JonathanBechtel

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Moore-Penrose pseudo-inverse in linear regression

> i thought both were right, and pinv is more efficient. > and i thought the third row(113) should be > V.T.dot(...) > maybe a typo? I looked into it...

Moore-Penrose pseudo-inverse in linear regression

Also, for what it's worth, I think the current solution in place is a bit more 'expressive' than just using `np.linalg.pinv(X)`. They both ultimately do the same thing, but assuming...

[BUG] features in `TimeSeriesForestClassifier` `feature_importances_` property are not clearly documented or labelled

@Div12345 So I am beginning to take a fresh look at this issue of the feature importances for the TimeSeriesForest, and this has not been fixed yet. Any interest in...

Important caveats: lookback > 1 for the interpretable setting?

Thank you, will take a look at this.

The prediction is simply to repeat the last value

@korosig Thank you for writing. I'll look into it.

[ENH] add at least one usage example to docstrings of estimators

@fkiraly After PR #4272 gets accepted I'll work on one for `TimeSeriesForestRegressor` and `ForecastingRandomizedSearchCV`

[BUG] Data Loaders for .ts files return target as a string

Thanks. Hadn't thought about the detail of it being a public facing function, will submit a PR with that in mind.