Sample Collection
(Operator Toolbox)
Synopsis
A collection is a list of items. This operator allows you to take a collection and sample it to a given sample size.Description
The operator provides 3 different sampling methods (see parameter description) to perform the sampling. The parameter sample_size describes the number of items in the sampled output collection.Input
exa (Collection)
The collection which should be sampled.
Output
col (Collection)
The sampled collection.
org (Collection)
The original collection.
Parameters
- sampling method
The method to use for sampling.
- linear sampling: Take the first n objects of the collection.
- shuffled sampling: Take n unique, but random objects of the collection.
- bootstrap sampling: Take n random objects of the collection. Objects are allowed to be taken several times.
- sample size The number of objects to be drawn.
- use local random seed This parameter indicates if a local random seed should be used.
- local random seed If the use local random seed parameter is checked this parameter determines the local random seed.
Tutorial Processes
Grouping an ExampleSet into a collection
In this process we group the Titanic data set into bins of passenger fare. Then we select 2 random price ranges.