Struct MultiScaleModel 

pub struct MultiScaleModel {
    pub config: MultiScaleConfig,
    /* private fields */
}

Multi-Scale Temporal Model that processes signals at multiple resolutions.

Fields

config: MultiScaleConfig

Model configuration

Implementations

impl MultiScaleModel

pub fn new(config: MultiScaleConfig) -> ModelResult<Self>

Create a new multi-scale model

pub fn small() -> ModelResult<Self>

Small preset: 3 scales at [1, 4, 16], input/output dim 1

pub fn base() -> ModelResult<Self>

Base preset: 4 scales at [1, 2, 8, 32], input/output dim 1

Trait Implementations

impl AutoregressiveModel for MultiScaleModel

fn hidden_dim(&self) -> usize

Get the model’s hidden dimension

fn state_dim(&self) -> usize

Get the model’s state dimension (for SSMs)

fn num_layers(&self) -> usize

Get number of layers

fn model_type(&self) -> ModelType

Get model type identifier

fn get_states(&self) -> Vec<HiddenState>

Get current hidden states for all layers

fn set_states(&mut self, states: Vec<HiddenState>) -> ModelResult<()>

Set hidden states for all layers

fn load_weights_json(&mut self, _path: &Path) -> ModelResult<()>

Load weights from a JSON file (HashMap<String, Vec<f32>> format).

fn save_weights_json(&self, _path: &Path) -> ModelResult<()>

Save weights to a JSON file (HashMap<String, Vec<f32>> format).

impl SignalPredictor for MultiScaleModel

fn step(&mut self, input: &Array1<f32>) -> CoreResult<Array1<f32>>

Update hidden state and predict the next signal vector

fn reset(&mut self)

Reset the hidden state to initial values

fn context_window(&self) -> usize

Get the current context window size