PyOptEx
1.2.1
General concepts
Design of experiments
Quickstart
Customization
Example scenarios
Performance
Analysis
API
PyOptEx
Design of experiments
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Design of experiments
Quickstart
Installation
Terminology
Create your first design
Creating a split
k
-plot design
Creating other fixed structure designs
Creating a cost-optimal design
Evaluation
Parallelization
Customization
Custom models
Custom metrics
Custom cost functions
Factor level constraints
Covariates
Design augmentation
Custom categorical encoding
Discrete numerical factors
Bayesian a-priori variances
Custom cost-optimal operators (CODEX)
Example scenarios
Fixed structure
Cost-optimal
Performance
Single core performance
Parallelization
Costs
Update formulas
Bayesian variance ratios