Bootstrap step

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
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

where the from field should have the following structure:

study: "study_bootstrap_1"
experiments: [1,2,3]

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

Examples

The following is an example of a bootstrap step that imports four experiments from two studies:

name: "my_bootstrap"  # name of the step
type: "bootstrap"     # type of the step (bootstrap)
from:
  - study: "study_bootstap_1"  # name or ID of the study from which to import
    experiments: [1, 2, 4]     # the numbers of the experiments to import
  - study: "study_bootstrap_2"
    experiments: [1]

You can also import all the experiments of a study by omitting the experiments field:

name: "my_bootstrap"   # name of the step
type: "bootstrap"      # type of the step (bootstrap)
from:
  - study: "study_bootstrap_1" # name or ID of the study from which to import