From 0510ff06a24683038f789b388140d0817dcc83aa Mon Sep 17 00:00:00 2001 From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= Date: Fri, 21 Nov 2025 17:10:26 +0100 Subject: [PATCH] docs: refine README MIME-Version: 1.0 Content-Type: text/plain; charset=utf8 Content-Transfer-Encoding: 8bit Signed-off-by: Jérôme Benoit --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index c54a82d..d2b5f80 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.robust_quantiles | [0.25, 0.75] | tuple[float, float] where 0 <= q_low < q_high <= 1 | Quantile range for robust normalization (IQR-based scaling). | -| freqai.extrema_weighting.rank_method | `average` | enum {`average`,`min`,`max`,`dense`,`ordinal`} | Ranking method for rank normalization (how tied values are handled). | +| 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_ | | | | | freqai.feature_parameters.label_period_candles | min/max midpoint | int >= 1 | Zigzag labeling NATR horizon. | | freqai.feature_parameters.min_label_period_candles | 12 | int >= 1 | Minimum labeling NATR horizon used for reversals labeling HPO. | -- 2.43.0