Examples#

Fifteen complete, runnable studies, each built around a realistic scenario from a different domain: materials processing, CFD, wet-lab biology, machine-learning hyperparameters, particle phenomenology and beamline optics, among others. Every example is executed on every documentation build, so each page shows the full script together with the exact output and figures that script produces, plus download links for the .py source and a generated Jupyter notebook.

To run any example from a clone of the repository:

python examples/01_quickstart.py

Quickstart: a first design

Quickstart: a first design

Mixed parameter types and a constraint

Mixed parameter types and a constraint

Prescribed points, focus and exclusion

Prescribed points, focus and exclusion

Comparing optimisation criteria

Comparing optimisation criteria

Choosing an optimisation algorithm

Choosing an optimisation algorithm

How large should a design be?

How large should a design be?

Extra sets: adding a test set

Extra sets: adding a test set

Resuming from an existing design

Resuming from an existing design

A staged, sequential campaign

A staged, sequential campaign

Outputs and reports in one place

Outputs and reports in one place

Wet-lab: an assay with a nominal factor

Wet-lab: an assay with a nominal factor

CFD: a sweep with a turbulence model

CFD: a sweep with a turbulence model

Machine-learning hyperparameters

Machine-learning hyperparameters

Particle physics: 2HDM benchmarks

Particle physics: 2HDM benchmarks

Beamline optics: costly settings

Beamline optics: costly settings

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