public class GenericUDAFVariance extends AbstractGenericUDAFResolver
| Modifier and Type | Class and Description |
|---|---|
static class |
GenericUDAFVariance.GenericUDAFVarianceEvaluator
Evaluate the variance using the algorithm described by Chan, Golub, and LeVeque in
"Algorithms for computing the sample variance: analysis and recommendations"
The American Statistician, 37 (1983) pp.
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| Constructor and Description |
|---|
GenericUDAFVariance() |
| Modifier and Type | Method and Description |
|---|---|
GenericUDAFEvaluator |
getEvaluator(TypeInfo[] parameters)
Get the evaluator for the parameter types.
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getEvaluatorpublic GenericUDAFEvaluator getEvaluator(TypeInfo[] parameters) throws SemanticException
GenericUDAFResolverIf the class of the object does not implement Serializable, then we will create a new instance of the class at execution time.
getEvaluator in interface GenericUDAFResolvergetEvaluator in class AbstractGenericUDAFResolverparameters - The types of the parameters. We need the type information to know
which evaluator class to use.SemanticExceptionCopyright © 2017 The Apache Software Foundation. All rights reserved.