1 unstable release
Uses old Rust 2015
0.1.0 | Oct 15, 2018 |
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#810 in Machine learning
571 downloads per month
Used in 2 crates
16KB
264 lines
Rust crate that provides RunningAverage
and RealTimeRunningAverage
types that allow to calculate running average with specified time window width using constant memory.
The RunningAverage
type can be used when processing streams of temporal data while RealTimeRunningAverage
can be used when measured events are happening in real time.
For example RealTimeRunningAverage
can be used to measure download throughput by inserting how many bytes were transferred.
use running_average::RealTimeRunningAverage;
// By default use 8 second window with 16 accumulators
let mut tw = RealTimeRunningAverage::default();
// Connect and start downloading
// Got 2KB of data
tw.insert(2000);
// Waiting for more data
// Got 1KB of data
tw.insert(1000);
// Print average transfer for last 8 seconds
println!("{}", tw.measurement());
lib.rs
:
RunningAverage
and RealTimeRunningAverage
types allow to calculate running average with specified time window width using constant memory.
The RunningAverage
type can be used when processing streams of temporal data while RealTimeRunningAverage
can be used when measured events are happening in real time.
For example RealTimeRunningAverage
can be used to measure download throughput by inserting how many bytes were transferred.
use running_average::RealTimeRunningAverage;
// By default use 8 second window with 16 accumulators
let mut tw = RealTimeRunningAverage::default();
// Connect and start downloading
// Got 2KB of data
tw.insert(2000);
// Waiting for more data
// Got 1KB of data
tw.insert(1000);
// Print average transfer for last 8 seconds
println!("{}", tw.measurement());