docs: update README.md for new tunable

Signed-off-by: Jérôme Benoit <jerome.benoit@piment-noir.org>

diff --git a/README.md b/README.md
index 95e865652a00c4deabfdeaf8e5cac4576719d19b..29d74a231542aed474f84646715ad3e0d5c52868 100644 (file)
--- a/README.md
+++ b/README.md
@@ -75,7 +75,7 @@ docker compose up -d --build
 | freqai.feature_parameters.label_knn_p_order          | `None`            | float                                                                                                                            | p-order for KNN Minkowski metric distance. (optional)                                                                                                                                                      |
 | freqai.feature_parameters.label_knn_n_neighbors      | 5                 | int >= 1                                                                                                                         | Number of neighbors for KNN.                                                                                                                                                                               |
 | _Prediction thresholds_                              |                   |                                                                                                                                  |                                                                                                                                                                                                            |
-| freqai.prediction_extrema_selection                  | `extrema_rank`    | enum {`peak_values`,`extrema_rank`}                                                                                              | Extrema selection method. `peak_values` uses detected peaks, `extrema_rank` uses ranked extrema values.                                                                                                    |
+| freqai.prediction_extrema_selection                  | `extrema_rank`    | enum {`peak_values`,`extrema_rank`,`partition`}                                                                                  | Extrema selection method. `peak_values` uses detected peaks, `extrema_rank` uses ranked extrema values, `partition` uses sign-based extrema partitioning.                                                  |
 | freqai.prediction_thresholds_smoothing               | `mean`            | enum {`mean`,`isodata`,`li`,`minimum`,`otsu`,`triangle`,`yen`,`soft_extremum`}                                                   | Thresholding method for prediction thresholds smoothing.                                                                                                                                                   |
 | freqai.prediction_thresholds_alpha                   | 12.0              | float > 0                                                                                                                        | Alpha for `soft_extremum`.                                                                                                                                                                                 |
 | freqai.outlier_threshold                             | 0.999             | float (0,1)                                                                                                                      | Quantile threshold for predictions outlier filtering.                                                                                                                                                      |