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v2.1.0
v2.1.0
v2.0.1
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v2.0.0b1
v2.0.0a2
v2.0.0a1
v1.4.0
SMAC3 Documentation
v2.1.0
Installation
Package Overview
Getting Started
Minimal Example
Examples
Basics
Quadratic Function
Support Vector Machine with Cross-Validation
Ask-and-Tell
Custom Callback
Continue an Optimization
User Priors over the Optimum
Multi-Fidelity and Multi-Instances
Multi-Layer Perceptron Using Multiple Epochs
Stochastic Gradient Descent On Multiple Datasets
Multi-Objective
2D Schaffer Function with Objective Weights
ParEGO
Command-Line Interface
Call Target Function From Script
Advanced Usage
Components
Multi-Fidelity Optimization
Multi-Objective Optimization
Optimization across Instances
Ask-and-Tell Interface
Command-Line Interface
Stopping Criteria
Logging
Parallelism
Continue
Reproducibility
Optimizations
API References
smac.facade
smac.facade.abstract_facade
smac.facade.algorithm_configuration_facade
smac.facade.blackbox_facade
smac.facade.hyperband_facade
smac.facade.hyperparameter_optimization_facade
smac.facade.multi_fidelity_facade
smac.facade.random_facade
smac.main
smac.main.config_selector
smac.main.smbo
smac.model
smac.model.abstract_model
smac.model.gaussian_process
smac.model.gaussian_process.abstract_gaussian_process
smac.model.gaussian_process.gaussian_process
smac.model.gaussian_process.gpytorch_gaussian_process
smac.model.gaussian_process.kernels
smac.model.gaussian_process.mcmc_gaussian_process
smac.model.gaussian_process.priors
smac.model.multi_objective_model
smac.model.random_forest
smac.model.random_forest.abstract_random_forest
smac.model.random_forest.random_forest
smac.model.random_model
smac.acquisition
smac.acquisition.function
smac.acquisition.function.abstract_acquisition_function
smac.acquisition.function.confidence_bound
smac.acquisition.function.expected_improvement
smac.acquisition.function.integrated_acquisition_function
smac.acquisition.function.prior_acqusition_function
smac.acquisition.function.probability_improvement
smac.acquisition.function.thompson
smac.acquisition.maximizer
smac.acquisition.maximizer.abstract_acqusition_maximizer
smac.acquisition.maximizer.differential_evolution
smac.acquisition.maximizer.helpers
smac.acquisition.maximizer.local_and_random_search
smac.acquisition.maximizer.local_search
smac.acquisition.maximizer.random_search
smac.intensifier
smac.intensifier.abstract_intensifier
smac.intensifier.hyperband
smac.intensifier.intensifier
smac.intensifier.successive_halving
smac.initial_design
smac.initial_design.abstract_initial_design
smac.initial_design.default_design
smac.initial_design.factorial_design
smac.initial_design.latin_hypercube_design
smac.initial_design.random_design
smac.initial_design.sobol_design
smac.random_design
smac.random_design.abstract_random_design
smac.random_design.annealing_design
smac.random_design.modulus_design
smac.random_design.probability_design
smac.runner
smac.runner.abstract_runner
smac.runner.abstract_serial_runner
smac.runner.dask_runner
smac.runner.exceptions
smac.runner.target_function_runner
smac.runner.target_function_script_runner
smac.runhistory
smac.runhistory.dataclasses
smac.runhistory.encoder
smac.runhistory.encoder.abstract_encoder
smac.runhistory.encoder.boing_encoder
smac.runhistory.encoder.eips_encoder
smac.runhistory.encoder.encoder
smac.runhistory.encoder.inverse_scaled_encoder
smac.runhistory.encoder.log_encoder
smac.runhistory.encoder.log_scaled_encoder
smac.runhistory.encoder.scaled_encoder
smac.runhistory.encoder.sqrt_scaled_encoder
smac.runhistory.enumerations
smac.runhistory.errors
smac.runhistory.runhistory
smac.multi_objective
smac.multi_objective.abstract_multi_objective_algorithm
smac.multi_objective.aggregation_strategy
smac.multi_objective.parego
smac.utils
smac.utils.configspace
smac.utils.data_structures
smac.utils.logging
smac.utils.multi_objective
smac.utils.pareto_front
smac.utils.subspaces
smac.utils.subspaces.boing_subspace
smac.utils.subspaces.turbo_subspace
smac.scenario
smac.callback
smac.callback.callback
smac.callback.metadata_callback
References
Glossary
F.A.Q.
License
Source code for smac.runhistory.errors
[docs]
class
NotEvaluatedError
(
RuntimeError
):
pass