docs: fix undefined variable and comment mismatch in time series forecast example

[Nefelibata (MeiSiristhebest)]

Fixes #1173 and #1174 (part of #1570).

In website/docs/Examples/AutoML-Time series forecast.md:

• Fix NameError in multivariate forecasting example: update dataframe=df to dataframe=multi_train_df (the DataFrame created in preceding steps).
• Fix comment mismatch: update # remove temperature column to reduce redundancy to # remove month column to reduce redundancy.

[Copilot]

Pull request overview

Fixes two errors in the multivariate forecasting documentation example.

Changes:

• Corrects the deleted-column comment.
• Uses the defined multivariate training DataFrame.

Suppressed comments (1)

website/docs/Examples/AutoML-Time series forecast.md:534

• The multivariate split reserves 180 rows via multi_time_horizon, but this still passes the earlier univariate example's 12-row time_horizon. This tunes/validates for the wrong forecast length and differs from the matching notebook example; pass multi_time_horizon here.

automl.fit(dataframe=multi_train_df, **settings, period=time_horizon)

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[Nefelibata (MeiSiristhebest)]

Updated notebook/automl_time_series_forecast.ipynb comment to match the deleted month column and fixed period=multi_time_horizon in website/docs/Examples/AutoML-Time series forecast.md to align with the notebook example. Ready for review!

[Copilot]

Pull request overview

Copilot reviewed 2 out of 2 changed files in this pull request and generated no new comments.