[−][src]Trait smartcore::linalg::BaseVector
Column or row vector
Required methods
pub fn get(&self, i: usize) -> T
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Get an element of a vector
i
- index of an element
pub fn set(&mut self, i: usize, x: T)
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Set an element at i
to x
i
- index of an elementx
- new value
pub fn len(&self) -> usize
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Get number of elevemnt in the vector
pub fn to_vec(&self) -> Vec<T>
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Return a vector with the elements of the one-dimensional array.
pub fn zeros(len: usize) -> Self
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Create new vector with zeros of size len
.
pub fn ones(len: usize) -> Self
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Create new vector with ones of size len
.
pub fn fill(len: usize, value: T) -> Self
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Create new vector of size len
where each element is set to value
.
pub fn dot(&self, other: &Self) -> T
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Vector dot product
pub fn approximate_eq(&self, other: &Self, error: T) -> bool
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Returns True if matrices are element-wise equal within a tolerance error
.
pub fn norm2(&self) -> T
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Returns [L2 norm] of the vector(https://en.wikipedia.org/wiki/Matrix_norm).
pub fn norm(&self, p: T) -> T
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Returns vectors norm of order p
.
pub fn div_element_mut(&mut self, pos: usize, x: T)
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Divide single element of the vector by x
, write result to original vector.
pub fn mul_element_mut(&mut self, pos: usize, x: T)
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Multiply single element of the vector by x
, write result to original vector.
pub fn add_element_mut(&mut self, pos: usize, x: T)
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Add single element of the vector to x
, write result to original vector.
pub fn sub_element_mut(&mut self, pos: usize, x: T)
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Subtract x
from single element of the vector, write result to original vector.
pub fn add_mut(&mut self, other: &Self) -> &Self
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Add vectors, element-wise, overriding original vector with result.
pub fn sub_mut(&mut self, other: &Self) -> &Self
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Subtract vectors, element-wise, overriding original vector with result.
pub fn mul_mut(&mut self, other: &Self) -> &Self
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Multiply vectors, element-wise, overriding original vector with result.
pub fn div_mut(&mut self, other: &Self) -> &Self
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Divide vectors, element-wise, overriding original vector with result.
pub fn sum(&self) -> T
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Calculates sum of all elements of the vector.
pub fn unique(&self) -> Vec<T>
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Returns unique values from the vector.
use smartcore::linalg::naive::dense_matrix::*; let a = vec!(1., 2., 2., -2., -6., -7., 2., 3., 4.); assert_eq!(a.unique(), vec![-7., -6., -2., 1., 2., 3., 4.]);
pub fn copy_from(&mut self, other: &Self)
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Copies content of other
vector.
Provided methods
pub fn is_empty(&self) -> bool
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Returns true if the vector is empty.
pub fn from_array(f: &[T]) -> Self
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Create a new vector from a &[T]
use smartcore::linalg::naive::dense_matrix::*; let a: [f64; 5] = [0., 0.5, 2., 3., 4.]; let v: Vec<f64> = BaseVector::from_array(&a); assert_eq!(v, vec![0., 0.5, 2., 3., 4.]);
pub fn sub_scalar_mut(&mut self, x: T) -> &Self
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Subtract scalar
pub fn add_scalar_mut(&mut self, x: T) -> &Self
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Subtract scalar
pub fn mul_scalar_mut(&mut self, x: T) -> &Self
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Subtract scalar
pub fn div_scalar_mut(&mut self, x: T) -> &Self
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Subtract scalar
pub fn add_scalar(&self, x: T) -> Self
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Add vectors, element-wise
pub fn sub_scalar(&self, x: T) -> Self
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Subtract vectors, element-wise
pub fn mul_scalar(&self, x: T) -> Self
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Multiply vectors, element-wise
pub fn div_scalar(&self, x: T) -> Self
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Divide vectors, element-wise
pub fn add(&self, other: &Self) -> Self
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Add vectors, element-wise
pub fn sub(&self, other: &Self) -> Self
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Subtract vectors, element-wise
pub fn mul(&self, other: &Self) -> Self
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Multiply vectors, element-wise
pub fn div(&self, other: &Self) -> Self
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Divide vectors, element-wise
pub fn mean(&self) -> T
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Computes the arithmetic mean.
pub fn var(&self) -> T
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Computes variance.
pub fn std(&self) -> T
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Computes the standard deviation.
pub fn take(&self, index: &[usize]) -> Self
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Take elements from an array.