Updated MLFlow server removed commented code #789
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phsiao
reviewed
Aug 12, 2019
| if not feature_names is None and len(feature_names)>0: | ||
| df = pd.DataFrame(data=X, columns=feature_names) | ||
| else: | ||
| df = pd.DataFrame(data=X) | ||
| result = self._model.predict(X) | ||
| log.info(f"Prediction result: {result}") | ||
| return result |
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Should this be converted back to numpy also?
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The output comes back as a numpy array so no need to convert back
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