====Example SampleStream Timings====

The parameters you use when creating your [[class_samplestream|samplestream]] depend on your application and what you're hunting for.

===High-Resolution Scans===

Are you looking for events that only show up at 20-millisecond resolution? You can scan long time frames at high resolution using settings like these...

^Option^Value^
|Window|2|
|Samples|100|
|Step|2|

//These settings will scan the [[span|span range]], delivering a snapshot of every 2 seconds with 100 samples (20-millisecond resolution).//

===Searching the Unknown===

In some cases you need to compensate for lag or find specific events, but the timing can be very erratic - the even might be seconds ago, or last week.

By using coarser resolutions, you can scan large periods of time for events. Generally, we'd suggest using a number of samples that is //half the length of the event you want to capture// - so if you're searching for an event that lasts 30 seconds, you should have //at least// 15-second resolution.

^Option^Value^
|Window|60|
|Samples|4|
|Step|60|

//These settings will scan the [[span|span range]], delivering a snapshot of every minute and data points every 15 seconds.//

===Training AI===

When training AI, it's often good to have a number of samples across a window of time, and for some of those samples to //overlap//.

By setting the step to smaller than the window, you can ensure that the //next// sample still contains some data from the //current// sample.

^Option^Value^
|Window|30|
|Samples|30|
|Step|15|

//These settings will scan the [[span|span range]], delivering 30 seconds of data at one-second resolution. Each sample will only move forward 15 seconds, meaning there will be 50% overlap from sample-to-sample.//