From 147dc49ab5dd496fdc28cd92a0e0cce89e0d2d83 Mon Sep 17 00:00:00 2001 From: Sebastian Raschka Date: Mon, 15 Sep 2025 21:47:20 -0500 Subject: [PATCH] rename eval method (#832) --- ch06/03_bonus_imdb-classification/train_sklearn_logreg.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/ch06/03_bonus_imdb-classification/train_sklearn_logreg.py b/ch06/03_bonus_imdb-classification/train_sklearn_logreg.py index 7842d12..4f03b56 100644 --- a/ch06/03_bonus_imdb-classification/train_sklearn_logreg.py +++ b/ch06/03_bonus_imdb-classification/train_sklearn_logreg.py @@ -19,7 +19,7 @@ def load_dataframes(): return df_train, df_val, df_test -def eval(model, X_train, y_train, X_val, y_val, X_test, y_test): +def eval_model(model, X_train, y_train, X_val, y_val, X_test, y_test): # Making predictions y_pred_train = model.predict(X_train) y_pred_val = model.predict(X_val) @@ -67,9 +67,9 @@ if __name__ == "__main__": dummy_clf.fit(X_train, y_train) print("Dummy classifier:") - eval(dummy_clf, X_train, y_train, X_val, y_val, X_test, y_test) + eval_model(dummy_clf, X_train, y_train, X_val, y_val, X_test, y_test) print("\n\nLogistic regression classifier:") model = LogisticRegression(max_iter=1000) model.fit(X_train, y_train) - eval(model, X_train, y_train, X_val, y_val, X_test, y_test) + eval_model(model, X_train, y_train, X_val, y_val, X_test, y_test)