PyOptEx
1.2.1
  • General concepts
  • Design of experiments
    • Quickstart
    • Customization
    • Example scenarios
    • Performance
  • Analysis
  • API
PyOptEx
  • Design of experiments
  • View page source

Design of experiments

  • Quickstart
    • Installation
    • Terminology
    • Create your first design
    • Creating a splitk-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
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