From ac3e061508083d7f5854c51a70aebbca19c4aa13 Mon Sep 17 00:00:00 2001 From: hroff-1902 Date: Tue, 3 Dec 2019 23:20:00 +0300 Subject: [PATCH] Resolve issues stated in the review --- docs/advanced-hyperopt.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/advanced-hyperopt.md b/docs/advanced-hyperopt.md index b69b671d2..4c0f91c77 100644 --- a/docs/advanced-hyperopt.md +++ b/docs/advanced-hyperopt.md @@ -1,15 +1,15 @@ # Advanced Hyperopt -This page explains some advanced Hyperopt issues that may require higher +This page explains some advanced Hyperopt topics that may require higher coding skills and Python knowledge than creation of an ordinal hyperoptimization class. ## Creating and using a custom loss function 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 fuction 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 [user_data/hyperopts/](https://github.com/freqtrade/freqtrade/blob/develop/user_data/hyperopts/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 [freqtrade/templates/](https://github.com/freqtrade/freqtrade/blob/develop/freqtrade/templates/sample_hyperopt_loss.py) ``` python from freqtrade.optimize.hyperopt import IHyperOptLoss