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SMAC3

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SMAC3

Home
Installation
Package Overview
Getting Started
Advanced Usage
Advanced Usage
Examples
Examples
- 1 Basics
  1 Basics
- 2 Multi Fidelity and Multi Instances
  2 Multi Fidelity and Multi Instances
- 3 Multi Objective
  3 Multi Objective
  - 2D Schaffer Function with Objective Weights
  - ParEGO
- 4 Advanced Topics
  4 Advanced Topics
  - Callback for logging run metadata
  - Speeding up Cross-Validation with Intensification
- 5 Command Line Interface
  5 Command Line Interface
  - Call Target Function From Script
API
API
- Smac
  Smac
  - Constants
  - Scenario
  - Acquisition
    Acquisition
    
    Function
    Function
    
    Abstract acquisition function
    
    Confidence bound
    
    Expected improvement
    
    Integrated acquisition function
    
    Prior acquisition function
    
    Probability improvement
    
    Thompson
    
    Maximizer
    Maximizer
    
    Abstract acquisition maximizer
    
    Differential evolution
    
    Helpers
    
    Local and random search
    
    Local search
    
    Random search
  - Callback
    Callback
    
    Callback
    
    Metadata callback
  - Facade
    Facade
    
    Abstract facade
    
    Algorithm configuration facade
    
    Blackbox facade
    
    Hyperband facade
    
    Hyperparameter optimization facade
    
    Multi fidelity facade
    
    Random facade
  - Initial design
    Initial design
    
    Abstract initial design
    
    Default design
    
    Factorial design
    
    Latin hypercube design
    
    Random design
    
    Sobol design
  - Intensifier
    Intensifier
    
    Abstract intensifier
    
    Hyperband
    
    Hyperband utils
    
    Intensifier
    
    Successive halving
  - Main
    Main
    
    Config selector
    
    Smbo
  - Model
    Model
    
    Abstract model
    
    Multi objective model
    
    Random model
    
    Gaussian process
    Gaussian process
    
    Abstract gaussian process
    
    Gaussian process
    
    Gpytorch gaussian process
    
    Mcmc gaussian process
    
    Kernels
    Kernels
    
    Base kernels
    
    Hamming kernel
    
    Matern kernel
    
    Rbf kernel
    
    White kernel
    
    Priors
    Priors
    
    Abstract prior
    
    Gamma prior
    
    Horseshoe prior
    
    Log normal prior
    
    Tophat prior
    
    Random forest
    Random forest
    
    Abstract random forest
    
    Random forest
  - Multi objective
    Multi objective
    
    Abstract multi objective algorithm
    
    Aggregation strategy
    
    Parego
  - Random design
    Random design
    
    Abstract random design
    
    Annealing design
    
    Modulus design
    
    Probability design
  - Runhistory
    Runhistory
    
    Dataclasses
    
    Enumerations Enumerations
    Table of contents
    
    enumerations
    
    StatusType
    
    Errors
    
    Runhistory
    
    Encoder
    Encoder
    
    Abstract encoder
    
    Boing encoder
    
    Eips encoder
    
    Encoder
    
    Inverse scaled encoder
    
    Log encoder
    
    Log scaled encoder
    
    Scaled encoder
    
    Sqrt scaled encoder
  - Runner
    Runner
    
    Abstract runner
    
    Abstract serial runner
    
    Dask runner
    
    Exceptions
    
    Target function runner
    
    Target function script runner
  - Utils
    Utils
    
    Configspace
    
    Data structures
    
    Logging
    
    Multi objective
    
    Numpyencoder
    
    Pareto front
    
    Subspaces
    Subspaces
    
    Boing subspace
    
    Turbo subspace
Info & FAQ
Info & FAQ

Enumerations

smac.runhistory.enumerations #

StatusType #

Bases: IntEnum

Class to define status types of configs.

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