MilesCranmer commited on
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Update todos

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  1. README.md +1 -1
README.md CHANGED
@@ -147,7 +147,6 @@ pd.DataFrame, Results dataframe, giving complexity, MSE, and equations
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  # TODO
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- - [ ] Make scaling of changes to constant a hyperparameter
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  - [ ] Calculate feature importances of future mutations, by looking at correlation between residual of model, and the features.
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  - Store feature importances of future, and periodically update it.
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  - [ ] Implement more parts of the original Eureqa algorithms: https://www.creativemachineslab.com/eureqa.html
@@ -160,6 +159,7 @@ pd.DataFrame, Results dataframe, giving complexity, MSE, and equations
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  - Current most expensive operations:
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  - [ ] Calculating the loss function - there is duplicate calculations happening.
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  - [x] Declaration of the weights array every iteration
 
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  - [x] Make deletion op join deleted subtree to parent
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  - [x] Update hall of fame every iteration?
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  - Seems to overfit early if we do this.
 
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148
  # TODO
149
 
 
150
  - [ ] Calculate feature importances of future mutations, by looking at correlation between residual of model, and the features.
151
  - Store feature importances of future, and periodically update it.
152
  - [ ] Implement more parts of the original Eureqa algorithms: https://www.creativemachineslab.com/eureqa.html
 
159
  - Current most expensive operations:
160
  - [ ] Calculating the loss function - there is duplicate calculations happening.
161
  - [x] Declaration of the weights array every iteration
162
+ - [x] Make scaling of changes to constant a hyperparameter
163
  - [x] Make deletion op join deleted subtree to parent
164
  - [x] Update hall of fame every iteration?
165
  - Seems to overfit early if we do this.