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docs: fix typo

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@ -304,7 +304,7 @@ The default implementation uses no scaling or transformations.
- `assign_clusters(df)` [*function*]: Must return a vector of length - `assign_clusters(df)` [*function*]: Must return a vector of length
`nrow(predictions)` that contains cluster labels as 0/1. According to these `nrow(predictions)` that contains cluster labels as 0/1. According to these
labels, two separate models will be used for inference and training. Cluster labels, two separate models will be used for inference and training. Cluster
assignemnts can e.g. be done for the reactive and non reactive parts of the assignments can e.g. be done for the reactive and non reactive parts of the
field. field.
- `model_reactive_file_path` [*string*]: Path to the Keras model file with - `model_reactive_file_path` [*string*]: Path to the Keras model file with