Action Sets by Name
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Action Set Syntax Name Description Access Control accessControl Provides actions for managing user access to resources Active Machine Learning activeLearn Provides an action set for performing active learning which interactively query the
user in order to minimize the labeling effort 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
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Action Set Syntax Name Description Bayesian Additive Regression Trees bart Provides actions for fitting Bayesian additive regression trees models 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
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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 Shaping dataShaping Provides actions for reshaping wide or long tables. 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 Dynamic Bayesian Network dynamicBayesianNetwork Computes evolution of beliefs in hidden variables over time by using Dynamic Bayesian
Networks
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Action Set Syntax Name Description Hidden Markov Model hiddenMarkovModel Provides an action for fitting hidden Markov models Hypergroup 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.
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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
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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 Light Gradient Boosting lightGradBoost Provides actions for performing light gradient boosting.
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Action Set Syntax Name Description Optimization optimization Provides actions for solving optimization problems
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Action Set Syntax Name Description Recommender Engine recommenderEngine Provides actions for recommender engine 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 Risk Modeling and Decisioning riskmd Provides actions for risk modeling and decisioning Robust Multivariate Outlier Detection mvOutlier Identifies outliers and leverage points in a robust principal component analysis for
any numeric multivariate data set. Robust PCA robustPca Provides actions for robust principal component analysis (RPCA) and moving windows
principal component analysis (MWPCA)
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Action Set Syntax Name Description t-Distributed Stochastic Neighbor Embedding tSne Provides actions for the t-distributed stochastic neighbor embedding algorithm Table 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 Management
textManagement Provides utility actions for managing the properties of the text
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
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Last updated: September 21, 2022