregation	aggregation	Provides actions for aggregating the values of one or more variables
Analytic Store Scoring	aStore	Provides actions for scoring using an analytic store
Association Rule Mining	ruleMining	Provides actions for association rule mining
Audio	audio	Provides actions for processing audio data
Autotune	autotune	Provides actions to tune machine learning algorithm hyperparameters for individual or multiple model types

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 Set	Syntax Name	Description
Bayesian Net Classifier	bayesianNetClassifier	Uses Bayesian network models to classify the target variable
BioMedImage	bioMedImage	Provides actions for biomedical image processing
Boolean Rule	boolRule	Provides actions for Boolean rule extraction and scoring
Builtins	builtins	Provides actions that enable server management

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 Set	Syntax Name	Description
Cardinality Analysis	cardinality	Provides actions for evaluating data cardinality
CASL Server	sccasl	Provides actions for running server-side CASL code
Clustering	clustering	Provides actions for clustering
Copula Modeling	copula	Provides actions for modeling various copulas
Count Data Regression Modeling	countreg	Provides actions for modeling count data by using nonlinear regression

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 Set	Syntax Name	Description
Data Discovery	dataDiscovery	Provides actions for performing data discovery services
Data Preprocess	dataPreprocess	Provides actions for data preprocessing and transformation
Data Science Pilot	dataSciencePilot	Provides actions for automating data science workflows, including automatic machine learning pipeline exploration, execution and ranking.
DATA Step	dataStep	Provides actions for running a SAS DATA step
Decision Tree	decisionTree	Provides actions for modeling and scoring with decision trees, forests, and gradient boosting
Deep Learning	deepLearn	Provides a superset of actions for modeling and scoring with deep neural (DNN), convolutional (CNN), and recurrent (RNN) networks
Deep Neural Network	deepNeural	Provides actions for modeling and scoring with fully connected deep neural networks (DNN)
Dimension Reduction	varReduce	Provides actions for performing supervised and unsupervised dimension reduction
Distribution System Simulation	simSystem	Provides actions for simulating data from systems of distributions
DS2	ds2	Provides actions for preparing and executing DS2 programs
Duplicate Management	deduplication	Provides an action for managing rows within groups

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 Set	Syntax Name	Description
Economic Capital Modeling	ecm	Provides an action for developing an economic capital model
Entity Resolution	entityRes	Actions used in Data Management Entity Resolution
ESP Server Cluster	espCluster	Provides actions for starting and viewing a cluster of ESP servers
Explain Model Actions	explainModel	Provides actions for explaining already trained models.

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 Set	Syntax Name	Description
Factorization Machine	factmac	Provides actions for factorization machines
Fast k-Nearest Neighbor	fastKnn	Provides actions for the k-nearest neighbor algorithm
FCMP	fcmpact	Provides actions that add and run FCMP code
FedSQL	fedSql	Provides actions for submitting SQL statements
Frequency and Crosstabulation Analysis	freqTab	Provides actions for performing frequency and crosstabulation analysis

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 Set	Syntax Name	Description
Generalized Additive Models	gam	Provides actions for fitting Generalized Additive Models
Generalized Linear Multitask Learning	gleam	Implements generalized linear multitask learning and solves multiple related sparse linear regression problems simultaneously
Graph-Based Semisupervised Learning	graphSemiSupLearn	Provides actions for graph-based semisupervised learning
Graphical Variable Clustering	gVarCluster	Provides an action for performing variable clustering and providing undirected network for mining relationship among variables

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 Set	Syntax Name	Description
Hidden Markov Model	hiddenMarkovModel	Provides an action for fitting hidden Markov models
Hypergroup	hyperGroup	Find hypergroups, graph layouts, colors, communities, centralities, and create structural and nBody graphs. Find shortest paths.

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 Set	Syntax Name	Description
Image	image	Provides actions for image processing
IML	iml	Provides actions for submitting SAS/IML programs.
Independent Component Analysis	ica	Provides actions for performing independent component analysis

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 Set	Syntax Name	Description
Kernel Principal Component Analysis	kernelPca	Provides actions for kernel principal component analysis

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 Set	Syntax Name	Description
Language Model	langModel	Provides actions that are used for language models in speech-to-text systems.
LDA Topic Modeling	ldaTopic	Provides actions for training an LDA topic model and scoring documents using the LDA model

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 Set	Syntax Name	Description
Machine Learning for Sparse Data	sparseML	Provides actions for sparse data learning
Machine Learning Tools	mlTools	Provides utility actions for machine learning
Mixed Modeling	mixed	Provides actions for fitting mixed models
Model Publishing and Scoring	modelPublishing	Provides actions to support DATA step and DS2 model publishing and scoring in CAS and in external databases
Model-Based Clustering	mbc	Provides actions for performing model-based clustering

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 Set	Syntax Name	Description
Network	network	Provides actions for network analysis
Network Optimization	optNetwork	Provides actions for combinatorial and network flow optimization
Neural Network	neuralNet	Provides actions for training and scoring artificial neural networks
Nonlinear Models	nonlinear	Provides actions for fitting nonlinear models
Nonnegative Matrix Factorization	nmf	Provides actions for performing nonnegative matrix factorization
Nonparametric Bayes	nonParametricBayes	Nonparametric Bayes

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 Set	Syntax Name	Description
Optimization	optimization	Provides actions for solving optimization problems

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 Set	Syntax Name	Description
Panel Data Regression Modeling	panel	Provides an action for panel data econometrics
Partial Least Squares	pls	Provides actions for fitting reduced-rank linear models, including partial least squares
Percentile	percentile	Provides actions for calculating percentiles, boxplot values, and assessing models
Principal Component Analysis	pca	Provides actions for performing principal component analysis
Proportional Hazards Regression Modeling	phreg	Provides actions for fitting proportional hazards model

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 Set	Syntax Name	Description
QKB	qkb	Provides actions for importing and managing QKBs
Qualitative and Limited Dependent Variable Modeling	qlim	Provides actions for analyzing limited dependent variable models.
Quantile Regression Modeling	quantreg	Provides actions for performing quantile regression

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 Set	Syntax Name	Description
Recommender System	recommend	Provides actions for building a recommender system
Reconcile Forecasts	tsReconcile	Provides utility functions for reconciling hierarchical forecasts
Recurrent Neural Network	deepRnn	Provides actions for modeling and scoring with deep recurrent neural networks (RNN) with raw text inputs
Regression	regression	Provides actions for fitting linear, generalized linear, and logistic models
Reinforcement Learning	reinforcementLearn	Provides actions for building, training, and scoring reinforcement learning models
Robust PCA	robustPca	Provides actions for robust principal component analysis (RPCA) and moving windows principal component analysis (MWPCA)

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 Set	Syntax Name	Description
Sampling and Partitioning	sampling	Provides actions for sampling and partitioning of data
SAS Embedded Process for Spark	sparkEmbeddedProcess	Provides actions for interacting with the SAS Embedded Process for Spark continuous session
Search	search	Provides actions for indexing structured and unstructured data, querying against an index, and performing aggregations on an index
Search Analytics	searchAnalytics	Search analytics action set includes actions using analytics to improve search experience
Sentiment Analysis	sentimentAnalysis	Provides actions for the SAS Sentiment Analysis Application in CAS
Sequence	sequence	Provides actions for pathing analysis
Server Properties	configuration	Provides actions for managing server options
Session Methods	session	Provides actions to display session information and manage sessions
Session Properties	sessionProp	Provides actions for managing session properties
Severity Distribution Modeling	severity	Provides actions for modeling severity distributions of losses
Simple Analytics	simple	Provides actions for performing basic analytic functions
Smart Data Set Analysis and Processing	smartData	Provides actions for data analysis using machine learning
Sparse Regression	sandwich	Provides action for fitting sparse regression models
Spatial Data Regression Modeling	spatialreg	Provides an action for modeling spatial data
Stability Monitoring	stabilityMonitoring	Provides actions for monitoring stability
Statistical Process Control	spc	Provides actions for control chart analysis
Streaming Data	loadStreams	Provides actions for querying event streaming projects and getting snapshots of streaming data
Support Vector Data Description	svDataDescription	Provides actions for anomaly detection
Support Vector Machine	svm	Provides actions for support vector machines

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 Set	Syntax Name	Description
Tables	table	Provides actions for accessing and managing data
Text Analytics Conditional Random Fields	conditionalRandomFields	SAS Text Analytics conditional random field modeling package for sequence labeling.
Text Analytics Rule Development	textRuleDevelop	SAS Text Analytics linguistic rule development package for categorization, concept extraction and sentiment analysis
Text Analytics Rule Score	textRuleScore	SAS Text Analytics linguistic rule scoring package for categorization, concept extraction and sentiment analysis
Text Mining	textMining	Provides actions for mining textual data
Text Parse	textParse	Provides actions for parsing, accumulating results, handling misspellings, and applying word vector models to score documents
Text Rule Discovery	textRuleDiscover	Provides actions for term map extraction
Text Summarization	textSummarization	Provides an action for summarizing text data
Text Topics	textTopic	Provides a variety of topic actions for text analytics.
Text Utilities	textUtil	Provides a variety of utility actions for text analytics
Time Filters	timeFilters	Provides actions used for time filters
Time Frequency Analysis	timeFrequency	Provides utility functions for time frequency analysis
Time Series Information Analysis	tsInfo	Provides actions for time series information analysis
Time Series Processing	timeData	Provides actions for time series processing
Transpose	transpose	Provides actions for transposing data

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 Set	Syntax Name	Description
Univariate Time Series Analysis	uniTimeSeries	Provides actions for univariate time series analysis