tensor v1.1.0 Vector

Summary

Functions

add(a, b)

See Tensor.add/2

add_number(a, b)

See Tensor.add_number/2

add_vector(vector_a, vector_b)

Elementwise addition of vectors vector_a and vector_b

dense_map_with_coordinates(vector, function)

See Tensor.dense_map_with_coordinates/2

div(a, b)

See Tensor.div/2

div_number(a, b)

See Tensor.div_number/2

div_vector(vector_a, vector_b)

Elementwise division of vector_a and vector_b. Make sure that the identity of vector_b isn’t 0 before doing this

dot_product(arg1, arg2)

fetch(vector, index)

Returns the element at index from vector

from_list(list, identity \\ 0)

get(vector, index, default)

Returns the element at index from vector. If index is out of bounds, returns default

get_and_update(vector, index, function)

See Tensor.get_and_update/3

identity(vector)

Returns the current identity of vector vector

length(vector)

lift(vector)

See Tensor.lift/1

map(vector, function)

See Tensor.map/2

merge(vector_a, vector_b, function)

See Tensor.merge/3

merge_with_index(vector_a, vector_b, function)

See Tensor.merge_with_index/3

mul(a, b)

See Tensor.mul/2

mul_number(a, b)

See Tensor.mul_number/2

mul_vector(vector_a, vector_b)

Elementwise multiplication of vector_a with vector_b

new()

new(length_or_list_or_range, identity \\ 0)

pop(vector, index, default)

See Tensor.pop/3

reverse(tensor)

sparse_map_with_coordinates(vector, function)

See Tensor.sparse_map_with_coordinates/2

sub(a, b)

See Tensor.sub/2

sub_number(a, b)

See Tensor.sub_number/2

sub_vector(vector_a, vector_b)

Elementwise subtraction of vector_b from vector_a

to_list(vector)

See Tensor.to_list/1

vector?(a)

true if a is a Vector

with_coordinates(vector)

See Tensor.with_coordinates/1

Functions

add(a, b)

See Tensor.add/2.

add_number(a, b)

See Tensor.add_number/2.

add_vector(vector_a, vector_b)

Elementwise addition of vectors vector_a and vector_b.

dense_map_with_coordinates(vector, function)

See Tensor.dense_map_with_coordinates/2.

div(a, b)

See Tensor.div/2.

div_number(a, b)

See Tensor.div_number/2.

div_vector(vector_a, vector_b)

Elementwise division of vector_a and vector_b. Make sure that the identity of vector_b isn’t 0 before doing this.

dot_product(arg1, arg2)

fetch(vector, index)

Returns the element at index from vector.

from_list(list, identity \\ 0)

get(vector, index, default)

Returns the element at index from vector. If index is out of bounds, returns default.

get_and_update(vector, index, function)

See Tensor.get_and_update/3.

identity(vector)

Returns the current identity of vector vector.

length(vector)

lift(vector)

See Tensor.lift/1.

map(vector, function)

See Tensor.map/2.

merge(vector_a, vector_b, function)

See Tensor.merge/3.

merge_with_index(vector_a, vector_b, function)

See Tensor.merge_with_index/3.

mul(a, b)

See Tensor.mul/2.

mul_number(a, b)

See Tensor.mul_number/2.

mul_vector(vector_a, vector_b)

Elementwise multiplication of vector_a with vector_b.

new()

new(length_or_list_or_range, identity \\ 0)

pop(vector, index, default)

See Tensor.pop/3.

reverse(tensor)

sparse_map_with_coordinates(vector, function)

See Tensor.sparse_map_with_coordinates/2.

sub(a, b)

See Tensor.sub/2.

sub_number(a, b)

See Tensor.sub_number/2.

sub_vector(vector_a, vector_b)

Elementwise subtraction of vector_b from vector_a.

to_list(vector)

See Tensor.to_list/1.

vector?(a)

true if a is a Vector.

with_coordinates(vector)

See Tensor.with_coordinates/1.