From 5ffa3cb9ba4dfb448fb42d21eb8efd0b585c4205 Mon Sep 17 00:00:00 2001 From: Matthias Date: Mon, 10 Oct 2022 18:11:32 +0200 Subject: [PATCH] Update docs to mention `freqaimodels` directory closes #7570 --- docs/freqai-configuration.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/docs/freqai-configuration.md b/docs/freqai-configuration.md index d24c60057..737f64824 100644 --- a/docs/freqai-configuration.md +++ b/docs/freqai-configuration.md @@ -206,6 +206,9 @@ If this value is set, FreqAI will initially use the predictions from the trainin FreqAI has multiple example prediction model libraries that are ready to be used as is via the flag `--freqaimodel`. These libraries include `Catboost`, `LightGBM`, and `XGBoost` regression, classification, and multi-target models, and can be found in `freqai/prediction_models/`. However, it is possible to customize and create your own prediction models using the `IFreqaiModel` class. You are encouraged to inherit `fit()`, `train()`, and `predict()` to let these customize various aspects of the training procedures. +You can place custom FreqAI models in `user_data/freqaimodels` - and freqtrade will pick them up from there based on the provided `--freqaimodel` name - which has to correspond to the class name of your custom model. +Make sure to use unique names to avoid overriding built-in models. + ### Setting classifier targets FreqAI includes a variety of classifiers, such as the `CatboostClassifier` via the flag `--freqaimodel CatboostClassifier`. If you elects to use a classifier, the classes need to be set using strings. For example: