HPO Specifications¶
- class agilerl.models.hpo.MutationProbabilities(*, no_mut: Annotated[float, Ge(ge=0.0), Le(le=1.0)] = 0.4, arch_mut: Annotated[float, Ge(ge=0.0), Le(le=1.0)] = 0.2, new_layer: Annotated[float, Ge(ge=0.0), Le(le=1.0)] = 0.2, params_mut: Annotated[float, Ge(ge=0.0), Le(le=1.0)] = 0.2, act_mut: Annotated[float, Ge(ge=0.0), Le(le=1.0)] = 0.0, rl_hp_mut: Annotated[float, Ge(ge=0.0), Le(le=1.0)] = 0.2)¶
Mutation probability distribution.
- Parameters:
no_mut (float) – Probability of no mutation.
arch_mut (float) – Probability of architecture mutation.
new_layer (float) – Probability of new layer mutation.
params_mut (float) – Probability of parameters mutation.
act_mut (float) – Probability of activation mutation.
rl_hp_mut (float) – Probability of RL hyperparameter mutation.
- model_config: ClassVar[ConfigDict] = {}¶
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
- class agilerl.models.hpo.MutationSpec(*, probabilities: ~agilerl.models.hpo.MutationProbabilities = <factory>, rl_hp_selection: dict[str, ~agilerl.models.hpo.RLHyperparameter] = <factory>, mutation_sd: ~typing.Annotated[float, ~annotated_types.Ge(ge=0.0)] = 0.1, rand_seed: ~typing.Annotated[int, ~annotated_types.Ge(ge=0)] = 42)¶
Pydantic model for Mutations object.
- Parameters:
probabilities (MutationProbabilities) – Probability distribution for the mutations.
rl_hp_selection (dict[str, RLHyperparameter]) – RL hyperparameters to mutate.
mutation_sd (float) – Standard deviation of the mutation.
rand_seed (int) – Random seed for repeatability.
- model_config: ClassVar[ConfigDict] = {'extra': 'forbid'}¶
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
- class agilerl.models.hpo.TournamentSelectionSpec(*, tournament_size: Annotated[int, Ge(ge=2)] = 2, elitism: bool = True)¶
Pydantic model for TournamentSelection object.
- Parameters:
- model_config: ClassVar[ConfigDict] = {}¶
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].