numexy v0.1.9 Numexy
Documentation for Numexy.
Link to this section Summary
Functions
Add vector or matrix.
Get index of max value.
Get index of max value row or col.
Avarage matrix or vector.
Division vector or matrix.
Calculate inner product.
Get matrix or vector value.
Multiplication vector or matrix.
New matrix.
Create ones matrix or vector.
Calculate outer product.
Get relu function value.
Reshape list.
Get sigmoid function value.
Get softmax function value.
Get step function value.
Subtraction vector or matrix.
Sum matrix or vector.
Calculate transpose matrix.
Create zeros matrix or vector.
Link to this section Functions
add(s, s)
Add vector or matrix.
Examples
iex> x = Numexy.new([1,2,3])
%Numexy.Array{array: [1,2,3], shape: {3, nil}}
iex> y = 4
iex> Numexy.add(x, y)
%Numexy.Array{array: [5,6,7], shape: {3, nil}}argmax(array)
Get index of max value.
Examples
iex> Numexy.new([[1,2,9],[4,5,6]]) |> Numexy.argmax
2argmax(array, atom)
Get index of max value row or col.
Examples
iex> Numexy.new([[1,2,9],[4,6,3]]) |> Numexy.argmax(:row)
[2, 1]
iex> Numexy.new([[1,2,9],[4,6,3]]) |> Numexy.argmax(:col)
[1, 1, 0]avg(array)
Avarage matrix or vector.
Examples
iex> Numexy.new([2,9,5]) |> Numexy.avg
5.333333333333333
iex> Numexy.new([[1,2,3],[4,5,6]]) |> Numexy.avg
3.5div(s, s)
Division vector or matrix.
Examples
iex> x = Numexy.new([8,4,2])
%Numexy.Array{array: [8,4,2], shape: {3, nil}}
iex> y = 4
iex> Numexy.div(x, y)
%Numexy.Array{array: [2.0,1.0,0.5], shape: {3, nil}}dot(array1, array2)
Calculate inner product.
Examples
iex> x = Numexy.new([1,2,3])
%Numexy.Array{array: [1,2,3], shape: {3, nil}}
iex> y = Numexy.new([1,2,3])
%Numexy.Array{array: [1,2,3], shape: {3, nil}}
iex> Numexy.dot(x, y)
14get(array, arg)
Get matrix or vector value.
Examples
iex> Numexy.new([2,9,5]) |> Numexy.get({2, nil})
9
iex> Numexy.new([[1,2,3],[4,5,6]]) |> Numexy.get({2, 1})
4mul(s, s)
Multiplication vector or matrix.
Examples
iex> x = Numexy.new([1,2,3])
%Numexy.Array{array: [1,2,3], shape: {3, nil}}
iex> y = 4
iex> Numexy.mul(x, y)
%Numexy.Array{array: [4,8,12], shape: {3, nil}}new(array)
New matrix.
Examples
iex> Numexy.new([1,2,3])
%Numexy.Array{array: [1, 2, 3], shape: {3, nil}}
iex> Numexy.new([[1,2,3],[1,2,3]])
%Numexy.Array{array: [[1, 2, 3], [1, 2, 3]], shape: {2, 3}}ones(arg)
Create ones matrix or vector.
Examples
iex> Numexy.ones({2, 3})
%Array{array: [[1, 1, 1], [1, 1, 1]], shape: {2, 3}}
iex> Numexy.ones({3, nil})
%Array{array: [1, 1, 1], shape: {3, nil}}outer(array1, array2)
Calculate outer product.
Examples
iex> Numexy.new([1,2,3,4]) |> Numexy.outer(Numexy.new([4,3,2,1]))
%Numexy.Array{array: [[4,3,2,1],[8,6,4,2],[12,9,6,3],[16,12,8,4]], shape: {4, 4}}relu(array)
Get relu function value.
Examples
iex> Numexy.new([-2,9,5]) |> Numexy.relu()
%Numexy.Array{array: [0, 9, 5], shape: {3, nil}}reshape(list, col)
Reshape list.
Examples
iex> Numexy.reshape([1,2,3,4,5,6], 3)
%Numexy.Array{array: [[1,2,3],[4,5,6]], shape: {2, 3}}sigmoid(array)
Get sigmoid function value.
Examples
iex> Numexy.new([-2,9,5]) |> Numexy.sigmoid()
%Numexy.Array{array: [0.11920292202211755, 0.9998766054240137, 0.9933071490757153], shape: {3, nil}}softmax(array)
Get softmax function value.
Examples
iex> Numexy.new([-2,9,5]) |> Numexy.softmax()
%Numexy.Array{array: [1.6401031494862326e-5, 0.9819976839988096, 0.017985914969695496], shape: {3, nil}}step_function(array)
Get step function value.
Examples
iex> Numexy.new([-2,9,5]) |> Numexy.step_function()
%Numexy.Array{array: [0, 1, 1], shape: {3, nil}}sub(s, s)
Subtraction vector or matrix.
Examples
iex> x = Numexy.new([1,2,3])
%Numexy.Array{array: [1,2,3], shape: {3, nil}}
iex> y = 4
iex> Numexy.sub(x, y)
%Numexy.Array{array: [-3,-2,-1], shape: {3, nil}}sum(array)
Sum matrix or vector.
Examples
iex> Numexy.new([2,9,5]) |> Numexy.sum
16
iex> Numexy.new([[1,2,3],[4,5,6]]) |> Numexy.sum
21transpose(array)
Calculate transpose matrix.
Examples
iex> x = Numexy.new([[4,3],[7,5],[2,7]])
%Array{array: [[4, 3], [7, 5], [2, 7]], shape: {3, 2}}
iex> Numexy.transpose(x)
%Array{array: [[4, 7, 2], [3, 5, 7]], shape: {2, 3}}zeros(arg)
Create zeros matrix or vector.
Examples
iex> Numexy.zeros({2, 3})
%Numexy.Array{array: [[0, 0, 0], [0, 0, 0]], shape: {2, 3}}
iex> Numexy.zeros({3, nil})
%Numexy.Array{array: [0, 0, 0], shape: {3, nil}}