EWA maintains an exponentially weighted average. More...
#include <EWA.hpp>
Collaboration diagram for Sirikata::EWA< ValType >:
Public Member Functions | |
| EWA (float alpha) | |
| void | sample (const ValType &_s) |
| ValType | value () const |
Private Attributes | |
| float | mAlpha |
| ValType | mEWA |
Detailed Description
template<typename ValType>
class Sirikata::EWA< ValType >
EWA maintains an exponentially weighted average.
At initialization the user specifies the alpha weight to be used and then adds samples using sample(). The current value can be read using the value() method.
Constructor & Destructor Documentation
template<typename ValType>
| Sirikata::EWA< ValType >::EWA | ( | float | alpha | ) | [inline] |
Member Function Documentation
template<typename ValType>
| void Sirikata::EWA< ValType >::sample | ( | const ValType & | _s | ) | [inline] |
Referenced by Sirikata::Network::ASIOSocketWrapper::finishedSendingChunk().
template<typename ValType>
| ValType Sirikata::EWA< ValType >::value | ( | ) | const [inline] |
Referenced by Sirikata::Network::ASIOSocketWrapper::averageSendLatency().
Member Data Documentation
template<typename ValType>
float Sirikata::EWA< ValType >::mAlpha [private] |
Referenced by Sirikata::EWA< Duration >::sample().
template<typename ValType>
ValType Sirikata::EWA< ValType >::mEWA [private] |
Referenced by Sirikata::EWA< Duration >::sample(), and Sirikata::EWA< Duration >::value().
The documentation for this class was generated from the following file:
- libcore/include/sirikata/core/util/EWA.hpp
