# `Jido.Evolve.Mutation.HParams`
[🔗](https://github.com/agentjido/jido_evolve/blob/v1.0.0/lib/jido_evolve/mutation/hparams.ex#L1)

Schema-driven mutation for hyperparameter maps.

Mutates values according to their type in the schema:
- Floats: Gaussian perturbation (log-space for log-scale)
- Integers: ±1 step with clamping
- Enums: Random reselection with low probability
- Lists: Mutate elements, insert, or delete

## Options

- `:schema` - Schema definition (required)
- `:rate` - Mutation rate per parameter (default: from config)
- `:gaussian_scale` - Scale for Gaussian mutations (default: 0.1)

## Example

    schema = %{
      learning_rate: {:float, 0.001..0.1, :log},
      activation: {:enum, [:relu, :tanh]}
    }
    
    hparams = %{learning_rate: 0.01, activation: :relu}
    mutate(hparams, config, schema: schema)

# `mutate_with_feedback`

Default implementation of mutate_with_feedback/3 that ignores feedback.

# `mutation_strength`

Default mutation strength that decreases linearly with generation.

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*Consult [api-reference.md](api-reference.md) for complete listing*