Dropped NaNs

DataScientest-Studio · May 9, 2024 · d7ea1f1 · d7ea1f1
1 parent 65505d1
commit d7ea1f1
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Showing 2 changed files with 3 additions and 3 deletions.
diff --git a/data/preprocessed.dvc b/data/preprocessed.dvc
@@ -1,6 +1,6 @@
 outs:
-- md5: 4d54e5afdc5cc66f82234c9738f75aa0.dir
-  size: 6071861
+- md5: 34b7b7a80c1b5d66d86e05a7978b83e9.dir
+  size: 5882269
   nfiles: 4
   hash: md5
   path: preprocessed
diff --git a/src/data/make_dataset.py b/src/data/make_dataset.py
@@ -67,7 +67,7 @@ def process_data(input_filepath_users, input_filepath_caract, input_filepath_pla
     df = drop_columns(df)
 
     # Drop lines with NaN values
-    #df = drop_lines_with_nan_values(df)
+    df = drop_lines_with_nan_values(df)
 
     # Split data into training and testing sets
     X_train, X_test, y_train, y_test = split_data(df)