Target Transformation in ML_Forecast class not working (workaround solution included)

[nisargvp]

I tried making the target stationary to account for extrapolation issues with tree-based models but encountered a frequency inference error and had to manually set a frequency of "30min".
 

Modern-Time-Series-Forecasting-with-Python/src/forecasting/ml_forecasting.py

Line 308 in 686f29e

y = self.target_transformer.fit_transform(y)

Issue is with regards to frequency not being inferred from the target (not sure of the reason why?). I overrode it by modifying the code as such: y = self.target_transformer.fit_transform(y.asfreq('30min'))

Can you suggest a better way to debug this (may be there is an issue with the data itself?) and help me with a reason of why this might happening?

[manujosephv]

So, this pandas inferring frequency is a bit dicey. If we know the frequency, it would be better to handle it ourselves. Typically, what I have seen is that whenever freq isn't inferred, its due to data issues (like duplicate rows, missing rows etc.)