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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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- Constraints Continuous
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  - Hybrid Space
  - Linear
- Multi Target
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  - Desirability
  - Pareto
- Serialization
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- Custom Surrogates
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  - Custom Pretrained
  - Surrogate Params
- Mixtures
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  - Slot Based
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- Backtesting
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- Multi Armed Bandit
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  - Bernoulli Multi Armed Bandit
- Transfer Learning
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  - Basic Transfer Learning
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- Custom Hooks
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FAQ

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
  - baybe.acquisition.partial
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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.constraints.base
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  - baybe.constraints.conditions
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  - baybe.constraints.continuous
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    - ContinuousCardinalityConstraint
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  - baybe.constraints.discrete
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  - baybe.constraints.utils
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  - baybe.constraints.validation
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- baybe.exceptions
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- baybe.insights
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- baybe.kernels
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- baybe.objectives
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    - Scalarizer
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    - ParetoObjective
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    - SingleTargetObjective
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- baybe.parameters
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  - baybe.parameters.categorical
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    - CategoricalParameter
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    - CustomDiscreteParameter
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  - baybe.parameters.numerical
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    - NumericalContinuousParameter
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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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      - MetaRecommender
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  - baybe.recommenders.naive
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    - NaiveHybridSpaceRecommender
  - baybe.recommenders.pure
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      - PureRecommender
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        BayesianRecommender
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        BotorchRecommender
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        baybe.recommenders.pure.bayesian.sequential_greedy.SequentialGreedyRecommender
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        GaussianMixtureClusteringRecommender
        
        KMeansClusteringRecommender
        
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        FPSRecommender
        
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- baybe.searchspace
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  - baybe.searchspace.continuous
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    - SubspaceContinuous
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- baybe.serialization
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- baybe.simulation
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- baybe.surrogates
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  - baybe.surrogates.composite
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    - CompositeSurrogate
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      - GaussianProcessSurrogate
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        baybe.surrogates.gaussian_process.presets.core.make_gp_from_preset
        
        GaussianProcessPreset
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        DefaultKernelFactory
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        EDBOKernelFactory
  - baybe.surrogates.linear
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    - BayesianLinearSurrogate
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    - MeanPredictionSurrogate
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    - NGBoostSurrogate
  - baybe.surrogates.random_forest
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    - RandomForestSurrogate
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  - baybe.surrogates.validation
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    - baybe.surrogates.validation.get_model_params_validator
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- baybe.targets
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  - baybe.targets.base
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    - Target
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    - baybe.targets.binary.ChoiceValue
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  - baybe.targets.enum
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    - TargetMode
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  - baybe.targets.numerical
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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.chemistry
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  - baybe.utils.clustering_algorithms
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    - baybe.utils.clustering_algorithms.third_party
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      - baybe.utils.clustering_algorithms.third_party.kmedoids
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        KMedoids
  - baybe.utils.conversion
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  - baybe.utils.dataframe
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  - baybe.utils.interval
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  - baybe.utils.memory
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    - baybe.utils.memory.bytes_to_human_readable
  - baybe.utils.numerical
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  - baybe.utils.random
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    - baybe.utils.random.set_random_seed
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  - baybe.utils.scaling
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    - ColumnTransformer
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baybe.utils.clustering_algorithms.third_party.kmedoids¶

KMedoids clustering

Classes

k-medoids clustering.

baybe.utils.clustering_algorithms.third_party

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