Sachin_ruk - 7 months ago 26

Python Question

I need to obtain a list of functions, where my function is defined as follows:

`import theano.tensor as tt`

def tilted_loss(y,f,q):

e = (y-f)

return q*tt.sum(e)-tt.sum(e[e<0])

I attempted to do

`qs = np.arange(0.05,1,0.05)`

q_loss_f = [tilted_loss(q=q) for q in qs]

however, get the error

`TypeError: tilted_loss() missing 2 required positional arguments: 'y' and 'f'`

`a = tilted_loss(q=0.05)`

How do you go about creating this list of functions when parameters are required? Similar questions on SO consider the case where parameters are not involved.

Answer

You can use `functools.partial`

:

```
q_loss_f = [functools.partial(tilted_loss, q=q) for q in qs]
```