Becca McBrayer

@chukarsten yup, that bright magenta, next to the `estimator.py:80(predict)`. The details are on the side, annoyingly the screenshot removed my mouse hovering over that section.

The motivation for this issue stems from [this comment](https://github.com/alteryx/evalml/issues/2628#issuecomment-912018475). Some datasets, including `restaurants.csv` from issue #2628, are almost doomed to fail thanks to the curse of dimensionality. Adding dimensionality reduction...

I would argue this is a nullable type incompatibility. Any null values that enter pipelines with an ARIMARegressor should be imputed before reaching the estimator, and we don't expect our...

Hi @Sanojdon, thanks for filing! It looks like your version of evalml might be out of date. Could you post which version you're trying to run?

The same issue has come up with the networkx package bumping their minimum version to Python 3.9, with the version bumping again to 3.10 in the next release. We have...

Scipy has[ not supported < Python 3.9 since v1.10](https://github.com/scipy/scipy/releases), their newest release of v1.12 has breaking changes with evalml.

Dependencies which have dropped support for Python 3.8 at this point (3/22/24) are: - pandas (dropped 2.1.0, currently on 2.2.1) - networkx (dropped 3.2.0, currently on 3.2.1) - scipy (dropped...

After the merge of #4414, we have unpinned a number of the dependencies above. Those that remain pinned are: - pandas - scipy - shap

Note: this should resolve #3190 as well

Hi @HrBiuz - the error you're getting doesn't seem to be coming from evalml directly. Would you mind sharing the dataset you're training with, so I can see if I...