See: Description
| Class | Description |
|---|---|
| BinningOptions |
Options for binning: Performs unsupervised variable discretization.
|
| CatTransArguments |
Options for transform: Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation.
|
| CatTransOptions |
Options for catTrans: Groups and encodes categorical variables using unsupervised and supervised grouping techniques.
|
| CatTransPhase |
Options for transform: Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation.
|
| ContingencyTableOptions |
Options for transform: Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation.
|
| DatapreprocessActions | |
| DiscretizeArguments |
Options for transform: Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation.
|
| DiscretizeOptions |
Options for discretize: Performs supervised and unsupervised variable discretization.
|
| DiscretizePhase |
Options for transform: Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation.
|
| EvaluationStatsOptions |
Options for transform: Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation.
|
| FunctionArguments |
Options for transform: Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation.
|
| FunctionPhase |
Options for transform: Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation.
|
| GlobalOverrides |
Options for transform: Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation.
|
| HashArguments |
Options for transform: Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation.
|
| HashPhase |
Options for transform: Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation.
|
| HighCardinalityOptions |
Options for highCardinality: Performs randomized cardinality estimation.
|
| HistogramOptions |
Options for histogram: Generates histogram bins and simple bin-based statistics for numeric variables.
|
| HistogramRequestPackage |
Options for histogram: Generates histogram bins and simple bin-based statistics for numeric variables.
|
| ImputeOptions |
Options for impute: Performs data matrix (variable) imputation.
|
| ImputePhase |
Options for transform: Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation.
|
| KdeBandwidthOptions |
Options for kde: Computes kernel density estimation.
|
| KdeBoundaryEffects |
Options for kde: Computes kernel density estimation.
|
| KdeGrid |
Options for kde: Computes kernel density estimation.
|
| KdeOptions |
Options for kde: Computes kernel density estimation.
|
| KdeOverlayHistogramArguments |
Options for kde: Computes kernel density estimation.
|
| KdeRequestPackage |
Options for kde: Computes kernel density estimation.
|
| KdeVarTuple |
Options for kde: Computes kernel density estimation.
|
| NominalStatistics |
Options for rustats: Computes robust univariate statistics, centralized moments, quantiles, and frequency distribution statistics.
|
| OutlierArguments |
Options for kde: Computes kernel density estimation.
|
| OutlierOptions |
Options for outlier: Performs outlier detection and treatment.
|
| OutlierPhase |
Options for transform: Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation.
|
| OutputPhase |
Options for transform: Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation.
|
| OutputTableOptions |
Options for highCardinality: Performs randomized cardinality estimation.
|
| RustatsOptions |
Options for rustats: Computes robust univariate statistics, centralized moments, quantiles, and frequency distribution statistics.
|
| RustatsRequestPackage |
Options for rustats: Computes robust univariate statistics, centralized moments, quantiles, and frequency distribution statistics.
|
| TransformOptions |
Options for transform: Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation.
|
| TransformRequestPackage |
Options for transform: Performs pipelined variable imputation, outlier detection and treatment, functional transformation, binning, and robust univariate statistics to evaluate the quality of the transformation.
|