Struct tangram_features::normalized::NormalizedFeatureGroup

pub struct NormalizedFeatureGroup {
    pub source_column_name: String,
    pub mean: f32,
    pub variance: f32,
}

A NormalizedFeatureGroup transforms a number column to zero mean and unit variance. [Learn more](https://en.wikipedia.org/wiki/Feature_scaling#Standardization_(Z-score_Normalization).

Example

use tangram_table::prelude::*;

NumberTableColumn::new(
  Some("values".to_owned()),
  vec![0.0, 5.2, 1.3, 10.0],
);

Mean: 2.16667

Standard Deviation: 2.70617

feature_value = (value - mean) / std

input value	feature value
0.0	(0.0 - 2.16667) / 2.70617 = -0.80064
5.2	(5.2 - 2.16667) / 2.70617 = 1.12089
1.3	(1.3 - 2.16667) / 2.70617 = -0.32026

Fields

source_column_name: String

mean: f32

variance: f32

Implementations

impl NormalizedFeatureGroup

pub fn compute_for_column(column: TableColumnView<'_>) -> NormalizedFeatureGroup

impl NormalizedFeatureGroup

pub fn compute_table(
    &self,
    column: TableColumnView<'_>,
    progress: &impl Fn(u64)
) -> TableColumn

pub fn compute_array_f32(
    &self,
    features: ArrayViewMut2<'_, f32>,
    column: TableColumnView<'_>,
    progress: &impl Fn()
)

pub fn compute_array_value(
    &self,
    features: ArrayViewMut2<'_, TableValue<'_>>,
    column: TableColumnView<'_>,
    progress: &impl Fn()
)

Trait Implementations

impl Clone for NormalizedFeatureGroup

fn clone(&self) -> NormalizedFeatureGroup

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for NormalizedFeatureGroup

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

Formats the value using the given formatter.