From 8a7fe3f1d69ddd82465f9b58ccec8104160c963a Mon Sep 17 00:00:00 2001 From: Matthias Date: Wed, 4 Dec 2019 07:01:09 +0100 Subject: [PATCH] The file will (for users) be in user_data - just in the repo it's in templates --- docs/advanced-hyperopt.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/advanced-hyperopt.md b/docs/advanced-hyperopt.md index 4c0f91c77..20af0aaab 100644 --- a/docs/advanced-hyperopt.md +++ b/docs/advanced-hyperopt.md @@ -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. 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 from freqtrade.optimize.hyperopt import IHyperOptLoss