RLClusteringConfig

scirs2_cluster::advanced::reinforcement

Struct RLClusteringConfig 

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pub struct RLClusteringConfig {
    pub learning_rate: f64,
    pub discount_factor: f64,
    pub exploration_rate: f64,
    pub exploration_decay: f64,
    pub n_episodes: usize,
    pub max_steps_per_episode: usize,
    pub initial_clusters: usize,
    pub max_clusters: usize,
    pub reward_function: RewardFunction,
}
Expand description

Configuration for reinforcement learning-based clustering

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§learning_rate: f64

Learning rate for Q-learning

§discount_factor: f64

Discount factor for future rewards

§exploration_rate: f64

Exploration rate (epsilon in epsilon-greedy)

§exploration_decay: f64

Decay rate for exploration

§n_episodes: usize

Number of episodes for training

§max_steps_per_episode: usize

Maximum steps per episode

§initial_clusters: usize

Initial cluster count

§max_clusters: usize

Maximum allowed clusters

§reward_function: RewardFunction

Reward function type

Trait Implementations§

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impl Clone for RLClusteringConfig

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fn clone(&self) -> RLClusteringConfig

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for RLClusteringConfig

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

Formats the value using the given formatter. Read more
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impl Default for RLClusteringConfig

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fn default() -> Self

Returns the “default value” for a type. Read more
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impl<'de> Deserialize<'de> for RLClusteringConfig

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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl Serialize for RLClusteringConfig

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

Serialize this value into the given Serde serializer. Read more

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