[−][src]Struct simple_ml::MultivariantLinearRegression

pub struct MultivariantLinearRegression {
    pub header: Vec<String>,
    pub data: Vec<Vec<String>>,
    pub split_ratio: f64,
    pub alpha_learning_rate: f64,
    pub iterations: i32,
}

Fields

header: Vec<String>data: Vec<Vec<String>>split_ratio: f64alpha_learning_rate: f64iterations: i32

Implementations

impl MultivariantLinearRegression[src]

pub fn multivariant_linear_regression(&self)[src]

pub fn batch_gradient_descent(
    features: &Vec<Vec<f64>>,
    target: &Vec<f64>,
    theta: &Vec<f64>,
    alpha_lr: f64,
    max_iter: i32
) -> (Vec<f64>, Vec<f64>)[src]

pub fn hash_to_table<T: Copy + Debug>(
    d: &BTreeMap<String, Vec<T>>
) -> Vec<Vec<T>>[src]

Auto Trait Implementations

Blanket Implementations

impl<T> Any for T where
    T: 'static + ?Sized, [src]

impl<T> Borrow<T> for T where
    T: ?Sized, [src]

impl<T> BorrowMut<T> for T where
    T: ?Sized, [src]

impl<T> From<T> for T[src]

impl<T, U> Into<U> for T where
    U: From<T>, [src]

impl<T, U> TryFrom<U> for T where
    U: Into<T>, [src]

type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, [src]

type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<V, T> VZip<V> for T where
    V: MultiLane<T>,