Class: Vectors

eclairjs/mllib/linalg. Vectors

new Vectors()

Source:

Methods

dense(…values) → {module:eclairjs/mllib/linalg.Vector}

Creates a dense vector from a double array.
Parameters:
Name Type Attributes Description
values float <repeatable>
 Array of floats or float1, ....., floatN
Source:
Returns:
Type
module:eclairjs/mllib/linalg.Vector

fromJson(json) → {module:eclairjs/mllib/linalg.Vector}

Parses the JSON representation of a vector into a module:eclairjs/mllib/linalg.Vector.
Parameters:
Name Type Description
json string
Source:
Returns:
Type
module:eclairjs/mllib/linalg.Vector

norm(vector, p) → {float}

Returns the p-norm of this vector.
Parameters:
Name Type Description
vector module:eclairjs/mllib/linalg.Vector input vector.
p float norm.
Source:
Returns:
norm in L^p^ space.
Type
float

parse(s) → {module:eclairjs/mllib/linalg.Vector}

Parses a string resulted from [[Vector.toString]] into a module:eclairjs/mllib/linalg.Vector.
Parameters:
Name Type Description
s string
Source:
Returns:
Type
module:eclairjs/mllib/linalg.Vector

sparse(size, indices, values) → {module:eclairjs/mllib/linalg.Vector}

Creates a sparse vector providing its index array and value array.
Parameters:
Name Type Description
size integer vector size.
indices Array.<integer> index array, must be strictly increasing.
values Array.<float> value array, must have the same length as indices.
Source:
Returns:
Type
module:eclairjs/mllib/linalg.Vector

sqdist(v1, v2) → {float}

Returns the squared distance between two Vectors.
Parameters:
Name Type Description
v1 module:eclairjs/mllib/linalg.Vector first Vector.
v2 module:eclairjs/mllib/linalg.Vector second Vector.
Source:
Returns:
squared distance between two Vectors.
Type
float

zeros(size) → {module:eclairjs/mllib/linalg.Vector}

Creates a vector of all zeros.
Parameters:
Name Type Description
size integer vector size
Source:
Returns:
a zero vector
Type
module:eclairjs/mllib/linalg.Vector