From 6fe134df487d273e668ff037bc889ac5d899f670 Mon Sep 17 00:00:00 2001 From: Matthias Date: Sat, 30 May 2026 09:20:53 +0200 Subject: [PATCH] docs: remove additional whitespaces --- docs/strategy_migration.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/docs/strategy_migration.md b/docs/strategy_migration.md index 6f5bd1a07..d70b7000f 100644 --- a/docs/strategy_migration.md +++ b/docs/strategy_migration.md @@ -730,7 +730,6 @@ Targets now get their own, dedicated method. return dataframe ``` - ### FreqAI - New data Pipeline If you have created your own custom `IFreqaiModel` with a custom `train()`/`predict()` function, *and* you still rely on `data_cleaning_train/predict()`, then you will need to migrate to the new pipeline. If your model does *not* rely on `data_cleaning_train/predict()`, then you do not need to worry about this migration. That means that this migration guide is relevant for a very small percentage of power-users. If you stumbled upon this guide by mistake, feel free to inquire in depth about your problem in the Freqtrade discord server. @@ -808,7 +807,6 @@ class MyCoolFreqaiModel(BaseRegressionModel): return (pred_df, dk.do_predict) ``` - 1. Data normalization and cleaning is now homogenized with the new pipeline definition. This is created in the new `define_data_pipeline()` and `define_label_pipeline()` functions. The `data_cleaning_train()` and `data_cleaning_predict()` functions are no longer used. You can override `define_data_pipeline()` to create your own custom pipeline if you wish. 2. Data normalization and cleaning is now homogenized with the new pipeline definition. This is created in the new `define_data_pipeline()` and `define_label_pipeline()` functions. The `data_cleaning_train()` and `data_cleaning_predict()` functions are no longer used. You can override `define_data_pipeline()` to create your own custom pipeline if you wish. 3. Data denormalization is done with the new pipeline. Replace this with the lines below.