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  • User Guide
  • API Reference
    • OmegaConf Utilities aiaccel.config
    • PyTorch/Lightning Toolkit aiaccel.torch
    • Hyperparameter Optimization aiaccel.hpo
  • Contribution Guide
/
  • User Guide
    • Managing Configurations
    • Training a PyTorch Model
    • Optimizing Hyperparameters
  • API Reference
    • OmegaConf Utilities
      • aiaccel.config.load_config
      • aiaccel.config.print_config
      • aiaccel.config.pathlib2str_config
      • aiaccel.config.overwrite_omegaconf_dumper
      • aiaccel.config.resolve_inherit
      • aiaccel.config.collect_git_status_from_config
      • aiaccel.config.print_git_status
      • aiaccel.config.PackageGitStatus
    • PyTorch/Lightning Toolkit
      • aiaccel.torch.datasets.CachedDataset
      • aiaccel.torch.datasets.FileCachedDataset
      • aiaccel.torch.datasets.HDF5Dataset
      • aiaccel.torch.datasets.RawHDF5Dataset
      • aiaccel.torch.datasets.scatter_dataset
      • aiaccel.torch.lightning.ABCIEnvironment
      • aiaccel.torch.lightning.OptimizerLightningModule
      • aiaccel.torch.lightning.OptimizerConfig
      • aiaccel.torch.lightning.build_param_groups
      • aiaccel.torch.lightning.datamodules.SingleDataModule
      • aiaccel.torch.h5py.HDF5Writer
      • aiaccel.torch.functional.linear_sum_assignment
    • Hyperparameter Optimization
      • aiaccel.hpo.algorithms.NelderMeadAlgorism
      • aiaccel.hpo.optuna.samplers.NelderMeadSampler
      • aiaccel.hpo.optuna.hparams.Hparam
      • aiaccel.hpo.optuna.hparams.Const
      • aiaccel.hpo.optuna.hparams.Float
      • aiaccel.hpo.optuna.hparams.Int
      • aiaccel.hpo.optuna.hparams.Categorical
  • Contribution Guide
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On this page

  • Algorithms
  • Optuna Utilities
    • Samplers
    • Hparam
  1. aiaccel /
  2. API Reference /
  3. Hyperparameter Optimization

Hyperparameter Optimization¶

Algorithms¶

NelderMeadAlgorism([dimensions, coeff, rng, ...])

Class to manage the NelderMead algorithm

Optuna Utilities¶

Samplers¶

NelderMeadSampler(search_space[, seed, rng, ...])

Sampler using the NelderMead algorithm

Hparam¶

Hparam()

Const(value)

Float(low, high[, step, log])

Int(low, high[, step, log])

Categorical(choices)

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