From: Jérôme Benoit Date: Fri, 21 Nov 2025 17:00:10 +0000 (+0100) Subject: docs: refine README.md X-Git-Url: https://git.piment-noir.org/?a=commitdiff_plain;h=5a3dea1f18b39532ab0840ac6f4f154124ca5f31;p=freqai-strategies.git docs: refine README.md Signed-off-by: Jérôme Benoit --- diff --git a/README.md b/README.md index f124648..1a19d8a 100644 --- a/README.md +++ b/README.md @@ -60,8 +60,8 @@ docker compose up -d --build | freqai.extrema_weighting.normalization | `minmax` | enum {`minmax`,`zscore`,`l1`,`l2`,`robust`,`softmax`,`tanh`,`rank`,`none`} | Normalization method for weights. | | freqai.extrema_weighting.gamma | 1.0 | float (0,10] | Contrast exponent applied after normalization (>1 emphasizes extremes, 0 0 | Temperature parameter for softmax normalization (lower values sharpen distribution, higher values flatten it). | -| freqai.extrema_weighting.tanh_scale | 1.0 | float > 0 | Scale parameter for tanh normalization applied to z-scores before tanh transformation (higher values make tanh steeper, lower values make it gentler). | -| freqai.extrema_weighting.tanh_gain | 0.5 | float > 0 | Gain parameter for tanh normalization that replaces the default 0.5 scaling factor (controls output range after tanh transformation). | +| freqai.extrema_weighting.tanh_scale | 1.0 | float > 0 | Scale parameter for tanh normalization. | +| freqai.extrema_weighting.tanh_gain | 0.5 | float > 0 | Gain parameter for tanh normalization. | | freqai.extrema_weighting.robust_quantiles | [0.25, 0.75] | list[float] where 0 <= q_low < q_high <= 1 | Quantile range for robust normalization. | | freqai.extrema_weighting.rank_method | `average` | enum {`average`,`min`,`max`,`dense`,`ordinal`} | Ranking method for rank normalization. | | _Feature parameters_ | | | |