The file will (for users) be in user_data - just in the repo it's in
templates
This commit is contained in:
parent
ac3e061508
commit
8a7fe3f1d6
@ -9,7 +9,7 @@ class.
|
|||||||
To use a custom loss function class, make sure that the function `hyperopt_loss_function` is defined in your custom hyperopt loss class.
|
To use a custom loss function class, make sure that the function `hyperopt_loss_function` is defined in your custom hyperopt loss class.
|
||||||
For the sample below, you then need to add the command line parameter `--hyperopt-loss SuperDuperHyperOptLoss` to your hyperopt call so this function is being used.
|
For the sample below, you then need to add the command line parameter `--hyperopt-loss SuperDuperHyperOptLoss` to your hyperopt call so this function is being used.
|
||||||
|
|
||||||
A sample of this can be found below, which is identical to the Default Hyperopt loss implementation. A full sample can be found in [freqtrade/templates/](https://github.com/freqtrade/freqtrade/blob/develop/freqtrade/templates/sample_hyperopt_loss.py)
|
A sample of this can be found below, which is identical to the Default Hyperopt loss implementation. A full sample can be found in [userdata/hyperopts](https://github.com/freqtrade/freqtrade/blob/develop/freqtrade/templates/sample_hyperopt_loss.py).
|
||||||
|
|
||||||
``` python
|
``` python
|
||||||
from freqtrade.optimize.hyperopt import IHyperOptLoss
|
from freqtrade.optimize.hyperopt import IHyperOptLoss
|
||||||
|
Loading…
Reference in New Issue
Block a user