[ML-52574] Add a new predict function for generating prediction table with covariates #169
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apeforest
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Apr 26, 2025
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| test_df.rename(columns={self._time_col: "ds"}, inplace=True) | ||
| predict_df = self.model().predict(test_df) | ||
| return predict_df |
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Is this the only difference from def predict above?
- why do we need other field? Can we concatenate them with predict_df['yhat'] outside of the call?
- this function looks almost identical from the one above. can we refactor if answer to (1) is justified.
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This PR adds a new predict function, predict_with_full_df_returned, to support prediction table with covariates for prophet.