docs: refine wording

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

diff --git a/README.md b/README.md
index f27063fd3da952f4bba9e6f73b972dafa2934e4e..c44259b274d6a78d8b110e9382525511f06de37b 100644 (file)
--- a/README.md
+++ b/README.md
@@ -58,7 +58,7 @@ docker compose up -d --build
 | _Extrema weighting_                                  |                   |                                                                                                                                  |                                                                                                                                                                                                                                                                                     |
 | freqai.extrema_weighting.strategy                    | `none`            | enum {`none`,`amplitude`,`amplitude_excess`}                                                                                     | Extrema weighting source: unweighted (`none`), swing amplitude (`amplitude`), or volatility-adjusted swing amplitude (`amplitude_excess`).                                                                                                                                          |
 | 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<gamma<1 softens).                                                                                                                                                                                          |
+| freqai.extrema_weighting.gamma                       | 1.0               | float (0,10]                                                                                                                     | Contrast exponent applied after normalization (>1 emphasizes extrema, 0<gamma<1 softens).                                                                                                                                                                                           |
 | freqai.extrema_weighting.softmax_temperature         | 1.0               | float > 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.                                                                                                                                                                                                                                             |
 | freqai.extrema_weighting.tanh_gain                   | 1.0               | float > 0                                                                                                                        | Gain parameter for tanh normalization.                                                                                                                                                                                                                                              |

diff --git a/ReforceXY/reward_space_analysis/README.md b/ReforceXY/reward_space_analysis/README.md
index b77b64ba1470737876f1d20f6f9271805e3a542a..81dd5714fc4ffb21420dc11268a8e9c9e15618a0 100644 (file)
--- a/ReforceXY/reward_space_analysis/README.md
+++ b/ReforceXY/reward_space_analysis/README.md
@@ -114,7 +114,7 @@ uv run python reward_space_analysis.py \
   --out_dir debug_analysis
 ```
 
-Focus: feature importance, shaping activation, invariance drift, extremes.
+Focus: feature importance, shaping activation, invariance drift, extrema.
 
 ### 4. Real vs Synthetic
 

diff --git a/ReforceXY/reward_space_analysis/tests/robustness/test_robustness.py b/ReforceXY/reward_space_analysis/tests/robustness/test_robustness.py
index 3d5ae5eb4be8bce8516d008941bd11d888803ce8..cbe4fee14f36fe5cd76339d5cc4794ef98e2faab 100644 (file)
--- a/ReforceXY/reward_space_analysis/tests/robustness/test_robustness.py
+++ b/ReforceXY/reward_space_analysis/tests/robustness/test_robustness.py
@@ -344,7 +344,7 @@ class TestRewardRobustnessAndBoundaries(RewardSpaceTestBase):
                 self.assertFinite(br.total, name="breakdown.total")
 
     def test_exit_factor_boundary_parameters(self):
-        """Test parameter edge cases: tau extremes, plateau grace edges, slope zero."""
+        """Test parameter edge cases: tau extrema, plateau grace edges, slope zero."""
         base_factor = 50.0
         pnl = 0.02
         pnl_factor = 1.0