pub struct RMIConfig {
pub num_models: usize,
pub model_type: ModelType,
pub training_iterations: usize,
pub learning_rate: f32,
pub error_threshold: f32,
}Expand description
Configuration for Recursive Model Index (RMI)
Fields§
§num_models: usizeNumber of models in the second stage
model_type: ModelTypeModel type to use
training_iterations: usizeTraining iterations for neural models
learning_rate: f32Learning rate for neural models
error_threshold: f32Error threshold for adaptive model selection
Trait Implementations§
Source§impl<'de> Deserialize<'de> for RMIConfig
impl<'de> Deserialize<'de> for RMIConfig
Source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
Auto Trait Implementations§
impl Freeze for RMIConfig
impl RefUnwindSafe for RMIConfig
impl Send for RMIConfig
impl Sync for RMIConfig
impl Unpin for RMIConfig
impl UnwindSafe for RMIConfig
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