2215 questions found.

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The distinctCountLimit parameter specifies the limit for distinct counts. If this limit is exceeded and the misraGries parameter is set to True, the Misra-Gries frequency sketch algorithm is used to estimate the frequency distribution; otherwise, the operation is aborted....
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The ecdfTolerance parameter specifies the tolerance value for the empirical cumulative distribution function, which is utilized by the quantile sketch algorithm....
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The event parameter specifies the target variable level to model. It casts multilevel classification problems into a one-versus-all binary classification problem, where the parameter value denotes the level being modeled....
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The explorationPolicy parameter specifies the automatic variable analysis and grouping (AVAPT) policy, including sub-policies for cardinality, coefficient of variation (cv), entropy, index of qualitative variation (iqv), kurtosis, missing values, nominal variables, outliers, and skewness....
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The freq parameter specifies the variable used for frequency counts....
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The inputs parameter specifies the subset of variables from the input table to be used for the analysis. It serves as an alias for the 'vars' parameter....
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When the misraGries parameter is set to True, it enables the use of the Misra-Gries algorithm for frequency distribution estimation if the distinct count limit is exceeded....
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The table parameter specifies the input table name, the caslib, and other common parameters such as computed variables and data source options....
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The target parameter specifies the target variable for the analysis. It is also aliased as 'evalVar'....
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The weight parameter specifies the variable to be used as weights in the analysis....
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The exportTextModel action is used to build a category astore model, a concept astore model, and a sentiment astore model....
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The mandatory parameters are "build" (to specify the model type and specific options), "casOut" (to specify the output table for the astore), and "table" (to specify the input table containing the model)....
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The valid values for 'modelType' are "CATEGORY", "CONCEPT", or "SENTIMENT"....
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The 'litiChunkSize' parameter specifies the size of chunks used when processing a document. The default is "32K". A value of "ALL" specifies that chunking is not performed and the entire document is loaded at once, which may affect memory usage for large documents....
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By default ("DEFAULT"), a category astore model generates three output tables: categories output data results, categories output term results, and the categorization model....
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When set to "DATAGRID", a sentiment astore model generates a single output table containing document sentiment, feature sentiment, and match string results for each document, corresponding to one output row of datagrids....
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The default language is "ENGLISH"....
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The extract action is used to extract the saved ONNX blob from a remote saved ONNX store....
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The 'rstore' parameter is required. It specifies the binary table that contains the analytic store....
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You can use the 'whereTable' sub-parameter within the 'rstore' parameter definition. This specifies an input table containing rows to be used as a WHERE filter....
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You must provide the 'name' of the table. Optionally, you can also specify the 'caslib' and 'dataSourceOptions'....
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The extractDetectedObjects action is designed to extract object detections from images within a CAS table....
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The 'table' parameter (alias 'imageTable') is used to specify the input table that contains the image data....
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You can specify the settings for the output table using the 'casOut' parameter....
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The 'coordType' parameter supports three formats: 'RECT' (rectangular, the default), 'COCO' (Common Objects in Context), and 'YOLO' (You Only Look Once)....
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The 'extractType' parameter accepts 'CROP' (to crop the detected objects) or 'HIGHLIGHT' (to highlight the detected objects). The default setting is 'HIGHLIGHT'....
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By setting the 'decode' (or 'decompress') parameter to TRUE, the action writes decoded images and metadata to the output table. The default is FALSE....
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The 'outputFormat' parameter determines how cropped detections are saved. 'MULTIPLE_ROWS' (default) saves them in one column across multiple rows, while 'MULTIPLE_COLUMNS' saves them in multiple columns within a single row....
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Yes, the 'maxObjects' parameter specifies the maximum number of detected objects to extract. The default limit is 10....
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Use the 'image' parameter (alias 'imageVar') to specify the column name. The default column name is '_image_'....
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Yes, you can use the 'copyVars' parameter to specify a list of variable names to copy from the input table to the output table....
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The factmac action is designed to learn a factorization machine model....
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You can use the "nFactors" parameter to specify the number of factors. The default value is 5....
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The "maxIter" parameter specifies the maximum number of iterations for the process, with a default of 30....
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You can set the "nonNegative" parameter to TRUE. The default behavior is FALSE....
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The "learnStep" parameter specifies the learning step size used for the optimization. The default value is 0.001....
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You can use the "outModel" parameter to specify the output data table in which to save the estimated factorization machine parameters....
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Yes, the "code" parameter can be used to produce SAS score code....
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You can use the "partByFrac" parameter to randomly assign proportions of observations to roles, or the "partByVar" parameter to assign roles based on the values of a specific variable....
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The "saveState" parameter specifies the output data table in which to save the state of the factorization machine for future scoring....
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You must use the "target" parameter to specify the variable name of the target variable....
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The faExtract action is used to extract common factors from a data set....
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The 'nFactors' parameter is required to specify the number of factors to be extracted for each BY group....
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The default extraction method is 'PRINCIPAL' (Principal Component Analysis)....
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You can use the 'rotate' parameter to specify a rotation method. Available types include VARIMAX, PROMAX, QUARTIMAX, OBLIMIN, and others. The default is NONE....
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You can use the 'heywood' parameter. The options are 'STOP' (default, stops the algorithm), 'BOUND' (sets communalities to 1), or 'UNBOUND' (continues extraction)....
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Yes, you can use the 'corrOut' parameter to specify an output table that will contain the correlation matrix, summary statistics, and the number of observations....
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The faNFactors action is designed to determine the number of factors for factor analysis....
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You can specify criteria using the "type" parameter within the "criteria" list. Valid types include "EIGENVALUE" (minimum eigenvalue), "MAP2" (minimum average squared partial correlation), "MAP4" (minimum average fourth-power partial correlation), "PARALLEL" (parallel analysis), and "PROPORTION" (pr...
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The "nFactors" parameter controls this behavior. It can be set to "MAX", "MEAN", "MEDIAN", or "MIN" (the default) to calculate the final number based on the results of all active criteria....
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