Struct MLPConfig 

pub struct MLPConfig {
    pub hidden_layer_sizes: Vec<usize>,
    pub learning_rate: Float,
    pub max_iter: usize,
    pub dropout: Float,
    pub batch_size: usize,
    pub alpha: Float,
    pub activation: String,
    pub solver: String,
}

Example neural network configuration with complex validation

Fields

hidden_layer_sizes: Vec<usize>

Hidden layer sizes

learning_rate: Float

Learning rate

max_iter: usize

Maximum number of iterations

dropout: Float

Dropout probability

batch_size: usize

Batch size

alpha: Float

L2 regularization

activation: String

Activation function

solver: String

Solver

Trait Implementations

impl Clone for MLPConfig

fn clone(&self) -> MLPConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl ConfigValidation for MLPConfig

fn validate_config(&self) -> Result<()>

Validate the entire configuration

fn get_warnings(&self) -> Vec<String>

Get validation warnings (non-fatal issues)

impl Debug for MLPConfig

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

Formats the value using the given formatter.

impl Default for MLPConfig

fn default() -> Self

Returns the “default value” for a type.

impl Validate for MLPConfig

fn validate(&self) -> Result<()>

Validate all parameters and return an error if any validation fails

fn validate_with_context(&self, context: &str) -> Result<()>

Validate and provide detailed error information