SlidingPercentile (ExoPlayer library)

java.lang.Object
- com.google.android.exoplayer2.upstream.SlidingPercentile

```
public class SlidingPercentile
extends Object
```
Calculate any percentile over a sliding window of weighted values. A maximum weight is configured. Once the total weight of the values reaches the maximum weight, the oldest value is reduced in weight until it reaches zero and is removed. This maintains a constant total weight, equal to the maximum allowed, at the steady state.
This class can be used for bandwidth estimation based on a sliding window of past transfer rate observations. This is an alternative to sliding mean and exponential averaging which suffer from susceptibility to outliers and slow adaptation to step functions.

See Also:

Wiki: Moving average, Wiki: Selection algorithm

Constructor Summary

Constructors
Constructor Description

SlidingPercentile(int maxWeight)

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`addSample(int weight, float value)`	Adds a new weighted value.
`float`	`getPercentile(float percentile)`	Computes a percentile by integration.
`void`	`reset()`	Resets the sliding percentile.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - SlidingPercentile
```
public SlidingPercentile(int maxWeight)
```
    Parameters:
    
    maxWeight - The maximum weight.
- Method Detail
  - reset
```
public void reset()
```
    Resets the sliding percentile.
  - addSample
```
public void addSample(int weight,
                      float value)
```
    Adds a new weighted value.
    
    Parameters:
    
    weight - The weight of the new observation.
    
    value - The value of the new observation.
  - getPercentile
```
public float getPercentile(float percentile)
```
    Computes a percentile by integration.
    
    Parameters:
    
    percentile - The desired percentile, expressed as a fraction in the range (0,1].
    
    Returns:
    
    The requested percentile value or Float.NaN if no samples have been added.