Struct TrainingConfig 

pub struct TrainingConfig {
    pub use_reward_modulation: bool,
}

Configuration knobs for crate::PlasticityTrainer.

Every field here drives an explicit runtime code path in crate::trainer::PlasticityTrainer::train_step — see that method’s rustdoc for exactly how each field is consumed. TrainingConfig intentionally does not expose knobs without a consumer (learning rate, homeostasis setpoints, and batch size were removed for this reason; see CHANGELOG.md). Low-level STDP / homeostasis tuning lives in neuromod::SpikingNetwork, which derives its own learning rate and thresholds from the neuromodulator state passed into step.

Values are serializable (serde) so callers can persist them as part of their own experiment configs or checkpointing setup — this crate does not implement checkpointing itself. Missing fields deserialize via Default (#[serde(default)] on the struct), and unknown fields (for example from an older config that still carries a since-removed knob) are ignored rather than rejected, since the struct does not use deny_unknown_fields.

Fields

use_reward_modulation: bool

When true (default), train_step adjusts neuromodulators from the reward. When false, the network steps with its current modulators unchanged.

Trait Implementations

impl Clone for TrainingConfig

fn clone(&self) -> TrainingConfig

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Copy for TrainingConfig

impl Debug for TrainingConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for TrainingConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for TrainingConfig

where TrainingConfig: Default,

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Eq for TrainingConfig

impl PartialEq for TrainingConfig

fn eq(&self, other: &TrainingConfig) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl Serialize for TrainingConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for TrainingConfig