Taylor G Smith comments

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                                            Taylor G Smith

Env files require strict whitespace

Anyone make any progress on this?

auto_arima returns flat predictions for near-zero scaled time series

Looks like it still presents even with the latest statsmodels (0.14.0) when using the default optimizer (`'lbfgs'`): ``` File "statsmodels/tsa/statespace/_representation.pyx", line 1373, in statsmodels.tsa.statespace._representation.dStatespace.initialize File "statsmodels/tsa/statespace/_representation.pyx", line 1362, in statsmodels.tsa.statespace._representation.dStatespace.initialize...

AutoArima 0 mean (no intercept) with constant time series

Please feel free @shreyash-Pandey-Katni, and thank you for offering. I've not had the time to look at this

Stepwise selection of exogenous features

This is a cool idea. I think practically the best way to handle this would be to create an exog transformer that performs feature selection (i.e., similar to sklearn [`VarianceThreshold`](https://scikit-learn.org/stable/modules/feature_selection.html))...

Taylor G Smith

Env files require strict whitespace

auto_arima returns flat predictions for near-zero scaled time series

AutoArima 0 mean (no intercept) with constant time series

Stepwise selection of exogenous features

CI Actions and pip release for Apple M1 arm64 arch

Runtimes slow down dramatically proportionally with feature file size

Runtimes slow down dramatically proportionally with feature file size

Runtimes slow down dramatically proportionally with feature file size

Type inference failed. This indicates an invalid graph that escaped type checking. Error message: INVALID_ARGUMENT

[WIP] Support numpy 2.0