isanet.optimizer.utils¶
-
isanet.optimizer.utils.l_norm(l_v)¶ Computes the norm of a list of numpy array.
- Parameters
l_v (array-like) –
- Returns
The norm of l_v.
- Return type
float
-
isanet.optimizer.utils.l_scalar_product(l_v, l_w)¶ Computes the scalar product between two list of numpy array.
- Parameters
l_v (array-like) –
l_w (array-like) –
- Returns
The scalar product between l_v and l_w.
- Return type
float
-
isanet.optimizer.utils.make_vector(l_v)¶ Takes a list of numpy array and returns a column vector.
- Parameters
l_v (array-like) –
- Returns
Array with dimensions (n, 1).
- Return type
array
-
isanet.optimizer.utils.restore_w_to_model(model, w)¶ - Takes an array of weights and transforms it into a list
of matrices with dimensions taken from the model passed.
- Parameters
model (isanet.model.MLP) – The Multilayer Perceptron object.
w (array) –
- Returns
- Return type
array-like