2215 questions found.

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Yes, by setting the 'kbytes' parameter to TRUE. By default, it is set to FALSE....
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Yes, the 'includeDirectories' parameter defaults to TRUE, so directories are included. You can set it to FALSE to exclude them....
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You can set the 'wildsensitive' parameter to FALSE. The default behavior is case-sensitive (TRUE)....
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You can set the 'wildignore' parameter to TRUE to treat these characters as literals. Alternatively, you can use the 'wildEscape' parameter to specify an escape character (default is '\')....
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You can use the 'dataSourceOptions' parameter to supply specific options such as 'hadoop-parameters' or 'oracle-parameters'....
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The 'caslib' parameter is used to specify the name of the caslib where you want to list the files....
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The filterDesign action is used to design a digital filter within the timeFilters action set....
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The supported filter types, specified via the filterType parameter, are 'lowpass', 'highpass', 'bandpass', and 'bandstop'....
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You can use 'butter' (or 'butterworth') for Butterworth filters, 'cheby1' (or 'chebyshev1') for Chebyshev Type I filters, and 'cheby2' (or 'chebyshev2') for Chebyshev Type II filters....
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The filterOrder parameter accepts a positive integer scalar, with a maximum allowed value of 200....
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The filterCutoff2 parameter, which specifies the high cutoff frequency, is required only when the filterType is set to 'bandpass' or 'bandstop'....
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The values for filterCutoff1 and filterCutoff2 must be between 0 and 1, where 1 corresponds to the normalized Nyquist frequency....
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The 'filterRp' parameter (passband ripple in dB) is required for Chebyshev Type I filters, while the 'filterRs' parameter (stopband attenuation in dB) is required for Chebyshev Type II filters....
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The default input variable name (inputVarName) is "signal", and the default smoothed output variable name (smoothedVarName) is "output"....
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The filterOutTable parameter specifies the output table that will contain the designed filter coefficients....
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The fism action applies the FP-growth algorithm to identify frequent item sets within the data....
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The `idVariable` parameter is required. It specifies the variable used to group the target variable into baskets....
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The `items` parameter specifies the number of items in a rule. The default value is 2 if the `out` or `outrule` parameter is specified, and 1 otherwise. It accepts integers from 1 to 1000....
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You can use the `nFis_Range` parameter, specifying `lower` and `upper` subparameters to define the minimum (default 1) and maximum (default 1000) number of items in the frequent item sets....
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The output table specified by the `out` parameter contains the frequent item sets used to generate rules, including their transaction counts and support statistics....
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While `out` stores the frequent item sets for rule generation, the `outFreq` parameter specifies an output table that contains the unique frequent items along with their transaction counts and support....
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`supmin` specifies the minimum level of support as an absolute count (minimum frequency) and overrides `suppct`. `suppct` specifies the minimum support as a percentage (0–100) of the total number of baskets....
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The `tgtVariable` is a required parameter that specifies the single nominal target variable. The action will fail with an error if this variable is missing from the input table....
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The flattenImages action converts image tables into a wide format, resulting in one column per pixel....
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The casOut parameter is required to specify the settings for the output table....
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You can set the groupChannels parameter to True. This groups the channels together (for example, all blue pixels, then all green pixels, then all red pixels) before writing them to the output table. The default is FALSE....
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By default, both the height and width parameters are set to 32....
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Use the copyVars parameter to specify the list of variables to copy. If not specified, the default variables copied are '_path_' and '_label_'....
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Yes, you can set the transpose parameter to True to transpose the images before writing them to the output table....
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You can use the numberOfChannels parameter, which accepts values such as "COLOR_IMAGE", "GRAY_SCALE_IMAGE", or a specific integer value....
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The flushresult action is used to flush the saved result for the current session....
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The available parameters are 'id' (which specifies the results ID) and 'tag' (which specifies the results TAG)....
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The 'id' parameter requires a 64-bit integer value....
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The 'tag' parameter requires a string value....
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The fmtLibCntlIn action is designed to create a format library from a control table....
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Yes, there is a restriction noted: PICTURE formats are not fully supported....
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The required parameters are 'fmtLibName', which specifies the format library name, and 'table', which specifies the settings for the input table....
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The 'table' parameter accepts a castable definition, allowing sub-parameters such as 'caslib', 'name' (required), 'where', 'vars', 'orderBy', 'groupBy', 'computedVars', 'computedOnDemand', 'singlePass', and others to refine how the input table is read....
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The fmtLibCntlOut action allows users to return a control table for a format library. This control table contains the definitions of the formats within the specified library....
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The fmtLibCntlOut action is part of the Session Properties Action Set (sessionProp)....
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The fmtLibCntlOut action requires two parameters: 'fmtLibName', which specifies the name of the format library, and 'casOut', which defines the output table....
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The 'casOut' parameter specifies the details for the output table where the format control data will be stored, such as the table name, caslib, and whether to replace an existing table....
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Yes, the action essentially saves formats to a CNTL table (control table), which can be used to store and transfer user-defined formats....
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The 'code' parameter requests that the action produce SAS score code. Additional parameters can be specified. For more information, refer to the common 'codegen' parameter....
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The 'casOut' subparameter, used within the 'code' parameter, specifies the output table where the generated SAS score code will be stored. It can take several additional subparameters such as 'caslib', 'compress', 'name', 'promote', 'replace', etc., to define the output table's properties....
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The 'encodeName' parameter (default: FALSE) specifies whether to encode variable names, such as predicted probabilities of a binary or nominal target, in the generated CAS output table. If set to TRUE, predicted probabilities are prefixed with 'P_' instead of '_DT_P_'....
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The 'modelTable' parameter (alias: 'model') is a required parameter that specifies the input table containing the forest model from which to generate the scoring code....
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The 'caslib' subparameter within 'modelTable' specifies the caslib for the input table. By default, the active caslib is used. You should specify a value only if the table is in a different caslib....
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The 'computedOnDemand' subparameter (alias: 'compOnDemand', default: FALSE) in 'modelTable' controls whether computed variables are created when the table is loaded (TRUE) or when the action begins (FALSE)....
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The 'computedVars' subparameter (alias: 'compVars') specifies the names of the computed variables to create. An expression for each variable must be provided in the 'computedVarsProgram' parameter. If omitted, all variables from 'computedVarsProgram' are automatically included....
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