A numpy-like Matrix/Array module for Node JS. Browser support coming soon.
In your terminal, type this command to install the module.
npm install numpy-matrix-js
After that, add this following code to the top of your file to import it.
const np = require('numpy-matrix-js')
After this, you can now use the functions available in the module.
np.zeros(rows, cols)
Creates a new matrix/2d array filled with 0 If you only give 1 parameter, it creates a 1d array.
| Parameters | What it is | Required |
|---|---|---|
| rows | number of rows in your array | yes |
| cols | number of columns in your array | no |
np.random.rand(rows, cols)
Creates a new matrix/2d array of random values
| Parameters | What it is | Required |
|---|---|---|
| rows | number of rows in your array | yes |
| cols | number of columns in your array | yes |
np.matmul(a, b)
Multiplies 2 matrices together and returns the result.
Note: Like linear algebra, the columns of the first matrix must match the rows of the second matrix.
| Parameters | What it is | Required |
|---|---|---|
| a | First matrix | Yes |
| b | Second matrix | Yes |
np.add(a,b)
Adds 2 matrices together and returns the result.
Note: Like linear algebra, the dimensions of both matrices needs to match.
| Parameters | What it is | Required |
|---|---|---|
| a | First matrix | Yes |
| b | Second matrix | Yes |
np.subtract(a,b)
Subtracts 2 matrices and returns the result.
Note: Like linear algebra, the dimensions of both matrices needs to match.
| Parameters | What it is | Required |
|---|---|---|
| a | First matrix | Yes |
| b | Second matrix | Yes |
np.transpose(a)
Returns the transposed version of the matrix "a".
| Parameters | What it is | Required |
|---|---|---|
| a | Input matrix which needs to be transposed | Yes |
np.sigmoid(x)
Returns the sigmoid value of whatever "x" value you input
np.dsigmoid(x)
Returns the dsigmoid value of whatever "x" value you input
np.tanh(x)
Returns the hyperbolic tangent value of whatever "x" value you input
np.softmax(inputs)
Applies the softmax function to the inputs array and returns the new result as an array.