From 4297c5830f18d248dfb31cf2b7023ea853db0add Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?J=C3=A9r=C3=B4me=20Benoit?= Date: Mon, 6 Jan 2025 01:59:45 +0100 Subject: [PATCH] docs(freqai): point link anchor to right section MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Jérôme Benoit --- docs/freqai.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/freqai.md b/docs/freqai.md index a81c9a81b..40b9d4b37 100644 --- a/docs/freqai.md +++ b/docs/freqai.md @@ -18,7 +18,7 @@ Features include: * **Extensibility** - The generalized and robust architecture allows for incorporating any [machine learning library/method](freqai-configuration.md#using-different-prediction-models) available in Python. Eight examples are currently available, including classifiers, regressors, and a convolutional neural network * **Smart outlier removal** - Remove outliers from training and prediction data sets using a variety of [outlier detection techniques](freqai-feature-engineering.md#outlier-detection) * **Crash resilience** - Store trained models to disk to make reloading from a crash fast and easy, and [purge obsolete files](freqai-running.md#purging-old-model-data) for sustained dry/live runs -* **Automatic data normalization** - [Normalize the data](freqai-feature-engineering.md#feature-normalization) in a smart and statistically safe way +* **Automatic data normalization** - [Normalize the data](freqai-feature-engineering.md#building-the-data-pipeline) in a smart and statistically safe way * **Automatic data download** - Compute timeranges for data downloads and update historic data (in live deployments) * **Cleaning of incoming data** - Handle NaNs safely before training and model inferencing * **Dimensionality reduction** - Reduce the size of the training data via [Principal Component Analysis](freqai-feature-engineering.md#data-dimensionality-reduction-with-principal-component-analysis)