A bootstrap step imports either a set of experiments from another study or the whole study. The purpose of the step is to bootstrap a new study with experiments alredy calculated by another study, without the need to run them again. In fact, when a bootstrap step imports an experiment from another study, the step copies not only the experiment but also its trials and the system metrics generated during its former execution.
The bootstrap step has the following structure:
Field | Type | Value restrictions | Is required | Default value | Description |
---|---|---|---|---|---|
where the from
field should have the following structure:
with:
study
contains the name or ID of the study from which to import experiments
experiments
contains the numbers of the experiments from which to import
The following is an example of a bootstrap step that imports four experiments from two studies:
You can also import all the experiments of a study by omitting the experiments
field:
type
string
bootstrap
yes
The type of the step, in this case, bootstrap
name
string
yes
The name of the step
runOnFailure
boolean
true
false
no
false
The execution policy of the step:
false
prevents the step from running in case the previous step failed
true
allows the step to run even if the previous step failed
from
array of objects
Each object should have the structure described below
yes
The experiments to import in the current study
In case this is not set, this step imports every experiment of a study