From: Jérôme Benoit Date: Sat, 13 Dec 2025 02:32:59 +0000 (+0100) Subject: docs: refine README.md description of extrema selection methods X-Git-Url: https://git.piment-noir.org/?a=commitdiff_plain;h=492d13e1c5a8d09eecb840c3395fd0052acdd683;p=freqai-strategies.git docs: refine README.md description of extrema selection methods Signed-off-by: Jérôme Benoit --- diff --git a/README.md b/README.md index 5db40ad..3855def 100644 --- a/README.md +++ b/README.md @@ -95,7 +95,7 @@ docker compose up -d --build | freqai.feature_parameters.label_knn_p_order | `None` | float \| None | Tunable for KNN neighbor distances aggregation methods: p-order (`knn_power_mean`, default: 1.0) or quantile (`knn_quantile`, default: 0.5). (optional) | | freqai.feature_parameters.label_knn_n_neighbors | 5 | int >= 1 | Number of neighbors for KNN. | | _Predictions extrema_ | | | | -| freqai.predictions_extrema.selection_method | `rank` | enum {`rank`,`values`,`partition`} | Extrema selection method. `values` uses reversal values, `rank` uses ranked extrema values, `partition` uses sign-based partitioning. | +| freqai.predictions_extrema.selection_method | `rank` | enum {`rank`,`values`,`partition`} | Extrema selection method. `rank` uses ranked extrema values, `values` uses reversal values, `partition` uses sign-based partitioning. | | freqai.predictions_extrema.thresholds_smoothing | `mean` | enum {`mean`,`isodata`,`li`,`minimum`,`otsu`,`triangle`,`yen`,`median`,`soft_extremum`} | Thresholding method for prediction thresholds smoothing. | | freqai.predictions_extrema.thresholds_alpha | 12.0 | float > 0 | Alpha for `soft_extremum`. | | freqai.predictions_extrema.threshold_outlier | 0.999 | float (0,1) | Quantile threshold for predictions outlier filtering. |