Add the validation score and training time for create_function in XGBoost #1327
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xzdandy
reviewed
Nov 1, 2023
| @@ -674,7 +682,10 @@ def exec(self, *args, **kwargs): | |||
| msg = f"Function {self.node.name} overwritten." | |||
| else: | |||
| msg = f"Function {self.node.name} added to the database." | |||
| yield Batch(pd.DataFrame([msg])) | |||
| if best_score and train_time: | |||
| yield Batch(pd.DataFrame([msg, best_score, train_time])) | |||
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Could we add some text? Other wise, it will be just two numbers without any explanation.
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Added some annotations
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added 2 commits
November 1, 2023 22:59
Fixing minor issue.
xzdandy
approved these changes
Nov 2, 2023
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Let us show the validation score and training time for the XGBoost AutoML model trained. This shall give us fair enough idea on how the model trained on the training data set.