adams.flow.transformer.SpreadSheetRandomSystematicSample
Performs random systematic sampling on the rows of the incoming spreadsheet.
Divides the rows into N blocks with N being the sample size. Then chooses a random starting position. Adds the row the output increments the position by the sample size. Position wraps around if output hasn't yet reached sample size.
For more information see:
https://en.wikipedia.org/wiki/Systematic_sampling
Flow input/output:
- input: adams.data.spreadsheet.SpreadSheet
- output: adams.data.spreadsheet.SpreadSheet
The logging level for outputting errors and debugging output.
command-line | -logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> |
default | WARNING |
min-user-mode | Expert |
The name of the actor.
command-line | -name <java.lang.String> |
default | SpreadSheetRandomSystematicSample |
The annotations to attach to this actor.
command-line | -annotation <adams.core.base.BaseAnnotation> |
default |
|
If set to true, transformation is skipped and the input token is just forwarded as it is.
command-line | -skip <boolean> |
default | false |
If set to true, the flow execution at this level gets stopped in case this actor encounters an error; the error gets propagated; useful for critical actors.
command-line | -stop-flow-on-error <boolean> |
default | false |
min-user-mode | Expert |
If enabled, then no errors are output in the console; Note: the enclosing actor handler must have this enabled as well.
command-line | -silent <boolean> |
default | false |
min-user-mode | Expert |
The seed for the randomization
command-line | -seed <long> |
default | 1 |
The size of the sample to use.
command-line | -sample-size <int> |
default | 10 |
minimum | 1 |
If enabled, then only a view of the subset is created.
command-line | -create-view <boolean> |
default | false |