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.
|
Constructor and Description |
---|
GenericUDAFVariance() |
Modifier and Type | Method and Description |
---|---|
GenericUDAFEvaluator |
getEvaluator(TypeInfo[] parameters)
Get the evaluator for the parameter types.
|
getEvaluator
public GenericUDAFEvaluator getEvaluator(TypeInfo[] parameters) throws SemanticException
GenericUDAFResolver
If 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 GenericUDAFResolver
getEvaluator
in class AbstractGenericUDAFResolver
parameters
- The types of the parameters. We need the type information to know
which evaluator class to use.SemanticException
Copyright © 2017 The Apache Software Foundation. All rights reserved.