Struct TaskFeatures 

pub struct TaskFeatures {
    pub data_size: Option<usize>,
    pub noise_level: Option<f32>,
    pub complexity: Option<f32>,
    pub is_classification: bool,
    pub input_dim: Option<usize>,
    pub output_dim: Option<usize>,
    pub domain: Option<String>,
}

Features describing a learning task.

Fields

data_size: Option<usize>

Number of training examples.

noise_level: Option<f32>

Estimated noise level (0.0 to 1.0).

complexity: Option<f32>

Task complexity (0.0 to 1.0).

is_classification: bool

Whether this is classification (vs regression).

input_dim: Option<usize>

Number of input features.

output_dim: Option<usize>

Number of output classes/values.

domain: Option<String>

Domain identifier.

Implementations

impl TaskFeatures

pub fn new() -> Self

Create new task features.

pub fn with_data_size(self, size: usize) -> Self

Set data size.

pub fn with_noise(self, noise: f32) -> Self

Set noise level.

pub fn with_complexity(self, complexity: f32) -> Self

Set complexity.

pub fn classification(self) -> Self

Set classification flag.

pub fn regression(self) -> Self

Set regression flag.

pub fn with_domain(self, domain: impl Into<String>) -> Self

Set domain.

Trait Implementations

impl Clone for TaskFeatures

fn clone(&self) -> TaskFeatures

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TaskFeatures

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

Formats the value using the given formatter.

impl Default for TaskFeatures

fn default() -> TaskFeatures

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for TaskFeatures

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for TaskFeatures

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

where __S: Serializer,

Serialize this value into the given Serde serializer.