Merge branch 'LARR-method' of https://github.com/HashirA123/recourse_benchmarks into LARR-method

HashirA123 · HashirA123 · commit a35714f5f929 · 2025-11-24T12:11:16.000-05:00
diff --git a/methods/catalog/larr/model.py b/methods/catalog/larr/model.py
@@ -206,6 +206,7 @@ def get_counterfactuals(self, factuals: pd.DataFrame) -> pd.DataFrame:
                 "The model did not predict any failures in the original training data. It cannot search for the Lambda parameter"
             )
 
+        recourse_needed_X_train = df_train_processed.iloc[np.where(preds_gpu_probs == 0)]
         # recourse_needed_X_train = df_train_processed.values[:5]
 
         # first choose the optimal lambda value
diff --git a/requirements-dev.txt b/requirements-dev.txt
@@ -33,4 +33,4 @@ tensorflow==1.14.0
 torch==1.7.0 -f https://download.pytorch.org/whl/torch_stable.html
 torchvision==0.8.1
 xgboost==1.4.2
-tqdm
+tqdm = 4.67.1

Original file line number	Diff line number	Diff line change
`@@ -206,6 +206,7 @@ def get_counterfactuals(self, factuals: pd.DataFrame) -> pd.DataFrame:`
`206`	`206`	`"The model did not predict any failures in the original training data. It cannot search for the Lambda parameter"`
`207`	`207`	`)`
`208`	`208`
	`209`	`+ recourse_needed_X_train = df_train_processed.iloc[np.where(preds_gpu_probs == 0)]`
`209`	`210`	`# recourse_needed_X_train = df_train_processed.values[:5]`
`210`	`211`
`211`	`212`	`# first choose the optimal lambda value`