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BayBE documentation

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Documentation

Readme
User Guide
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Examples
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- Basics
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  - Campaign
  - Recommenders
- Searchspaces
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- Constraints Discrete
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  - Mixture
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- Constraints Continuous
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  - Linear
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- Multi Target
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  - Desirability
- Serialization
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- Custom Surrogates
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- Backtesting
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- Custom Hooks
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- Transfer Learning
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  - Backtesting
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baybe
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- baybe.acquisition
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  - baybe.acquisition.acqfs
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  - baybe.acquisition.base
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    - AcquisitionFunction
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    - PartialAcquisitionFunction
  - baybe.acquisition.utils
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    - baybe.acquisition.utils.convert_acqf
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- baybe.campaign
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  - Campaign
- baybe.constraints
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- baybe.exceptions
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- baybe.kernels
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    - Scalarizer
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- baybe.parameters
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    - CustomDiscreteParameter
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- baybe.priors
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    - Prior
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- baybe.recommenders
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    - RecommenderProtocol
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  - baybe.recommenders.naive
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  - baybe.recommenders.pure
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      - PureRecommender
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        BayesianRecommender
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        BotorchRecommender
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        NonPredictiveRecommender
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        GaussianMixtureClusteringRecommender
        
        KMeansClusteringRecommender
        
        PAMClusteringRecommender
        
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      - baybe.recommenders.pure.nonpredictive.sampling
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        FPSRecommender
        
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- baybe.scaler
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- baybe.searchspace
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- baybe.serialization
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- baybe.simulation
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- baybe.surrogates
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  - baybe.surrogates.base
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  - baybe.surrogates.gaussian_process
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    - baybe.surrogates.gaussian_process.core
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      - GaussianProcessSurrogate
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        DefaultKernelFactory
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  - baybe.surrogates.linear
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    - MeanPredictionSurrogate
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    - NGBoostSurrogate
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    - RandomForestSurrogate
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- baybe.targets
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  - baybe.targets.base
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    - Target
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    - TargetMode
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    - NumericalTarget
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- baybe.telemetry
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- baybe.utils
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  - baybe.utils.augmentation
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  - baybe.utils.botorch_wrapper
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Misc

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baybe.surrogates.gaussian_process.core¶

Gaussian process surrogates.

Classes

GaussianProcessSurrogate

A Gaussian process surrogate model.

GaussianProcessSurrogate

baybe.surrogates.gaussian_process

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