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deep learning notebook, lots of fixes

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Pawel Sarkowicz
2026-03-29 16:56:30 -04:00
parent 3ab9b77bb7
commit e7b5db56d2
22 changed files with 1444 additions and 10206 deletions
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README.md
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@@ -91,7 +91,6 @@ Go to your working directory and run notebooks in order:
Note:
* Notebooks 01-03 are uploaded with all of their cells run, so that one can see the data analysis. Notebooks 04-06 are uploaded without having been run.
* Notebook 03 generates hold difficulty tables
* Notebook 04 generates feature matrix
* Notebook 05 trains models
@@ -248,7 +247,7 @@ Here are some relationships between features and difficulty
![Correlation Heatmap](images/04_climb_features/feature_correlations.png)
* higher angles allow for harder difficulties
* distance between holds seems to correlate with difficulty
* distance between holds seems to relate to difficulty
* geometric and structural features capture non-trivial climbing patterns
We have a full feature list in [`data/04_climb_features/feature_list.txt`](data/04_climb_features/feature_list.txt). Explanations are available in [`data/04_climb_features/feature_explanations.txt`](data/04_climb_features/feature_explanations.txt).
@@ -337,7 +336,6 @@ The model can still predict subgrades (e.g., V3 contains 6a and 6a+), but it is
# Future Work
* Unified grade prediction across boards
* Combined board analysis
* Test other models
* Better spatial features
* GUI to create climb and instantly tell you a predicted difficulty